People are minded creatures; we have thoughts, feelings and emotions. More intriguingly, we grasp our own mental states, and conduct the business of ascribing them to ourselves and others without instruction in formal psychology. How do we do this? And what are the dimensions of our grasp of the mental realm? In this book, Alvin I. Goldman explores these questions with the tools of philosophy, developmental psychology, social psychology and cognitive neuroscience. He refines an approach called simulation theory, which starts (...) from the familiar idea that we understand others by putting ourselves in their mental shoes. Can this intuitive idea be rendered precise in a philosophically respectable manner, without allowing simulation to collapse into theorizing? Given a suitable definition, do empirical results support the notion that minds literally create surrogates of other peoples mental states in the process of mindreading? Goldman amasses a surprising array of evidence from psychology and neuroscience that supports this hypothesis. (shrink)

People are minded creatures; we have thoughts, feelings and emotions. More intriguingly, we grasp our own mental states, and conduct the business of ascribing them to ourselves and others without instruction in formal psychology. How do we do this? And what are the dimensions of our grasp of the mental realm? In this book, Alvin I. Goldman explores these questions with the tools of philosophy, developmental psychology, social psychology and cognitive neuroscience. He refines an approach called simulation theory, which starts (...) from the familiar idea that we understand others by putting ourselves in their mental shoes. Can this intuitive idea be rendered precise in a philosophically respectable manner, without allowing simulation to collapse into theorizing? Given a suitable definition, do empirical results support the notion that minds literally create surrogates of other peoples mental states in the process of mindreading? Goldman amasses a surprising array of evidence from psychology and neuroscience that supports this hypothesis. (shrink)

Encouraging people to consider multiple alternatives appears to be a useful debiasing technique for reducing many biases (explanation, hindsight, and overconfidence), if the generation of alternatives is experienced as easy. The present research tests whether these alternative generation procedures induce a mental simulation mind-set (cf. Galinsky & Moskowitz, 2000), such that debiasing in one domain transfers to debias judgments in unrelated domains. The results indeed demonstrated that easy alternative generation tasks not only debiased judgments in the same domain but also (...) generalized to debias judgments in unrelated domains, provided that participants were low in the need for structure. The alternative generation tasks (even when they were easy to perform) showed no evidence of activating a mental simulation mind-set in individuals high in need for structure, as these individuals displayed no transfer effects. Implications of the results for understanding the role of the need for structure, ease of generation, and mental simulation mind-set activation for debiasing are discussed. (shrink)

In the second half of the twentieth-century, the traditional problem of other minds was re-focused on special problems with propositional attitudes and how we attribute them to others. How do ordinary people, with no education in scientific psychology, understand and ascribe such complex, unobservable states? In different terminology, how do they go about "interpreting" their peers?

Many philosophers and psychologists argue that out everyday ability to predict and explain the actions and mental states of others is grounded in out possession of a primitive 'folk' psychological theory. Recently however, this theory has come under challenge from the simulation alternative. This alternative view says that human beings are able to predict and explain each other's actions by using the resources of their own minds to simulate the psychological aetiology of the actions of the others. This book (...) and the companion volume Folk Psychology: The Theory of Mind Debate together offer a richly woven fabric of philosophical and psychological theory, which promises to yield real insights into the nature of our mental lives. (shrink)

Alvin I. Goldman, Simulating Minds: The Philosophy, Psychology and Neuroscience of Mindreading Content Type Journal Article Pages 279-282 DOI 10.1007/s11023-009-9142-x Authors Susan Stuart, University of Glasgow Humanities Advanced Technology and Information Institute 11 University Gardens Glasgow G12 8QQ Scotland, UK Journal Minds and Machines Online ISSN 1572-8641 Print ISSN 0924-6495 Journal Volume Volume 19 Journal Issue Volume 19, Number 2.

There is much disagreement about how extensive a role theoretical mind-reading, behavior-reading, and simulation each have and need to have in our knowing and understanding other minds, and how each method is implemented in the brain, but less discussion of the epistemological question what it is about the products of these methods that makes them count as knowledge or understanding. This question has become especially salient recently as some have the intuition that mirror neurons can bring understanding of another's (...) action despite involving no higher-order processing, whereas most epistemologists writing about understanding think that it requires reflective access to one's grounds, which is closer to the intuitions of other commenters on mirror neurons. I offer a definition of what it is that makes something understanding that is compelling independently of the context of cognition of other minds, and use it to show two things: 1) that theoretical mind-reading and simulation bring understanding in virtue of the same epistemic feature, and 2) why the kind of motor representation without propositional attitudes that is done by mirror neurons is sufficient for action understanding. I further suggest that more attention should be paid to the potential disadvantages of a simulative method of knowing. Though it can be more efficient in some cases, it can also bring vulnerability, wear and tear on one's personal equipment, and unintended mimicry. (shrink)

The mechanism by which humans perceive others differs greatly from how humans perceive inanimate objects. Unlike inanimate objects, humans have the distinct property of being “like me” in the eyes of the observer. This allows us to use the same systems that process knowledge about self-performed actions, self-conceived thoughts, and self-experienced emotions to understand actions, thoughts, and emotions in others. The authors propose that internal simulation mechanisms, such as the mirror neuron system, are necessary for normal development of recognition, imitation, (...) theory of mind, empathy, and language. Additionally, the authors suggest that dysfunctional simulation mechanisms may underlie the social and communicative deficits seen in individuals with autism spectrum disorders. (shrink)

What is it to be capable of thoughts about an objective world? What is involved in the unity of consciousness? How is the ability to attribute attitudes to other persons to be understood? The three symposia in this volume develop new approaches to these central questions in the philosophy of mind. The contributors include leading philosophers of the middle and younger generation working in Britain. All the issues discussed have an interdisciplinary dimension, and each symposium contains a contribution from a (...) noted psychologist working in the same field. The volume will be of interest not only to philosophers of mind, but also to those concerned with metaphysics, epistemology, developmental pscychology, animal psychology, and the nature of consciousness. (shrink)

The aim of this paper is to grasp the relevant distinctions between various ways in which models and simulations in Artificial Intelligence (AI) relate to cognitive phenomena. In order to get a systematic picture, a taxonomy is developed that is based on the coordinates of formal versus material analogies and theory-guided versus pre-theoretic models in science. These distinctions have parallels in the computational versus mimetic aspects and in analytic versus exploratory types of computer simulation. The proposed taxonomy cuts across the (...) traditional dichotomies between symbolic and embodied AI, general intelligence and symbol and intelligence and cognitive simulation and human/non-human-like AI. -/- According to the taxonomy proposed here, one can distinguish between four distinct general approaches that figured prominently in early and classical AI, and that have partly developed into distinct research programs: first, phenomenal simulations (e.g., Turing’s “imitation game”); second, simulations that explore general-level formal isomorphisms in pursuit of a general theory of intelligence (e.g., logic-based AI); third, simulations as exploratory material models that serve to develop theoretical accounts of cognitive processes (e.g., Marr’s stages of visual processing and classical connectionism); and fourth, simulations as strictly formal models of a theory of computation that postulates cognitive processes to be isomorphic with computational processes (strong symbolic AI). -/- In continuation of pragmatic views of the modes of modeling and simulating world affairs, this taxonomy of approaches to modeling in AI helps to elucidate how available computational concepts and simulational resources contribute to the modes of representation and theory development in AI research—and what made that research program uniquely dependent on them. (shrink)

A new class of visuomotor neuron has been recently discovered in the monkey’s premotor cortex: mirror neurons. These neurons respond both when a particular action is performed by the recorded monkey and when the same action, performed by another individual, is observed. Mirror neurons appear to form a cortical system matching observation and execution of goal-related motor actions. Experimental evidence suggests that a similar matching system also exists in humans. What might be the functional role of this matching system? One (...) possible function is to enable an organism to detect certain mental states of observed conspecifics. This function might be part of, or a precursor to, a more general mind-reading ability. Two different accounts of mind-reading have been suggested. According to “theory theory‘, mental states are represented as inferred posits of a naive theory. According to “simulation theory‘, other people’s mental states are represented by adopting their perspective: by tracking or matching their states with resonant states of one’s own. The activity of mirror neurons, and the fact that observers undergo motor facilitation in the same muscular groups as those utilized by target agents, are findings that accord well with simulation theory but would not be predicted by theory theory. (shrink)

It has been proposed that the design of robots might benefit from interactions that are similar to caregiver-child interactions, which is tailored to children's respective capacities to a high degree. However, so far little is known about how people adapt their tutoring behaviour to robots and whether robots can evoke input that is similar to child-directed interaction. The paper presents detailed analyses of speakers' linguistic behaviour and non-linguistic behaviour, such as action demonstration, in two comparable situations: In one experiment, parents (...) described and explained to their nonverbal infants the use of certain everyday objects; in the other experiment, participants tutored a simulated robot on the same objects. The results, which show considerable differences between the two situations on almost all measures, are discussed in the light of the computer-as-social-actor paradigm and the register hypothesis. Keywords: child-directed speech (CDS); motherese; robotese; motionese; register theory; social communication; human-robot interaction (HRI); computers-as-social-actors; mindless transfer. (shrink)

It has been proposed that the design of robots might benefit from interactions that are similar to caregiver–child interactions, which is tailored to children’s respective capacities to a high degree. However, so far little is known about how people adapt their tutoring behaviour to robots and whether robots can evoke input that is similar to child-directed interaction. The paper presents detailed analyses of speakers’ linguistic behaviour and non-linguistic behaviour, such as action demonstration, in two comparable situations: In one experiment, parents (...) described and explained to their nonverbal infants the use of certain everyday objects; in the other experiment, participants tutored a simulated robot on the same objects. The results, which show considerable differences between the two situations on almost all measures, are discussed in the light of the computer-as-social-actor paradigm and the register hypothesis. Keywords: child-directed speech ; motherese; robotese; motionese; register theory; social communication; human–robot interaction ; computers-as-social-actors; mindless transfer. (shrink)

Theory of mind explanations of how we know other minds are limited in several ways. First, they construe intersubjective relations too narrowly in terms of the specialized cognitive abilities of explaining and predicting another person's mental states and behaviors. Second, they sometimes draw conclusions about secondperson interaction from experiments designed to test third-person observation of another's behavior. As a result, the larger claims that are sometimes made for theory of mind, namely, that theory of mind is our primary and (...) pervasive means for understanding other persons, go beyond both the phenomenological and the scientific evidence. I argue that the interpretation of "primary intersubjectivity" as merely precursory to theory of mind is inadequate. Rather, primary intersubjectivity, understood as a set of embodied practices and capabilities, is not only primary in a developmental sense, but is the primary way we continue to understand others in second-person interactions. (shrink)

Notes on Contributors • Preface • Christopher Peacocke, Introduction: The Issues and their Further Development I OBJECTIVE THOUGHT • John Campbell, Objects and Objectivity Commentaries • Bill Brewer, Thoughts about Objects, Places and Times • John O'Keefe, Cognitive Maps, Time and Causality II OBJECTIVITY AND THE UNITY OF CONSCIOUSNESS • Susan Hurley, Unity and Objectivity Commentaries • Anthony Marcel, What is Relevant to the Unity of Consciousness? • Michael Lockwood, Issues of Unity and Objectivity III UNDERSTANDING THE MENTAL:THEORY OR SIMULATION (...) • MARTIN DAVIES, The Mental Simulation Debate Commentaries • Jane Heal, Simulation vs. Theory Theory: What is at Issue? • Josef Perner, The Necessity and Impossibility of Simulation. (shrink)

-/- The aim of this paper is to grasp the relevant distinctions between various ways in which models and simulations in Artificial Intelligence (AI) relate to cognitive phenomena. In order to get a systematic picture, a taxonomy is developed that is based on the coordinates of formal versus material analogies and theory-guided versus pre-theoretic models in science. These distinctions have parallels in the computational versus mimetic aspects and in analytic versus exploratory types of computer simulation. The proposed taxonomy cuts across (...) the traditional dichotomies between symbolic and embodied AI, general intelligence and symbol and intelligence and cognitive simulation and human/non-human-like AI. -/- According to the taxonomy proposed here, one can distinguish between four distinct general approaches that figured prominently in early and classical AI, and that have partly developed into distinct research programs: first, phenomenal simulations (e.g., Turing’s “imitation game”); second, simulations that explore general-level formal isomorphisms in pursuit of a general theory of intelligence (e.g., logic-based AI); third, simulations as exploratory material models that serve to develop theoretical accounts of cognitive processes (e.g., Marr’s stages of visual processing and classical connectionism); and fourth, simulations as strictly formal models of a theory of computation that postulates cognitive processes to be isomorphic with computational processes (strong symbolic AI). -/- In continuation of pragmatic views of the modes of modeling and simulating world affairs, this taxonomy of approaches to modeling in AI helps to elucidate how available computational concepts and simulational resources contribute to the modes of representation and theory development in AI research—and what made that research program uniquely dependent on them. (shrink)

Three experiments investigating children's understanding of inference as a source of knowledge and beliefs were used to determine whether children use a theory in understanding the mind. A child watched while a sweet was placed in a box whereas a doll was merely given a message about which sweet had been transferred. Children were asked to judge whether the doll knew the colour of the sweet in the box and what colour the do6 would think the sweet was. The main (...) finding was that children tended to say the doll would hold a false belief about the colour of the sweet whenever the doll had not looked in the box. This result is easily reconciled with the theory view as a drive for coherence within the different aspects (knowledge and belier predictions) of the child's theory of mind. The result is contrary to the simulation view because children were generally good at‘inputting’or taking account of the relevant information (i.e. the doll's knowledge of the sweets’colours and the message to the doll), because children assessed their own beliefs quite differently from the doll's beliefs, and because contrary to the default assumptions set out by Harris (1991) children found it easier to assign a false belief to the doll than to assign a true belief. (shrink)

Historically, the philosophy of language has held pride of place in the analytical tradition. In fact, it would be safe to say that for a long time it had been unquestioningly regarded as first philosophy. The reason for this is twofold. Firstly, many analytical philosophers held (and many still hold) that we could only get at the underlying nature of our world by understanding the nature of thought. And secondly, they held (and many still hold) that we could only understand (...) the nature of thought by "an analysis of its linguistic expression" (Dummett, 1993, p. 154). Dummett recently goes so far as to tells us that the latter assumption is the fundamental axiom of analytical philosophy. (shrink)

What exactly do we do when we try to make sense of other people e.g. by ascribing mental states like beliefs and desires to them? After a short criticism of Theory-Theory, Interaction Theory and the Narrative Theory of understanding others as well as an extended criticism of the Simulation Theory in Goldman's recent version (2006), we suggest an alternative approach: the Person Model Theory . Person models are the basis for our ability to register and evaluate persons having mental as (...) well as physical properties. We argue that there are two kinds of person models, nonconceptual person schemata and conceptual person images , and both types of models can be developed for individuals as well as for groups. (shrink)

This commentary discusses Oatley's proposal that literary works considered as simulations that run on minds can fulfill similar epistemic functions as computer simulations of mental processes. Whereas in computer simulation, both the input data and the computations to be performed on these data are explicit, only the input is explicitly known in the case of mental simulation. For this reason, literary simulations cannot play exactly the same epistemic role as computer simulations. Still, literary simulations can provide knowledge (e.g., about (...) the phenomenal quality of emotions or about possible emotional dynamics) that is relevant for emotion science: it adds to the corpus of facts about emotions that need to be explained, and it may suggest hypotheses about the constitution of the mechanisms that generate emotions. In addition, the hypotheses suggested by a literary simulation can be tested in new mental simulations. However, at least for the purpose of hypothesis testing, the simulation of a multiplicity of experimentally manipulated scenarios should be more revealing than that of a single literary work describing only one possible course of events. (shrink)

Computer simulations can be useful tools to support philosophers in validating their theories, especially when these theories concern phenomena showing nontrivial dynamics. Such theories are usually informal, whilst for computer simulation a formally described model is needed. In this paper, a methodology is proposed to gradually formalise philosophical theories in terms of logically formalised dynamic properties. One outcome of this process is an executable logic-based temporal specification, which within a dedicated software environment can be used as a simulation model to (...) perform simulations. This specification provides a logical formalisation at the lowest aggregation level of the basic mechanisms underlying a process. In addition, dynamic properties at a higher aggregation level that may emerge from the mechanisms specified by the lower level properties, can be specified. Software tools are available to support specification, and to automatically check such higher level properties against the lower level properties and against generated simulation traces. As an illustration, three case studies are discussed showing successful applications of the approach to formalise and analyse, among others, Clark’s theory on extended mind, Damasio’s theory on core consciousness, and Dennett’s perspective on intertemporal decision making and altruism. (shrink)

An argument is developed that supports a simulationist account about the foundations of infants' and young children's understanding that other people have mental states. This argument relies on evidence that infants come to the world with capacities to send and receive affective cues and to appreciate the emotional states of others – capacities well suited to a social environment initially made up of frequent and extended emotional interactions with their caregivers. The central premise of the argument is that the foundation (...) of infants' understanding of other minds is built upon an early-developing capacity to share others' emotion experiences. The emotion experiences elicited in interactions between caregivers and infants enable the elaboration of this primitive understanding into a more fully developed understanding of psychological subjects. The evidence presented in support of these claims derives from a wide range of studies of the phenomena of emotional contagion, affective communication, and emotion regulation involving infants, young children, and adults. (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)

This book proposes a series of interconnected arguments against the view that interpersonal understanding involves the use of a 'folk' or 'commonsense' psychology. Ratcliffe suggests that folk psychology, construed as the attribution of internal mental states in order to predict and explain behaviour, is a theoretically motivated and misleading abstraction from social life. He draws on phenomenology, neuroscience and developmental psychology to offer an alternative account that emphasizes patterned interactions between people in shared social situations.