Reasoning about mental states and processes is important in various subareas of the legal domain. A trial lawyer might need to reason and the beliefs, reasoning and other mental states and processes of members of a jury; a police officer might need to reason about the conjectured beliefs and reasoning of perpetrators; a judge may need to consider a defendant's mental states and processes for the purposes of sentencing (...) and so on. Further, the mental states in question may themselves be about the mental states and processes of other people. Therefore, if AI systems are to assist with reasoning tasks in law, they may need to be able to reason about mental states and processes. Such reasoning is riddled with uncertainty, and this is true in particular in the legal domain. The article discusses how various different types of uncertainty arise, and shows how they greatly complicate the task of reasoning about mental states and processes. The article concentrates on the special case of states of belief and processes of reasoning, and sketches an implemented, prototype computer program (ATT-Meta) that copes with the various types of uncertainty in reasoning about beliefs and reasoning. In particular, the article outlines the system's facilities for handling conflict between different lines of argument, especially when these lie within the reasoning of different people. The system's approach is illustrated by application to a real-life mugging example. [NB: The date on the archived preprint avail via this Phil* page has an incorrect date, 2011, on it. The correct date is 2001.]. (shrink)

In recent years, the human ability to reasoning about mental states of others in order to explain and predict their behavior has come to be a highly active area of research. Researchers from a wide range of fields { from biology and psychology through linguistics to game theory and logic{ contribute new ideas and results. This interdisciplinary workshop, collocated with the Thirteenth International Conference on Theoretical Aspects of Rationality and Knowledge (TARK XIII), aims to shed light (...) on models of social reasoning that take into account realistic resource bounds. People reason about other people's mental states in order to understand and predict the others' behavior. This capability to reason about others' knowledge, beliefs and intentions is often referred to as theory of mind. Idealized rational agents are capable of recursion in their social reasoning, and can reason about phenomena like common knowledge. Such idealized social reasoning has been modeled by modal logics such as epistemic logic and BDI (belief, desire, intention) logics and by epistemic game theory. However, in real-world situations, many people seem to lose track of such recursive social reasoning after only a few levels. The workshop provides a forum for researchers that attempt to analyze, understand and model how resource-bounded agents reason about other minds. (shrink)

In daily life, perceivers often need to predict and interpret the behavior of group agents, such as corporations and governments. Although research has investigated how perceivers reason about individual members of particular groups, less is known about how perceivers reason about group agents themselves. The present studies investigate how perceivers understand group agents by investigating the extent to which understanding the ‘mind’ of the group as a whole shares important properties and processes with understanding the minds of (...) individuals. Experiment 1 demonstrates that perceivers are sometimes willing to attribute a mental state to a group as a whole even when they are not willing to attribute that mental state to any of the individual members of the group, suggesting that perceivers can reason about the beliefs and desires of group agents over and above those of their individual members. Experiment 2 demonstrates that the degree of activation in brain regions associated with attributing mental states to individuals—i.e., brain regions associated with mentalizing or theory-of-mind, including the medial prefrontal cortex (MPFC), temporo-parietal junction (TPJ), and precuneus—does not distinguish individual from group targets, either when reading statements about those targets' mental states (directed) or when attributing mental states implicitly in order to predict their behavior (spontaneous). Together, these results help to illuminate the processes that support understanding group agents themselves. (shrink)

Simulation theory explains third-person mental state attribution in terms of an attributor's ability to imaginatively mimic other people's mental processes. Jane Heal's version of simulation theory, which she calls a theory of “co-cognition,” maintains that one can know and can predict others’ beliefs primarily by thinking about what their antecedent beliefs imply. I argue that Heal's account of belief attribution elides crucial differences between reasoning and merely discovering relations among propositions.

What makes certain mental states subject to evaluation with respect to norms of rationality and justification, and others arational? In this paper, I develop and defend an account that explains why belief is governed by, and so appropriately subject to, evaluation with respect to norms of rationality and justification, one that does justice to the complexity of our evaluative practice in this domain. Then, I sketch out a way of extending the account to explain when and why (...) class='Hi'>other kinds of mental states are rationally evaluable. I argue that the cognitive or psychological mechanisms that give rise to and sustain our mental states help to render our mental states appropriate targets for evaluation with respect to norms of rationality and justification when the operation of these mechanisms is responsive, in a specific way, to our judgments about which kinds of considerations constitute rationalizing and justifying reasons for being in states of the relevant sort. (shrink)

In the philosophical literature on mental states, the paradigmatic examples of mental states are beliefs, desires, intentions, and phenomenal states such as being in pain. The corresponding list in the psychological literature on mental state attribution includes one further member: the state of knowledge. This article examines the reasons why developmental, comparative and social psychologists have classified knowledge as a mental state, while most recent philosophers--with the notable exception of Timothy Williamson-- have not. (...) The disagreement is traced back to a difference in how each side understands the relationship between the concepts of knowledge and belief, concepts which are understood in both disciplines to be closely linked. Psychologists and philosophers other than Williamson have generally have disagreed about which of the pair is prior and which is derivative. The rival claims of priority are examined both in the light of philosophical arguments by Williamson and others, and in the light of empirical work on mental state attribution. (shrink)

An important part of our Theory of Mind—the ability to reason about other people's unobservable mental states—is the ability to attribute false beliefs to others. We investigated whether processing these false beliefs, as well as similar but nonmental representations, is reliant on language. Participants watched videos in which a protagonist hides a gift and either takes a photo of it or writes a text about its location before a second person inadvertently moves the present to (...) a different location, thereby rendering the belief and either the photo or text false. At the same time, participants performed either a concurrent verbal interference task (rehearsing strings of digits) or a visual interference task (remembering a visual pattern). Results showed that performance on false belief trials did not decline under verbal interference relative to visual interference. We interpret these findings as further support for the view that language does not form an essential part of the process of reasoning online (“in the moment”) about false beliefs. (shrink)

This paper is a commentary on the target article by Lokendra Shastri & Venkat Ajjanagadde [S&A]: “From simple associations to systematic reasoning: A connectionist representation of rules, variables and dynamic bindings using temporal synchrony” in same issue of the journal, pp.417–451. -/- It puts S&A's temporal-synchrony binding method in a broader context, comments on notions of pointing and other ways of associating information - in both computers and connectionist systems - and mentions types of reasoning that are (...) a challenge to S&A's system (amongst many other connectionist systems, recognizing that S&A's is much more capable as regards reasoning than most other contemporary systems). (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Walking the Bodhisattva Path/Walking the Christ PathU.S. Conference of Catholic BishopsCatholics and Buddhists brought together by Dharma Realm Buddhist Association, the San Francisco Zen Center, and the United States Conference of Catholic Bishops (USCCB) met 20-23 March 2003 in the first of an anticipated series of four annual dialogues. Abbot Heng Lyu, the monks and nuns, and members of the Dharma Realm Buddhist Association hosted the dialogue at (...) the City of Ten Thousand Buddhas in Talmage, California. The community had transformed their Confucius Hall into a chapel, with a large, newly constructed wooden cross on a wall above an altar facing out from a raised platform, so the Catholic delegation would have a space for worship. A special poster announcing the theme of the conference, "Walking the Bodhisattva Path/Walking the Christ Path," showing a Buddhist dharma wheel at one foot of a bridge and a Celtic cross at the other foot, had been created by the hosting community.The daily schedule for the dialogue did not interfere with the monastic routine at the City of Ten Thousand Buddhas, which included early morning chanting (4:00-5:00 am), daily rituals in the Buddha Hall, and the single large meal for monastics before noon to which all participants were invited. Catholics and Buddhists meeting in the dialogue began each day with an optional forty-five minutes of quiet sitting together in the monastery meditation hall, each following their own form of meditation and prayer. There was a Eucharist on Friday and Saturday evenings for the Catholics and to which the Buddhists were invited, and additional meals of breakfast and supper throughout the meeting at the City's Jyun Kang Restaurant.Fourteen Buddhists and fourteen Catholics participated in the formal discussions. Each participant spoke on what it means to them to follow Christ or the way of the Bodhisattvas or enlightened beings. In addition to speaking, each participant distributed a short passage, usually from a traditional text, on this topic. Several passages from Master Dogen's Shobogenzo and the Gospel of John were among those shared by the group. Other passages shared were taken from the Avatamsaka Sutra and the Shurangama Sutra and from the other gospels and the writings of Zen master HakuinZenji, the Dalai Lama, Korean Zen Master I-sahn Hye-yeon, the teachings of Master [End Page 247] Hsuan Hua, Shantideva, Origen, St. Ignatius, St. Benedict, the author of The Cloud of Unknowing, St. John of the Cross, and Chiara Lubich. A minute of silence separated the fifteen-minute segments for each presentation. With so large a group, most of the time in the formal sessions involved listening to series of presentations; however, during discussion periods the participants asked several challenging questions of one another.Some participants noted the tension they felt between belonging to a particular religious group and the need to let go of any consequential narrowness. The goal of the discussion was to promote understanding of the differences and similarities between Christianity and Buddhism. At one point, the participants noted several concerns about mutual enrichment: whether Buddhist methods can be separated from Buddhism and Christian methods from Christianity, and what specific aspects of Christian practice truly enrich Buddhists and which Buddhist practices likewise enrich Christians. Several times participants discussed their understanding of terms such as transformation, grace, the incarnation and the passion of Jesus, discernment of spirits, prayer, Buddha-nature, and related terms. There was consensus that Buddhists and Catholics can practically help one another regarding mental cultivation and religious precepts. They expressed this consensus in their choice of the topic forthe next dialogue, "Transformation of Hearts and Minds: Chan/Zen-Catholic Approaches to Precepts."The group agreed to reconvene in 2004 to respond to six presentations, three from each side, on different aspects of this topic.Chairing the sessions were Rev. Heng Sure for the Dharma Realm Buddhist Association, Rev. Taigen Dan Leighton for the San Francisco Zen Center, and Bishop John Webster for the United States Conference of Catholic Bishops. Their three organizations are the sponsors of the Northern California Chan/Zen-Catholic Dialogue. Chan and Zen are respectively the Chinese and Japanese terms for the meditation school... (shrink)

Fictionalists propose that some apparently fact-stating discourses do not aim to convey factual information about the world, but rather allow us to engage in a fiction or pretense without incurring ontological commitments. Some philosophers have suggested that using mathematical, modal, or moral discourse, for example, need not commit us to the existence of mathematical objects, possible worlds, or moral facts. The mental fictionalist applies this reasoning to our mental discourse, suggesting that we can use ‘belief’ and (...) ‘desire’ talk without committing to the existence of beliefs and desires as mental entities. Most arguments for mental fictionalism are based on two key suppositions: first, that there are ontological concerns about mental entities; and second, that these ontological concerns justify a fictionalist interpretation of mental discourse. This paper challenges both suppositions and argues that the standard arguments for mental fictionalism are substantially weaker than arguments for other forms of fictionalism in the philosophical literature. (shrink)

We investigated whether (a) people positively reevaluate the characters of recently dead others and (b) supernatural primes concerning an ambient dead agent serve to curb selfish intentions. In Study 1, participants made trait attributions to three strangers depicted in photographs; one week later, they returned to do the same but were informed that one of the strangers had died over the weekend. Participants rated the decedent target more favorably after learning of his death whereas ratings for the control targets remained (...) unchanged between sessions. This effect was especially pronounced for traits dealing with the decedent’s prosocial tendencies (e.g., ethical, kind). In Study 2, a content analysis of obituaries revealed a similar emphasis on decedents’ prosocial attributes over other personality dimensions (e.g., achievement-relatedness, social skills). Finally, in Study 3, participants who were told of an alleged ghost in the laboratory were less likely to cheat on a competitive task than those who did not receive this supernatural prime. The findings are interpreted as evidence suggestive of adaptive design. (shrink)

Behavior oftentimes allows for many possible interpretations in terms of mental states, such as goals, beliefs, desires, and intentions. Reasoning about the relation between behavior and mental states is therefore considered to be an effortful process. We argue that people use simple strategies to deal with high cognitive demands of mental state inference. To test this hypothesis, we developed a computational cognitive model, which was able to simulate previous empirical findings: In two-player games, (...) people apply simple strategies at first. They only start revising their strategies when these do not pay off. The model could simulate these findings by recursively attributing its own problem solving skills to the other player, thus increasing the complexity of its own inferences. The model was validated by means of a comparison with findings from a developmental study in which the children demonstrated similar strategic developments. (shrink)

Behavior oftentimes allows for many possible interpretations in terms of mental states, such as goals, beliefs, desires, and intentions. Reasoning about the relation between behavior and mental states is therefore considered to be an effortful process. We argue that people use simple strategies to deal with high cognitive demands of mental state inference. To test this hypothesis, we developed a computational cognitive model, which was able to simulate previous empirical findings: In two-player games, (...) people apply simple strategies at first. They only start revising their strategies when these do not pay off. The model could simulate these findings by recursively attributing its own problem solving skills to the other player, thus increasing the complexity of its own inferences. The model was validated by means of a comparison with findings from a developmental study in which the children demonstrated similar strategic developments. (shrink)

Behavior oftentimes allows for many possible interpretations in terms of mental states, such as goals, beliefs, desires, and intentions. Reasoning about the relation between behavior and mental states is therefore considered to be an effortful process. We argue that people use simple strategies to deal with high cognitive demands of mental state inference. To test this hypothesis, we developed a computational cognitive model, which was able to simulate previous empirical findings: In two-player games, (...) people apply simple strategies at first. They only start revising their strategies when these do not pay off. The model could simulate these findings by recursively attributing its own problem solving skills to the other player, thus increasing the complexity of its own inferences. The model was validated by means of a comparison with findings from a developmental study in which the children demonstrated similar strategic developments. (shrink)

The first step in reasoning about actions and change involves reasoning about how the world would evolve if a certain action is executed in a certain state. Most research on this assumes the evolution to be only a single step and focus on formulating the transition function that defines changes between states due to actions. In this paper we consider cases where the evolution is more than just a single change between one state and another. (...) This is manifested when the execution of an action may trigger execution of other actions, or when multiple agents act on the environment following certain strategies. (shrink)

Humans have distinctive powers of reflection: no other animal seems to have anything like our capacity for self-examination. Many philosophers hold that this capacity has a uniquely important guiding role in our cognition; others, notably Hilary Kornblith, draw attention to its weaknesses. Kornblith chiefly aims to dispel the sense that there is anything ‘magical’ about second-order mental states, situating them in the same causal net as ordinary first-order mental states. But elsewhere he goes further, (...) suggesting that there is something deeply misleading about reflection’s first-person view of cognition. This chapter takes a closer look at the conditions under which reflection is misleading. Even if humans are the only reflective animals, we are no longer the only creatures that can be questioned about their claims. Chatbots can also be asked to explain themselves, and by studying the conditions under which they produce clarification as opposed to confabulation, we can develop a non-skeptical account of the epistemic value of reflection. I argue that this capacity naturally supports the distribution of complex problem solving among multiple agents. (shrink)

Past research has identified a number of asymmetries based on moral judgments. Beliefs about what a person values, whether a person is happy, whether a person has shown weakness of will, and whether a person deserves praise or blame seem to depend critically on whether participants themselves find the agent's behavior to be morally good or bad. To date, however, the origins of these asymmetries remain unknown. The present studies examine whether beliefs about an agent's “true self” explain (...) these observed asymmetries based on moral judgment. Using the identical materials from previous studies in this area, a series of five experiments indicate that people show a general tendency to conclude that deep inside every individual there is a “true self” calling him or her to behave in ways that are morally virtuous. In turn, this belief causes people to hold different intuitions about what the agent values, whether the agent is happy, whether he or she has shown weakness of will, and whether he or she deserves praise or blame. These results not only help to answer important questions about how people attribute various mental states to others; they also contribute to important theoretical debates regarding how moral values may shape our beliefs about phenomena that, on the surface, appear to be decidedly non-moral in nature. (shrink)

In the multi-agent setting, it is relevant to model group dynamics of agents, and logic has proved a good tool to do so. We propose an epistemic logic, L-DINF-E, that allows one to formalize what are the beliefs formed by a group of agents, where several groups exist and agents can pass from a group to another one. We introduce a new modality which allows an agent to reason about the beliefs of other agents. This allows us to (...) model aspects of the “Theory of Mind”, understood as the set of social-cognitive skills involving the ability to attribute and reason about mental states, desires, beliefs, and knowledge of agents. In this paper, we present the logic L-DINF-E and illustrate how it can be used to solve “false-belief tasks”, i.e., tests in which an agent should understand that some other agent may develop, under some circumstances, false beliefs. (shrink)

Moral judgment depends critically on theory of mind, reasoning about mental states such as beliefs and intentions. People assign blame for failed attempts to harm and offer forgiveness in the case of accidents. Here we use fMRI to investigate the role of ToM in moral judgment of harmful vs. helpful actions. Is ToM deployed differently for judgments of blame vs. praise? Participants evaluated agents who produced a harmful, helpful, or neutral outcome, based on a harmful, helpful, (...) or neutral intention; participants made blame and praise judgments. In the right temporo-parietal junction, and, to a lesser extent, the left TPJ and medial prefrontal cortex, the neural response reflected an interaction between belief and outcome factors, for both blame and praise judgments: The response in these regions was highest when participants delivered a negative moral judgment, i.e., assigned blame or withheld praise, based solely on the agent's intent. These results show enhanced attention to mental states for negative moral verdicts based exclusively on mental state information. (shrink)

Judgementalism is an interpretation of normative decision theory according to which preferences are all-things-considered judgements of relative desirability, and the only attitudes that rationally constrain choice. The defence of judgementalism we find in Richard Bradley’s Decision Theory with a Human Face relies on a kind of internalism about the requirements of rationality, according to which they supervene on an agent’s mental states, and in particular those she can reason from. I argue that even if we grant such (...) internalism, attitudes other than preferences in the judgementalist sense rationally constrain choice. This ultimately supports a different interpretation of preference. (shrink)

We relate the theory of presupposition accommodation to a computational framework for reasoning in conversation. We understand presuppositions as private commitments the speaker makes in using an utterance but expects the listener to recognize based on mutual information. On this understanding, the conversation can move forward not just through the positive effects of interlocutors’ utterances but also from the retrospective insight interlocutors gain about one anothers’ mental states from observing what they do. Our title, ENLIGHTENED UPDATE, (...) highlights such cases. Our approach fleshes out two key principles: that interpretation is a form of intention recognition; and that intentions are complex informational structures, which specify commitments to conditions and to outcomes as well as to actions. We present a formalization and implementation of these principles for a simple conversational agent, and draw on this case study to argue that pragmatic reasoning is holistic in character, continuous with common-sense reasoning about collaborative activities, and most effectively characterized by associating specific, reliable interpretive constraints directly with grammatical forms. In showing how to make such claims precise and to develop theories that respect them, we illustrate the general place of computation in the cognitive science of language. (shrink)

It is common in philosophy for philosophers to consult their intuitions regarding philosophical issues, and then use those intuitions as evidence for their arguments. For instance, an incompatibilist about moral responsibility might argue that her position is correct because it is intuitive that, given a deterministic world, people cannot be morally responsible. One might ask whether or not the philosopher is justified in using intuitions in her argument, but it seems that in order to answer this, we require an (...) understanding of what intuitions are. One characterisation of intuitions is that they are either ordinary beliefs, beliefs with particular aetiologies, or inclinations to believe. An alternative view is that intuitions are unique, sui generis mental states, unique in the sense that they cannot be fully understood in terms of other mental states. In this essay, I defend the belief view of intuitions. I argue that intuitions are inclinations to believe, which are derived from unconscious reasoning processes which take our background beliefs and theories as input. I defend this view against Elijah Chudnoff’s claim that intuitions are sui generis mental states akin to perceptual experiences. I suggest that the analogy Chudnoff draws between perceptions and intuitions does not hold, because perceptions are belief independent, while intuitions are not. I then respond to Chudnoff’s counter-example to the belief view, which is that it is possible to have an intuition but no corresponding belief or inclination to believe. I formulate an error theory which demonstrates that it is possible to confuse the rejection of an intuition as part of our consciously derived beliefs, with the elimination of an intuition as part of our unconsciously derived beliefs. Such confusion, I suggest, leads to Chudnoff’s putative counter-example that it is possible to have an intuition and yet no inclination to believe in it. (shrink)

Our ability to attribute mental states to others ("to mentalize") has been the subject of philosophical and psychological studies for a very long time, yet the role of language acquisition in the development of our mentalizing abilities has been largely understudied. This book addresses this gap in the philosophical literature. -/- The book presents an account of how false belief reasoning is impacted by language acquisition, and it does so by placing it in the larger context of (...) the issue, how language impacts cognition in general. The work provides the reader with detailed and critical literature reviews, and draws on them to argue that language acquisition helps false belief reasoning by boosting the ability to create schemata that facilitate processing of information in some social contexts. According to this framework, it is a combination of syntactic clues and cultural narratives that helps the child to solve the classic false belief task. -/- The book provides a novel, original account of how language helps false belief reasoning, while also giving the reader a broad, precise and well-documented picture of the debate around some of the most fundamental issues in social cognition. (shrink)

According to the Conscience Principle, it is never morally permissible to act contrary to conscience. The plausibility of this being a genuine moral principle depends on what conscience is, whether it can be mistaken, and what its role is in general moral psychology. Thomas Aquinas endorses and defends a unique version of the Conscience Principle. What’s especially interesting about his unorthodox (for his time) view on conscience is that it seems to split the difference between the views we might (...) expect to support the Conscience Principle: On the one hand, thoroughgoing subjectivism on which all moral facts and obligations are a function of agents’ mental states, and on the other hand, objectivist intuitionism on which there is an external moral law but a faculty of conscience gives us inerrant access to it. Aquinas claims that there are objective moral truths, that conscience fallibly represents those truths, and yet, conscience always generates moral obligations, whether it is correct or incorrect. Aquinas’s view will strike many initially as puzzling, perhaps even incoherent. To make sense of it, we must understand that for Aquinas the Conscience Principle is not just one moral principle among many; instead, it falls out of a novel and philosophically powerful metaethical view of moral obligations (or what we might call requiring moral reasons). (shrink)

In this paper, we first propose a simple formal language to specify types of agents in terms of necessary conditions for their announcements. Based on this language, types of agents are treated as ‘first-class citizens’ and studied extensively in various dynamic epistemic frameworks which are suitable for reasoning about knowledge and agent types via announcements and questions. To demonstrate our approach, we discuss various versions of Smullyan’s Knights and Knaves puzzles, including the Hardest Logic Puzzle Ever (HLPE) proposed (...) by Boolos (in Harv Rev Philos 6:62–65, 1996). In particular, we formalize HLPE and verify a classic solution to it. Moreover, we propose a spectrum of new puzzles based on HLPE by considering subjective (knowledge-based) agent types and relaxing the implicit epistemic assumptions in the original puzzle. The new puzzles are harder than the previously proposed ones in the literature, in the sense that they require deeper epistemic reasoning. Surprisingly, we also show that a version of HLPE in which the agents do not know the others’ types does not have a solution at all. Our formalism paves the way for studying these new puzzles using automatic model checking techniques. (shrink)

Using samples from three diverse populations, we test evolutionary hypotheses regarding how people reason about the inheritance of various traits. First, we provide a framework for differentiat-ing the outputs of mechanisms that evolved for reasoning about variation within and between biological taxa and culturally evolved ethnic categories from a broader set of beliefs and categories that are the outputs of structured learning mechanisms. Second, we describe the results of a modified “switched-at-birth” vignette study that we administered among (...) children and adults in Puno, Yasawa, and adults in the United States. This protocol permits us to study perceptions of prenatal and social transmission pathways for various traits and to differentiate the latter into vertical versus horizontal cultural influence. These lines of evidence suggest that people use all three mechanisms to reason about the distribution of traits in the population. Participants at all three sites develop expectations that morphological traits are under prenatal influence, and that belief traits are more culturally influenced. On the other hand, each population holds culturally specific beliefs about the degree of social influence on non-morphological traits and about the degree of vertical transmission—with only participants in the United States expecting parents to have much social influence over their children. We reinterpret people's differentiation of trait transmission pathways in light of humans' evolutionary history as a cultural species. (shrink)

This article takes off from Johan van Benthem’s ruminations on the interface between logic and cognitive science in his position paper “Logic and reasoning: Do the facts matter?”. When trying to answer Van Benthem’s question whether logic can be fruitfully combined with psychological experiments, this article focuses on a specific domain of reasoning, namely higher-order social cognition, including attributions such as “Bob knows that Alice knows that he wrote a novel under pseudonym”. For intelligent interaction, it is important (...) that the participants recursively model the mental states of other agents. Otherwise, an international negotiation may fail, even when it has potential for a win-win solution, and in a time-critical rescue mission, a software agent may depend on a teammate’s action that never materializes. First a survey is presented of past and current research on higher-order social cognition, from the various viewpoints of logic, artificial intelligence, and psychology. Do people actually reason about each other’s knowledge in the way proscribed by epistemic logic? And if not, how can logic and cognitive science productively work together to construct more realistic models of human reasoning about other minds? The paper ends with a delineation of possible avenues for future research, aiming to provide a better understanding of higher-order social reasoning. The methodology is based on a combination of experimental research, logic, computational cognitive models, and agent-based evolutionary models. (shrink)

This article takes off from Johan van Benthem’s ruminations on the interface between logic and cognitive science in his position paper “Logic and reasoning: Do the facts matter?”. When trying to answer Van Benthem’s question whether logic can be fruitfully combined with psychological experiments, this article focuses on a specific domain of reasoning, namely higher-order social cognition, including attributions such as “Bob knows that Alice knows that he wrote a novel under pseudonym”. For intelligent interaction, it is important (...) that the participants recursively model the mental states of other agents. Otherwise, an international negotiation may fail, even when it has potential for a win-win solution, and in a time-critical rescue mission, a software agent may depend on a teammate’s action that never materializes. First a survey is presented of past and current research on higher-order social cognition, from the various viewpoints of logic, artificial intelligence, and psychology. Do people actually reason about each other’s knowledge in the way proscribed by epistemic logic? And if not, how can logic and cognitive science productively work together to construct more realistic models of human reasoning about other minds? The paper ends with a delineation of possible avenues for future research, aiming to provide a better understanding of higher-order social reasoning. The methodology is based on a combination of experimental research, logic, computational cognitive models, and agent-based evolutionary models. Keywords Epistemic logic - Cognitive science - Intelligent interaction - Cognitive modeling. (shrink)

Few things matter more than the mental states of those nearby. Their ignorance defines limits on cooperation and presents opportunities to exploit in competition. What others feel, see and know can also provide information about events otherwise beyond your ken. It’s no surprise, then, that abilities to track others’ mental states are widespread. Many animals, including scrub jays, ravens, goats, dogs, ring-tailed lemurs, monkeys and chimpanzees, reliably vary their actions in ways that are appropriate given (...) facts about another’s mental states. What underpins such abilities to track others’ mental states? (shrink)

The notion of Simulative Reasoning in the study of propositional attitudes within Artificial Intelligence (AI) is strongly related to the Simulation Theory of mental ascription in Philosophy. Roughly speaking, when an AI system engages in Simulative Reasoning about a target agent, it reasons with that agent’s beliefs as temporary hypotheses of its own, thereby coming to conclusions about what the agent might conclude or might have concluded. The contrast is with non-simulative meta-reasoning, where the (...) AI system reasons within a detailed theory about the agent’s (conjectured) reasoning acts. The motive within AI for preferring Simulative Reasoning is that it is more convenient and efficient, because of a simplification of the representations and reasoning processes. The chapter discusses this advantage in detail. It also sketches the use of Simulative Reasoning in an AI natural language processing system, ATT-Meta, that is currently being implemented. This system is directed at the understanding of propositional attitude reports. In ATT-Meta, Simulative Reasoning is yoked to a somewhat independent set of ideas about how attitude reports should be treated. Central here are the claims that (a) speakers often employ commonsense (and largely metaphorical) models of mind in describing agents’ attitudes, (b) the listener accordingly needs often to reason within the terms of such models, rather than on the basis of any objectively justifiable characterization of the mind, and (c) the commonsense models filter the suggestions that Simulative Reasoning comes up with concerning target agents’ reasoning conclusions. There is a yet tighter connection between the commonsense models and the Simulative Reasoning. It turns out that Simulative Reasoning can be rationally reconstructed in terms of a more general type of reasoning about the possibly-counterfactual “world” that the target agent believes in, together with an assumption that that agent has a faithful representation of the world. In the ATT-Meta approach, the reasoner adopts that assumption when it views the target agent through a particular commonsense model (called IDEAS-AS-MODELS). (shrink)

Selfish, dishonest or malicious agents may find an interest in manipulating others. While many works deal with designing robust systems or manipulative strategies, few works are interested in defining in a broad sense what is a manipulation and how we can reason with such a notion. In this article, based on a social science literature, we give a general definition of manipulation for multi-agent systems. A manipulation is a deliberate effect of an agent – called manipulator – to instrumentalize another (...) agent – called victim – while making sure to conceal that effect. We present then a logical framework, called KBE, to express and reason about manipulations. Since manipulation relies on deliberate effects, KBE introduces a deliberate BIAT operator which abstracts deliberate consequences of actions. We prove that this logic is sound and complete. Furthermore,we express related notions such as coercion, persuasion, or deception. (shrink)

The Agent-Causal Theory of Action claims that an event counts as an action when, and only when, it is caused by an agent. The central difference between the Causal Theory of Action (CTA) and the Agent-Causal view comes down to a disagreement about what sort of item (or items) occupies the left-hand position in the causal relation. For CTA, the left-hand position is occupied by mental items within the agent, typically construed in terms of mental events (e.g., (...) belief/desire pairs or intentions). For the agent-causal theory, it is the agent herself (that is, a substance) which does the causing. Agent-causal theorists generally concede that some intentional actions involve causal relations that are best understood in eventcausal terms. Such intentional actions are "nonbasic," meaning that the agent does them by doing something else. But for any "basic" intentional action—behavior that, according to the agent-causal theorist, is caused directly by the agent—there is a causal relation between the agent, on the one hand, and the action, on the other, which is (i) primitive (not permitting of analysis) and (ii) irreducible to any other relation (including, importantly, the event-causal relation). (shrink)

Mindreading (or folk psychology, Theory of Mind, mentalizing) is the capacity to represent and reason about others’ mental states. The Simulation Theory (ST) is one of the main approaches to mindreading. ST draws on the common-sense idea that we represent and reason about others’ mental states by putting ourselves in their shoes. More precisely, we typically arrive at representing others’ mental states by simulating their mental states in our own mind. (...) This entry offers a detailed analysis of ST, considers theoretical arguments and empirical data in favour of and against it, discusses its philosophical implications, and illustrates some alternatives to it. (shrink)

As technology advances and artificial agents (AAs) become increasingly autonomous, start to embody morally relevant values and act on those values, there arises the issue of whether these entities should be considered artificial moral agents (AMAs). There are two main ways in which one could argue for AMA: using intentional criteria or using functional criteria. In this article, I provide an exposition and critique of “intentional” accounts of AMA. These accounts claim that moral agency should only be accorded to entities (...) that have internal mental states. Against this thesis I argue that the requirement of internal states is philosophically unsound as it runs up against the problem of other minds. In place of intentional accounts, I provide a functionalist alternative, which makes conceptual room for the existence of AMAs. The implications of this thesis are that at some point in the future we may be faced with moral situations in which no human being is responsible, but a machine may be. Moreover, this responsibility holds, I claim, independently of whether the agent in question is “punishable” or not. (shrink)

We address the way verb-based and rule-content knowledge are combined in understanding institutional deontics. Study 1 showed that the institutional regulations used in our studies were readily categorised into one of two content groups: rights or duties. Participants perceived rights as benefiting the addressees identified by the rule, whereas they perceived duties as benefiting the collective that imposed the rule. Studies 2, 3, and 4 showed that rule content had clear effects on perceptions of violations and relevance of cases for (...) explaining the rule, even when controlling for deontic verb, phrasing of the action permitted by a right, or the formality of the deontic verb. These effects are incompatible with a simple pragmatic disambiguation approach to pragmatic modulation, as they often induce permissibility judgments that contradict the core semantic meanings of the deontic verbs. Other ways of reconciling verb meaning with rule content should be considered in a fuller the.. (shrink)

While philosophers have been interested in animals since ancient times, in the last few decades the subject of animal minds has emerged as a major topic in philosophy. _The Routledge Handbook of Philosophy of Animal Minds_ is an outstanding reference source to the key topics, problems and debates in this exciting subject and is the first collection of its kind. Comprising nearly fifty chapters by a team of international contributors, the _Handbook_ is divided into eight parts: Mental representation (...) class='Hi'>Reasoning and metacognition Consciousness Mindreading Communication Social cognition and culture Association, simplicity, and modeling Ethics. Within these sections central issues, debates and problems are examined, including: whether and how animals represent and reason about the world; how animal cognition differs from human cognition; whether animals are conscious; whether animals represent their own mental states or those of others; how animals communicate; the extent to which animals have cultures; how to choose among competing models and explanations of animal behavior; and whether animals are moral agents and/or moral patients; The Routledge Handbook of Philosophy of Animal Minds is essential reading for students and researchers in philosophy of mind, philosophy of psychology, ethics and related disciplines such as ethology, biology, psychology, linguistics and anthropology. (shrink)

Mental (or semantic) holism is the doctrine that the identity of a belief content (or the meaning of a sentence that expresses it) is determined by its place in the web of beliefs or sentences comprising a whole theory or group of theories. It can be contrasted with two other views: atomism and molecularism. Molecularism characterizes meaning and content in terms of relatively small parts of the web in a way that allows many different theories to share those (...) parts. For example, the meaning of 'chase' might be said by a molecularist to be try to catch. Atomism characterizes meaning and content in terms of none of the web; it says that sentences and beliefs have meaning or content independently of their relations to other sentences or beliefs. One major motivation for holism has come from reflections on the natures of confirmation and learning. As Quine (1953) observed, claims about the world are confirmed not individually, but only in conjunction with theories of which they are a part. And typically, one cannot come to understand scientific claims without understanding a significant chunk of the theory of which they are a part. For example, in learning the Newtonian concepts of 'force', 'mass', kinetic energy' and 'momentum', one doesn't learn any definitions of these terms in terms that are understood beforehand, for there are no such definitions. Rather, these theoretical terms were all learned together in conjunction with procedures for solving problems. The major problem with holism is that it threatens to make generalization in psychology virtually impossible. If the content of any state depends on all others, it would be extremely unlikely that any two believers would ever share a state with the same content. Moreover, holism would appear to conflict with our ordinary conception of reasoning. What sentences one accepts influence what one infers. if i accept a sentence and then later reject it, i thereby change the inferential role of that sentence, so the meaning of what i accept wouldn't be the same as what i later reject. but then it would be difficult to understand on this view how one could rationally --or even irrationally!-- change one's mind. and agreement and translation are also problematic for much the same reason. holists have responded (1) by proposing that we should think not in terms of "same/different" meaning but in terms of a gradient of similarity of meaning, (2) by proposing "two factor" theories or (3) by simply accepting the consequence that there is no real difference between changing meanings and changing beliefs. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Philosophy's Role in Psychopathology Back to Jaspers and an Appeal to Grow PracticalThe author reports no conflicts of interest.In "Philosophy's role in theorizing psychopathology," Gibson presents a defense of the continued relevance of philosophy to psychopathology, and a non-exhaustive framework for the role of philosophy in this domain (Gibson, 2024). I find it hard to disagree that psychopathology is soaked in philosophy from its origins, and that to try (...) and dry it out would be both unwise and impossible.In this commentary, I go back to Karl Jaspers' account of the role of philosophy in his General Psychopathology. In doing so, I do not find that Gibson adds anything new, but instead gives us a well-illustrated reminder that philosophy "is operative within every living science" (Jaspers, 1997, p. 770).Situated Psychopathological TheorizingGibson addresses a broad 'we' who might be engaged with psychopathological theorizing. This seems to encompass three main settings, from which examples are drawn.1. Everyday and regulative social practices (ordinary and legal setting).2. Empirically driven disciplines which work with psychopathological constructs (academic setting).3. Psychiatry and psychotherapy (clinical setting).In my view, it is a mistake not to map the terrain where psychopathological theorizing is situated. In each setting psychopathological theorizing has its own set of aims and constraints. In the ordinary setting, the aim might be to know whether to blame a loved one for their action. In the legal setting it might be to decide whether treatment or punishment is appropriate. In the clinical setting, the aim is usually a therapeutic assessment, and moral stance taking is often best kept at bay. In the academic setting, we might want to ensure our concepts are reliable and valid, opening them up to investigation using objective scientific methods. [End Page 13]Beyond what can be said in the most general terms, the role of philosophy will look different in these different situations.Understanding Is Not (Just) a Philosophical ToolUnderstanding is a mode of knowing that is concerned with the particular, rather than the general, and accessed inter-relationally, relying on tacit knowledge and empathetic imagination. Gibson introduces the concept as an elementary form of social intuition, used in ordinary life to make sense of social relations and other people's behaviors and reactions. I agree with Gibson, drawing on Strawson, that Understanding is a mode of knowledge that involves the subject of enquiry as a participant (Strawson, 1982). There is a moral imperative to take this stance, which drives us to value the expansion of what we are able to understand of other people's mental states. This at least partly motivates the agenda when we theorize about psychopathology.At times throughout his argument, Gibson seems to be arguing for the role of Understanding in psychopathological theorizing, in place of his explicit aim of arguing for the role of philosophy. However it is not at all clear that this replacement can be made. Accepting the picture drawn, Understanding is not any more the expertise or domain of the philosopher than the author, police officer, or sociologist. We are surely not meant to take Understanding as a uniquely philosophical tool, but rather a mode of knowing available to all social agents, integral to social reasoning in ordinary life and in the human studies.What philosophy can distinctively do is point to and defend the existence of forms of intersubjective and tacit knowledge within human studies such as psychopathology. For Jaspers, Understanding can be a scientific tool, albeit one that reminds us that knowledge in psychopathology is not all of one kind. One role for philosophy therefore is to help us to "distinguish the different modes of knowing," so that we might "order knowledge into a comprehensive whole" (Jaspers, 1997, p. 769). This is akin to the 'synthetic' role that Gibson proposes.Philosophy and ScienceJaspers defines scientific knowledge broadly as knowledge with "general validity, convincing insights (which can be proved), clarity of method, and the possibility for a meaningful discussion" (Jaspers, 1997, p. 768).We do not get such a definition from Gibson, but in the sections of... (shrink)

What kind of thing is a reason for action? What is it to act for a reason? And what is the connection between acting for a reason and rationality? There is controversy about the many issues raised by these questions. In this paper I shall answer the first question with a conception of practical reasons that I call ‘Factualism’, which says that all reasons are facts. I defend this conception against its main rival, Psychologism, which says that practical reasons (...) are mental states or mental facts, and also against a variant of Factualism that says that some practical reasons are facts and others are false beliefs. I argue that the conception of practical reasons defended here provides plausible answers to the second and third questions above; and gives a more unified and satisfactory picture of practical reasons than those offered by its rivals. (shrink)

The side-effect effect, in which an agent who does not speci␣cally intend an outcome is seen as having brought it about intentionally, is thought to show that moral factors inappropriately bias judgments of intentionality, and to challenge standard mental state models of intentionality judgments. This study used matched vignettes to dissociate a number of moral factors and mental states. Results support the view that mental states, and not moral factors, explain the side-effect effect. However, (...) the critical mental states appear not to be desires as proposed in standard models, but rather ‘deeper’ evaluative states including values and core evaluative attitudes. (shrink)

The aim of this study is to justify the belief that there are biological normative mechanisms that fulfill non-trivial causal roles in the explanations (as formulated by researchers) of actions and behaviors present in specific systems. One example of such mechanisms is the predictive mechanisms described and explained by predictive processing (hereinafter PP), which (1) guide actions and (2) shape causal transitions between states that have specific content and fulfillment conditions (e.g. mental states). Therefore, I am guided (...) by a specific theoretical goal associated with the need to indicate those conditions that should be met by the non-trivial theory of normative mechanisms and the specific models proposed by PP supporters. In this work, I use classical philosophical methods, such as conceptual analysis and critical reflection. I also analyze selected studies in the field of cognitive science, cognitive psychology, neurology, information theory and biology in terms of the methodology, argumentation and language used, in accordance with their theoretical importance for the issues discussed in this study. In this sense, the research presented here is interdisciplinary. My research framework is informed by the mechanistic model of explanation, which defines the necessary and sufficient conditions for explaining a given phenomenon. The research methods I chose are therefore related to the problems that I intend to solve. In the introductory chapter, “The concept of predictive processing”, I discuss the nature of PP as well as its main assumptions and theses. I also highlight the key concepts and distinctions for this research framework. Many authors argue that PP is a contemporary version of Kantianism and is exposed to objections similar to those made against the approach of Immanuel Kant. I discuss this thesis and show that it is only in a very general sense that the PP framework is neo-Kantian. Here we are not dealing with transcendental deduction nor with the application of transcendental arguments. I argue that PP is based on reverse engineering and abduction inferences. In the second part of this chapter, I respond to the objection formulated by Dan Zahavi, who directly accuses this research framework of anti-realistic consequences. I demonstrate that the position of internalism, present in the so-called conservative PP, does not imply anti-realism, and that, due to the explanatory role played in it by structural representations directed at real patterns, it is justified to claim that PP is realistic. In this way, I show that PP is a non-trivial research framework, having its subject, specific methods and its own epistemic status. Finally, I discuss positions classified as the socalled radical PP. In the chapter “Predictive processing as a Bayesian explanatory model” I justify the thesis according to which PP offers Bayesian modeling. Many researchers claim that the brain is an implemented statistical probabilistic network that is an approximation of the Bayesian 7 rule. In practice, this means that all cognitive processes are to apply Bayes' rule and can be described in terms of probability distributions. Such a solution arouses objections among many researchers and is the subject of wide criticism. The purpose of this chapter is to justify the thesis that Bayesian PP is a non-trivial research framework. For this purpose, I argue that it explains certain phenomena not only at the computational level described by David Marr, but also at the level of algorithms and implementation. Later in this chapter I demonstrate that PP is normative modeling. Proponents of the use of Bayesian models in psychology or decision theory argue that they are normative because they allow the formulation of formal rules of action that show what needs to be done to make a given action optimal. Critics of this approach emphasize that such thinking about the normativity of Bayesian modeling is unjustified and that science should shift from prescriptive to descriptive positions. In a polemic with Shira Elqayam and Jonathan Evans (2011), I show that the division they propose into prescriptivism and Bayesian descriptivism is apparent, because, as I argue, there are two forms of prescriptivism, i.e. the weak and the strong. I argue that the weak version is epistemic and can lead to anti-realism, while the strong version is ontic and allows one to justify realism in relation to Bayesian models. I argue that a weak version of prescriptivism is valid for PP. It allows us to adopt anti-realism in relation to PP. In practice, this means that you can explain phenomena using Bayes' rule. This does not, however, imply that they are Bayesian in nature. However, the full justification of realism in relation to the Bayesian PP presupposes the adoption of strong prescriptivism. This position assumes that phenomena are explained by Bayesian rule because they are Bayesian as such. If they are Bayesian in nature, then they should be explained using Bayesian modeling. This thesis will be substantiated in the chapters “Normative functions and mechanisms in the context of predictive processing” and “Normative mechanisms and actions in predictive processing”. In the chapter “The Free Energy Principle in predictive processing”, I discuss the Free Energy Principle (hereinafter FEP) formulated by Karl Friston and some of its implications. According to this principle, all biological systems (defined in terms of Markov blankets) minimize the free energy of their internal states in order to maintain homeostasis. Some researchers believe that PP is a special case of applying this principle to cognition, and that predictive mechanisms are homeostatic mechanisms that minimize free energy. The discussion of FEP is important due to the fact that some authors consider it to be important for explanatory purposes and normative. If this is the case, then FEP turns out to be crucial in explaining normative predictive mechanisms and, in general, any normative biological mechanisms. To define the explanatory possibilities of this principle, I refer to the discussion of its supporters on the issue they define as the problem of continuity and discontinuity between life and mind. A critical analysis of this discussion and the additional arguments I have formulated have allowed me to revise the explanatory ambitions of FEP. I also reject the belief that this principle is necessary to explain the nature of predictive mechanisms. I argue that the principle formulated and defended by Friston is an important research heuristic for PP analysis. 8 In the chapter “Normative functions and mechanisms in predictive processing”, I start my analyzes by formulating an answer to the question about the normative nature of homeostatic mechanisms. I demonstrate that predictive mechanisms are not homeostatic. I defend the view that a full explanation of normative mechanisms presupposes an explanation of normative functions. I discuss the most important proposals for understanding the normativity of a function, both from a systemic and teleosemantic perspective. I conclude that the non-trivial concept of a function must meet two requirements which I define as explanatory and normative. I show that none of the theories I have invoked satisfactorily meets both of these requirements. Instead, I propose a model of normativity based on Bickhard's account, but supplemented by a mechanistic perspective. I argue that a function is normative when: (1) it allows one to explain the dysfunction of a given mechanism; (2) it contributes to the maintenance of the organism's stability by shaping and limiting possible relations, processes and behaviors of a given system; and when (3) (according to the representational and predictive functions) it enables explaining the attribution of logical values of certain representations / predictions. In such an approach, a mechanism is normative when it performs certain normative functions and when it is constitutive for a specific action or behavior, despite the fact that for some reason it cannot realize it either currently or in the long-term. Such an understanding of the normativity of mechanisms presupposes the acceptance of the epistemic hypothesis. I argue that this hypothesis is not cognitively satisfactory, and therefore the ontic hypothesis should be justified, which is directly related to adopting the position of ontic prescriptivism. For this reason, referring to the mechanistic theory of scientific explanations, I formulate an ontical interpretation of the concept of a normative mechanism. According to this approach, a mechanism or a function is normative when they perform such and such causal roles in explaining certain actions and behaviors. With regard to the normative properties of predictive mechanisms and functions, this means that they are the causes of specific actions an organism carries out in the environment. In this way, I justify the necessity of accepting the ontic hypothesis and rejecting the epistemic hypothesis. The fifth chapter, “Normative mechanisms and actions in predictive processing”, is devoted to the dark room problem and the related exploration-exploitation trade-off. A dark room is the state that an agent could be in if it minimized the sum of all potential prediction errors. I demonstrate that, in accordance with the basic assumption of PP about the need for continuous and long-term minimization of prediction errors, such a state should be desirable for the agent. Is it really so? Many authors believe it is not. I argue that the test of the value of PP is the possibility of a non-trivial solution of this problem, which can be reduced to the choice between active and uncertainty-increasing exploration and safe and easily predictable exploitation. I show that the solution proposed by PP supporters present in the literature does not enable a fully satisfactory explanation of this dilemma. Then I defend the position according to which the full explanation of the normative mechanisms, and, subsequently, the solution to the dilemma of exploration and exploitation, involves reference to the existence of constraints present in the environment. The constraints 9 include elements of the environment that make a given mechanism not only causal but also normative. They are therefore key to explaining the predictive mechanisms. They do not only play the role of the context in which the mechanism is implemented, but, above all, are its constitutive component. I argue that the full explanation of the role of constraints in normative predictive mechanisms presupposes the integration of individual models of specific cognitive phenomena, because only the mechanistic integration of PP with other models allows for a non-trivial explanation of the nature of normative predictive mechanisms that would have a strong explanatory value. The explanatory monism present in many approaches to PP makes it impossible to solve the problem of the dark room. Later in this chapter, I argue that the Bayesian PP is normative not because it enables the formulation of such and such rules of action, but because the predictive mechanisms themselves are normative. They are normative because they condition the choice of such and such actions by agents. In this way, I justify the hypothesis that normative mechanisms make it possible to explain the phenomenon of agent motivation, which is crucial for solving the dark room problem. In the last part of the chapter, I formulate the hypothesis of distributed normativity, which assumes that the normative nature of certain mechanisms, functions or objects is determined by the relations into which these mechanisms, functions or objects enter. This means that what is normative (in the primary sense) is the relational structure that constitutes the normativity of specific items included in it. I suggest that this hypothesis opens up many areas of research and makes it possible to rethink many problems. In the “Conclusion”, I summarize the results of my research and indicate further research perspectives. (shrink)

To summarize, in order for rational agents to be able to engage in the sophisticated kinds of reasoning exemplified by human beings, they must be able to introspect much of their cognition. The problem of other minds and the problem of knowing the mental states of others will arise automatically for any rational agent that is able to introspect its own cognition. The most that a rational agent can reasonably believe about other rational agents (...) is that they have rational architectures similar to its own, and that they have thoughts related to their rational architectures in certain ways. This leads to Rational Functionalism as an account of what it is to be a cognizer having mental states. That in turn entails that a computer can be a person in precisely the same sense as my next door neighbor if it can appropriately mimic my rational architecture. There is nothing I could know about my neighbor that I could not believe with equal justification about the computer. Rational Functionalism also makes it reasonable to define the narrow content of a thought to be its overall place in the agent's rational architecture, that is, its conceptual role. This is, however, avery narrow notion of content. For practical purposes, we are not interested in knowing the narrow contents of other people's thoughts. We are only interested in rather general properties of those narrow contents. This is what is expressed by the use ofthat-clauses in public language. (shrink)

How do mental states come to be about something other than their own operations, and thus to serve as ground for effective action? This papers argues that causation in the mental domain should be understood to function on principles of intelligibility (that is, on principles which make it perfectly intelligible for intentions to have a causal role in initiating behavior) rather than on principles of mechanism (that is, on principles which explain how causation works in (...) the physical domain). The paper considers Dharmakīrti’s kāryānumāna argument (that is, the argument that an inference is sound only when one infers from the effect to the cause and not vice versa), and proposes a naturalized account of reasons. On this account, careful scrutiny of the effect can provide a basis for ascertaining the unique causal totality that is its source, but only for reasoning that is context‐specific. (shrink)

ven a cursory look at the extensive literature on mindreading in nonhuman animals reveals considerable variation both in what mindreading abilities are taken to be, and in what is taken as evidence for them. Claims that seem to contradict each other are often not inconsistent with each other when examined more closely. And sometimes theorists who seem to be on the same side are actually talking at cross-purposes. The first aim of this paper is to tackle some important (...) framework questions about how exactly the mindreading hypothesis is to be stated. It emerges in sections 1 and 2 that there are three importantly different versions of the mindreading hypothesis that need to be distinguished. The first (which I call minimal mindreading) occurs when a creature’s behavior covaries with the psychological states of other participants in social exchanges. The presence of minimal mindreading is not in itself evidence for the presence of what I term substantive mindreading. Substantive mindreading involves attributions of mental states. There are different levels of substantive mindreading, varying according to the category of mental state attributions that they involve. Section 2 explores different types of substantive mindreading, according to the extent to which they involve explicitly representing the agent’s backgtround psychological profile. This gives us a principled way of distinguishing propositional attitude mindreading from perceptual mindreading. -/- It is clear that much of the reasoning behind attributions of mindreading abilities to nonlinguistic creatures is analogical in nature. We see in section 3 that much of the discussion in this area proceeds on the basis of a double analogy between animal cognition and human cognition. Researchers assume both that animals solve many problems of social coordination that are analogous to problem solved by humans and that since humans solve those problems using mindreading strategies, so too do non-human animals. How we apply the second analogy, of course, depends upon our interpretation of the particular mindreading strategies that humans employ – in particular, it depends upon the centrality of propositional attitude psychology (or folk psychology) in human social understanding and social coordination. There are good reasons for thinking that the role of propositional attitude psychology in human social life is very much over-stated. This has repercussions for how we think about substantive mindreading in nonhuman animals. It very much weakens the analogical case for identifying propositional attitude mindreading in nonlinguistic creatures. -/- Suspicion of claims of propositional attitude mindreading in non-human animals turns out to be well-founded. In section 4 I present a revised version of an argument I have given elsewhere (Bermúdez 2003) to show that the most sophisticated form of substantive mindreading (the type of mindreading that exploits the concepts of propositional attitude psychology) is only available to language-using creatures. (shrink)

It is widely held in philosophy that knowing is not a state of mind. On this view, rather than knowledge itself constituting a mental state, when we know, we occupy a belief state that exhibits some additional non-mental characteristics. Fascinatingly, however, new empirical findings from cognitive neuroscience and experimental philosophy now offer direct, converging evidence that the brain can—and often does—treat knowledge as if it is a mental state in its own right. While some might be tempted (...) to keep the metaphysics of epistemic states separate from the neurocognitive mechanics of our judgements about them, here I will argue that these empirical findings give us sufficient reason to conclude that knowledge is at least sometimes a mental state. The basis of this argument is the epistemological principle of neurocognitive parity—roughly, if the contents of a given judgement reflect the structure of knowledge, so do the neurocognitive mechanics that produced them. This principle, which I defend here, straightforwardly supports the inference from the empirical observation that the brain sometimes treats knowledge like a mental state to the epistemological conclusion that knowledge is at least sometimes a mental state. All told, the composite, belief-centric metaphysics of knowledge widely assumed in epistemology is almost certainly mistaken. (shrink)

According to the received view, philosophy of action took a justified turn towards causalism because anti-causalists failed the causalist challenge about efficacious reasons. This paper contests that view by examining the ways in which Georg Henrik von Wright responded to causalism in his later philosophy. First, von Wright attacked the subjectivism of causalism by arguing for an objectivist view that construes reasons not as subjective mental states but as external facts of the agent's situation. Second, von Wright (...) fundamentally disagreed with the view of philosophical inquiry that underpinned causalism. For von Wright, the task of philosophy was conceptual: to explicate what one is looking for when one is looking for the real reasons for action. In contrast, for causalists the task was ontological: to determine what kind of item in the world the real reason for action is. Examining von Wright's account contributes to contemporary assessments of the metaphilosophical dimension of the reasons/causes debate. (shrink)

Although the change of beliefs in the face of new information has been widely studied with some success, the revision of other mental states has received little attention from the theoretical perspective. In particular, intentions are widely recognised as being a key attitude for rational agents, and while several formal theories of intention have been proposed in the literature, the logic of intention revision has been hardly considered. There are several reasons for this: perhaps most importantly, intentions (...) are very closely connected with other mental states—in particular, beliefs about the future and the abilities of the agent. So, we cannot study them in isolation. We must consider the interplay between intention revision and the revision of other mental states, which complicates the picture considerably. In this paper, we present some first steps towards a theory of intention revision. We develop a simple model of an agent’s mental states, and define intention revision operators. Using this model, we develop a logic of intention dynamics, and then investigate some of its properties. (shrink)

The reason for characterizing mental states as propositional attitudes is sentence form: ‘S Vs that p’. However, many mental states are not ascribed by means of such sentences, and the sentences that ascribe them cannot be appropriately paraphrased. Moreover, even if a paraphrase were always available, that in itself would not establish the characterization. And the mental states that are ascribable by appropriate senses do not form any natural subset of mental states. (...) A reason for the characterization relying on beliefs, etc., about non‐existing things is also rejected. Last, some sentences ascribing abilities and dispositions have the same grammatical form as some senses that ascribe mental states, so that the attempt to paraphrase the latter would obscure the conceptual relations between the two sorts. It follows that mental states are not relations to propositions. (shrink)

If emotions provide reasons for action through their intentional content, as is often argued, where does this leave the role of the affective element of an emotion? Can it be more than a motivator and have significant bearing of its own on our emotional actions, as actions done for reasons? One way it can is through reinforcing other reasons that we might have, as Greenspan argues. Central to Greenspan’s account is the claim that the affective discomfort of an emotion, (...) as a fact about the agent’s state of being, provides an additional normative reason to act to alleviate the state. This, I argue, is not correct, nor is it the best way to understand emotions as reason-reinforcers. In this paper, I thus do two things: I provide an examination of how and why the affect of emotion could provide reasons to act to alleviate it and I propose that the real way emotions reinforce reasons is through the way they orient our attention onto things that matter, registering them as salient. (shrink)