Evolutionary theories of morality, beginning with Darwin, have focused on explanations for altruism. More generally, these accounts have concentrated on conscience to the neglect of condemnation. As a result, few theoretical tools are available for understanding the rapidly accumulating data surrounding third-party judgment and punishment. Here we consider the strategic interactions among actors, victims, and third-parties to help illuminate condemnation. We argue that basic differences between the adaptive problems faced by actors and third-parties indicate that actor conscience and third-party condemnation (...) are likely performed by different cognitive mechanisms. Further, we argue that current theories of conscience do not easily explain its experimentally demonstrated insensitivity to consequences. However, these results might be explicable if conscience functions, in part, as a defense system for avoiding third-party punishment. If conscience serves defensive functions, then its computational structure should be closely tailored to the details of condemnation mechanisms. This possibility underscores the need for a better understanding of condemnation, which is important not only in itself but also for explaining the nature of conscience. We outline three evolutionary mysteries of condemnation that require further attention: third-party judgment, moralistic punishment, and moral impartiality. (shrink)

The adequacy of currently popular accounts of the genetic basis for psychological altruism, including inclusive fitness, reciprocal altruism, sociality, and group selection, is questioned. Problems exist both with the evidence cited as supporting these accounts and with the relevance of the accounts to what is being explained. Based on the empathy-altruism hypothesis, a more plausible account is proposed: generalized parental nurturance. It is suggested that four evolutionary developments combined to provide a genetic basis for psychological altruism. First is the evolution (...) in mammals of parental nurturance. Second is the evolution in humans of the ability to see others as sentient, intentional agents and, thereby, to recognize other's needs, even subtle ones. Third is the evolution in humans of tender, empathic emotions as an important component of parental nurturance. Fourth is the evolution in humans of cognitive capacities that make it possible to generalize tender, empathic feelings and, thereby, altruism beyond offspring. (shrink)

Episodic memory gives us the ability to mentally travel back in time to revisit and relive past experiences. In recent years, there has been an increased interest in the function of episodic memory. According to the orthodox view, episodic memory should be considered a part of a constructive system that simulates the future for sophisticated foresight and flexible planning. In this paper, I offer a novel alternative view. I argue that episodic memory provides invaluable information about the past behavior of (...) others, allowing us to identify reliable and trustworthy partners while avoiding dealing with cheaters. Theoretical models demonstrate that cooperation in groups can be maintained if potential partners use information about an individual’s past behavior to guide their behavior toward that individual. In these reputation-based models of human cooperation, individuals with a history of cheating are ostracized, whereas those with a history of cooperative behavior flourish. Against this theoretical background, it is possible to see a function of episodic memory in facilitating information exchange about others, helping group members make effective partner choices, and avoiding the risk of interacting with cheaters. If correct, episodic memory may have played a significant role in the evolution of human cooperation. (shrink)

In this paper, we provide a detailed review of previous classifications of 2 × 2 games and suggest a mathematically simple way to classify the symmetric 2 × 2 games based on a decomposition of the payoff matrix into a cooperative and a zero-sum part. We argue that differences in the interaction between the parts is what makes games interesting in different ways. Our claim is supported by evolutionary computer experiments and findings in previous literature. In addition, we provide a (...) method for using a stereographic projection to create a compact 2-d representation of the game space. (shrink)

This paper addresses theoretically the question how virtual communication may affect cooperation in work teams. The degree of team virtualization, i.e. the extent to which interaction between team members occurs online, is related to parameters of the exchange. First, it is assumed that in online interaction task uncertainties are higher than in face-to-face contacts. Second, the gratifying value of peer rewards is assumed to be lower in online contacts. Thirdly, it is assumed that teams are different in the extent to (...) which members depend on their peers for positive affections, operationalized by the extent to which team members are interested in social relationships for their own sake, independently from their work interactions. Simulation results suggest both positive and negative effects of team virtualization on work-cooperation. (shrink)

In this paper we compare two micro foundations for modelling human behaviour and decision making. We focus on perfect strategic rationality on the one hand and a simple reinforcement mechanism on the other hand. Iterated prisoner’s dilemmas serve as the play ground for the comparison. The main lesson of our analysis is that in the space of all possible 2 × 2 PDs different micro foundations do matter. This suggests that researchers can not safely rely on the assumption that implementing (...) simple models of decision making will yield the same results that may be obtained when more sophisticated decision rules are built into the agents. (shrink)

Economists and biologists have proposed a distinction between two mechanisms – “strong” and “weak” reciprocity – that may explain the evolution of human sociality. Weak reciprocity theorists emphasize the benefits of long-term cooperation and the use of low-cost strategies to deter free-riders. Strong reciprocity theorists, in contrast, claim that cooperation in social dilemma games can be sustained by costly punishment mechanisms, even in one-shot and finitely repeated games. To support this claim, they have generated a large body of evidence concerning (...) the willingness of experimental subjects to punish uncooperative free-riders at a cost to themselves. In this article, I distinguish between a “narrow” and a “wide” reading of the experimental evidence. Under the narrow reading, punishment experiments are just useful devices to measure psychological propensities in controlled laboratory conditions. Under the wide reading, they replicate a mechanism that supports cooperation also in “real-world” situations outside the laboratory. I argue that the wide interpretation must be tested using a combination of laboratory data and evidence about cooperation “in the wild.” In spite of some often-repeated claims, there is no evidence that cooperation in the small egalitarian societies studied by anthropologists is enforced by means of costly punishment. Moreover, studies by economic and social historians show that social dilemmas in the wild are typically solved by institutions that coordinate punishment, reduce its cost, and extend the horizon of cooperation. The lack of field evidence for costly punishment suggests important constraints about what forms of cooperation can or cannot be sustained by means of decentralised policing. (shrink)

Conditional cooperation of selfish and rational actors is feasible in repeated encounters. We stress an important alternative for conditional cooperation: credible commitments that can be incurred via voluntary hostage posting (in the sense of pledging a bond). Hostages may facilitate cooperation in different ways. First, they reduce incentives to behave uncooperatively. Second, by offering some compensation for losses, hostages reduce the costs of suffering from uncooperative behavior of the partner. Finally, hostages may serve as signals about characteristics of the partner (...) that are related to his opportunities and incentives to behave uncooperatively. We show that signalling hostages may have lasting effects in durable relations. (shrink)

We study the Iterated Bilateral Reciprocity game in which the need for help arises randomly. Players are heterogeneous with respect to ‘neediness’ i.e. probability of needing help. We find bounds on the amount of heterogeneity which can be tolerated for cooperation (all players help when asked to help) to be sustainable in a collectivity. We introduce the notion of Generalised Reciprocity. Individuals make a costly first move to benefit another under the reasonable expectation that either the other or somebody else (...) will reciprocate. We hope that these tentative attempts at extending Axelrod’s seminal work on cooperation will inspire future efforts in the field of organisational culture and social theory more generally. (shrink)

Sufficiently frequent interaction between partners has been identified by, a.o., Axelrod as a more-or-less sufficient condition for stable cooperation. The underlying argument is that rational cooperation is ensured if short-term benefits from opportunistic behavior are offset by the long-term costs of sanctions imposed on the culprit. In this paper, we develop a model for ‘embedded trust’ in which a trustee interacts with a number of trustors who may communicate via a social network with each other about the behavior of the (...) trustor. The analysis reconfirms the standard predictions about how the level of trust depends on the payoffs and shadow of the future. We provide new predictions both on between-network effects (“which network is more favorable for cooperation?”) and on within-network effects (“in what network position can you trust more?”). (shrink)

Human cooperation is held to be an evolutionary puzzle because people voluntarily engage in costly cooperation, and costly punishment of non-cooperators, even among anonymous strangers they will never meet again. The costs of such cooperation cannot be recovered through kin-selection, reciprocal altruism, indirect reciprocity, or costly signaling. A number of recent authors label this behavior ‘strong reciprocity’, and argue that it is: (a) a newly documented aspect of human nature, (b) adaptive, and (c) evolved by group selection. We argue exactly (...) the opposite; that the phenomenon is: (a) not new, (b) maladaptive, and (c) evolved by individual selection. In our perspective, the apparent puzzle disappears to reveal a biological and evolutionary logic to human cooperation. Group selection may play a role in theory, but it is neither necessary nor sufficient to explain human cooperation. Our alternative solution is simpler, makes fewer assumptions, and is more parsimonious with the empirical data. (shrink)

These preprints were automatically compiled into a PDF from the collection of papers deposited in PhilSci-Archive in conjunction with the PSA 2018.

In grappling with the micro-macro problem in sociology, philosophers of the field are finding it increasingly useful to associate micro-sociology with theory reduction. In this article I argue that the association is ungrounded and undesirable. Although of a reductive "disposition," micro-sociological theories instantiate something more like "reductive explanation," whereby the causal roles of social wholes are explained in terms of their psychological parts. In this form, micro-sociological theories may actually have a better shot at closing the sociology–psychology explanatory gap, and (...) resist many antireductionist arguments, including the well-known argument from "multiple realization.". (shrink)

Why should moral philosophers, moral psychologists, and machine ethicists care about computational complexity? Debates on whether artificial intelligence (AI) can or should be used to solve problems in ethical domains have mainly been driven by what AI can or cannot do in terms of human capacities. In this paper, we tackle the problem from the other end by exploring what kind of moral machines are possible based on what computational systems can or cannot do. To do so, we analyze normative (...) ethics through the lens of computational complexity. First, we introduce computational complexity for the uninitiated reader and discuss how the complexity of ethical problems can be framed within Marr’s three levels of analysis. We then study a range of ethical problems based on consequentialism, deontology, and virtue ethics, with the aim of elucidating the complexity associated with the problems themselves (e.g., due to combinatorics, uncertainty, strategic dynamics), the computational methods employed (e.g., probability, logic, learning), and the available resources (e.g., time, knowledge, learning). The results indicate that most problems the normative frameworks pose lead to tractability issues in every category analyzed. Our investigation also provides several insights about the computational nature of normative ethics, including the differences between rule- and outcome-based moral strategies, and the implementation-variance with regard to moral resources. We then discuss the consequences complexity results have for the prospect of moral machines in virtue of the trade-off between optimality and efficiency. Finally, we elucidate how computational complexity can be used to inform both philosophical and cognitive-psychological research on human morality by advancing the moral tractability thesis. (shrink)

This study focuses in testing the power of reciprocity and leadership as collective action incentive structures and cooperation economic benefits in explaining collective action initiation in the context of a post-communist transition economy. The paper is based on a structured survey targeting Albanian export-oriented farmers. Different from most previous studies, this paper uses both regression analysis and machine learning procedure which is better suited for analysing non-linear relationships. The empirical findings are at odds with common sense that non-cooperation is the (...) dominant strategy, because the presence of tolerant reciprocators and leadership resources provide promising incentive structures for collective action development. KEYWORDS: Albania, collective action, collective action benefits, incentive structures, leadership, power, reciprocity. (shrink)

The dominant theory of the evolution of moral cognition across a variety of fields is that moral cognition is a biological adaptation to foster social cooperation. This chapter argues, to the contrary, that moral cognition is likely an evolutionary exaptation: a form of cognition where neurobiological capacities selected for in our evolutionary history for a variety of different reasons—many unrelated to social cooperation—were put to a new, prosocial use after the fact through individual rationality, learning, and the development and transmission (...) of social norms. This chapter begins with a brief overview of the emerging behavioral neuroscience of moral cognition. It then outlines a novel theory of moral cognition that I have previously argued explains these findings better than alternatives. Finally, it shows how the evidence for this theory of moral cognition and human evolutionary history together suggest that moral cognition is likely not a biological adaptation. Instead, like reading sheet music or riding a bicycle, moral cognition is something that individuals learn to do—in this case, in response to sociocultural norms created in our ancestral history and passed down through the ages to enable cooperative living. (shrink)

The book is addressed to all readers interested in cognitive science, and especially in research combining a logical analysis with psychological, linguistic and neurobiological approaches. The publication is the result of a collaboration between the Department of Cognitive Science at University of Lodz and the Department of Cognitive Science at Lund University. It is intended to provide a comprehensive presentation of the key research issues undertaken in both Departments, including considerations on meaning, natural language and reasoning, linguistic as well as (...) numerical competence, the theory of decision making, modelling of conceptual representations, cognitive and game theoretic approach to social interactions. (shrink)

Computational modeling should play a central role in philosophy. In this introduction to our topical collection, we propose a small topology of computational modeling in philosophy in general, and show how the various contributions to our topical collection ft into this overall picture. On this basis, we describe some of the ways in which computational models from other disciplines have found their way into philosophy, and how the principles one found here still underlie current trends in the feld. Moreover, we (...) argue that philosophers contribute to computational modeling not only by building their own models, but also by thinking about the various applications of the method in philosophy and the sciences. In this context, we note that models in philosophy are usually simple, while models in the sciences are often more complex and empirically grounded. Bridging certain methodological gaps that arise from this discrepancy may prove to be challenging and fruitful for the further development of computational modeling in philosophy and beyond. (shrink)

Pincione argues that procedural constitutional guarantees of market freedoms best protect individuals from domination. If he is right, Philip Pettit's claim that various forms of state interference with private markets are needed to forestall domination will prove to be unwarranted. Pincione further contends that market freedoms are best protected by procedural rules for political decision-making, as opposed to constitutional guarantees of private property and other substantive rules.Central to his position are claims that the dispersion of economic power precludes domination, and (...) that free entry into markets furthers such dispersion. As against the idea that the state is in a better position to disperse economic power, Pincione argues that the constitutional provisions needed to implement that idea are contestable, and to that extent require interpretive powers that themselves involve domination. Only a constitution that, as a side effect of its procedures for political decision making, generates full private property rights holds out hope of shielding citizens from domination. This is so, because a plurality of suppliers of goods and services is a structural feature of the free market, in a sense of “structural” that matters for measurements of domination based on fairly uncontroversial claims about persons and resources. (shrink)

In the Dune universe, humans relied on computers for thousands of years. Their immense capacity for mathematical calculations made space travel possible, until the Butlerian Jihad ended that era. Humans found the means to cognitively and physically enhance themselves to replace and outmatch intelligent machines by using nootropic drugs, revolutionary training methods, artificial selection, and genetic engineering. There are also moral and social problems that come along with human enhancement technologies. In a society where enhancement is popular, the poor would (...) have fewer chances to succeed in social and economic competitions. Many moral philosophers argue that our freedoms and basic rights are guaranteed by a special moral status, personhood. Nicholas Agar has proposed that post‐personhood could be seen as the end of a continuum of intelligence and reasoning abilities. The Bene Gesserit education and selective breeding program claims to be all about producing human beings who maximize the well‐being of all humankind. (shrink)

(1992). The prisoner's dilemma and educational provision: A reply to Ruth Jonathan. British Journal of Educational Studies: Vol. 40, No. 2, pp. 118-133.

(1992). The prisoner's dilemma and educational provision: A reply to Ruth Jonathan. British Journal of Educational Studies: Vol. 40, No. 2, pp. 118-133.

This chapter offers an overview of four key debates about the roles of emotion in morality. First, many believe that emotions are an important psychological mechanism for explaining altruistic behavior and moral conscience in humans. Second, there is considerable debate about the causal role of affective reactions in moral judgment. Third, some philosophers have argued that emotions have a constitutive role in moral thought and even moral facts. Finally, philosophers disagree about whether affective influence undermines the justification of moral beliefs (...) or, in suitable circumstances, guides us toward moral truth. (shrink)

Game theory is the systematic study of interdependent rational choice. It should be distinguished from decision theory, the systematic study of individual (practical and epistemic) choice in parametric contexts (i.e., where the agent is choosing or deliberating independently of other agents). Decision theory has several applications to ethics (see Dreier 2004; Mele and Rawlings 2004). Game theory may be used to explain, to predict, and to evaluate human behavior in contexts where the outcome of action depends on what several agents (...) choose to do and where their choices depend on what others choose to do. (See the entry on game theory) Game theory consequently is relevant to ethics, and it is used in moral and political philosophy in a variety of ways. We shall concentrate on the influence and use of game theory in ethics and those parts of political theory involving norms or principles of justice, ignoring questions about political and legal institutions on the one hand and questions about issues dealing with moral virtues on the other. (shrink)

Agent-based modelling has become a well-established method in social epistemology and philosophy of science but the question of what kind of explanations these models provide remains largely open. This paper is dedicated to this issue. It starts by distinguishing between real-world phenomena, real-world possibilities, and logical possibilities as different kinds of targets which agent-based models can represent. I argue that models representing the former two kinds provide how-actually explanations or causal how-possibly explanations. In contrast, models that represent logical possibilities provide (...) epistemically opaque how-possibly explanations. While highly idealised ABMs in the form in which they are initially proposed typically fall into the last category, the epistemic opaqueness of explanations they provide can be reduced by validation procedures. To this purpose, an examination of results of simulations in terms of classes of models can be particularly helpful. I illustrate this point by discussing a class of ABMs of scientific interaction and the claim that a high degree of interaction can impede scientific inquiry. (shrink)

Prioritized bases, i.e., weakly ordered sets of sentences, have been used for specifying an agent’s ‘basic’ or ‘explicit’ beliefs, or alternatively for compactly encoding an agent’s belief state without the claim that the elements of a base are in any sense basic. This paper focuses on the second interpretation and shows how a shifting of priorities in prioritized bases can be used for a simple, constructive and intuitive way of representing a large variety of methods for the change of belief (...) states—methods that have usually been characterized semantically by a system-of-spheres modeling. Among the methods represented are ‘radical’, ‘conservative’ and ‘moderate’ revision, ‘revision by comparison’ in its raising and lowering variants, as well as various constructions for belief expansion and contraction. Importantly, none of these methods makes any use of numbers. (shrink)

Este artículo está escrito para una colección de ensayos introductorios sobre filosofía de las ciencias cognitivas. Es una revisión (selectiva) de la literatura sobre la psicología del juicio moral.

Whether collective agency is a coherent concept depends on the theory of agency that we choose to adopt. We argue that the enactive theory of agency developed by Barandiaran, Di Paolo and Rohde (2009) provides a principled way of grounding agency in biological organisms. However the importance of biological embodiment for the enactive approach might lead one to be skeptical as to whether artificial systems or collectives of individuals could instantiate genuine agency. To explore this issue we contrast the concept (...) of collective agency with multi-agent systems and multi-system agents, and argue that genuinely collective agents instantiate agency at both the collective level and at the level of the component parts. Developing the enactive model, we propose understanding agency – both at the level of the individual and of the collective – as spectra that are constituted by dimensions that vary across time. Finally, we consider whether collectives that are not merely metaphorically ‘agents’ but rather are genuinely agentive also instantiate subjectivity at the collective level. We propose that investigations using the perceptual crossing paradigm suggest that a shared lived perspective can indeed emerge but this should not be conflated with a collective first-person perspective, for which material integration in a living body may be required. (shrink)

In the methodology of scientific research programs (MSRP) there are important features on the problem of prediction, especially regarding novel facts. In his approach, Imre Lakatos proposed three different levels on prediction: aim, process, and assessment. Chapter 5 pays attention to the characterization of prediction in the methodology of research programs. Thus, it takes into account several features: (1) its pragmatic characterization, (2) the logical perspective as a proposition, (3) the epistemological component, (4) its role in the appraisal of research (...) programs, and (5) its place as a value for scientific research. -/- The notion of “novel facts” is highly relevant in his conception, where several aspects are involved: the directions of novel facts, the different kinds of novelty, and the transition from six possible options of “novel facts” to four choices. Thereafter, the prediction of novel facts as the criterion of appraisal is considered. On the one hand, this requires analyzing the theoretical, empirical, and heuristic possibilities of appraisal; and, on the other, whether there is an overemphasis on the role of prediction in methodology of scientific research programs. As a consequence, there is an analysis of Lakatos’ criterion of appraisal in MSRP and economics. (shrink)

Unlike any other field, the science of morality has drawn attention from an extraordinarily diverse set of disciplines. An interdisciplinary research program has formed in which economists, biologists, neuroscientists, psychologists, and even philosophers have been eager to provide answers to puzzling questions raised by the existence of human morality. Models and simulations, for a variety of reasons, have played various important roles in this endeavor. Their use, however, has sometimes been deemed as useless, trivial and inadequate. The role of models (...) in the science of morality has been vastly underappreciated. This omission shall be remedied here, offering a much more positive picture on the contributions modelers made to our understanding of morality. (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)

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)

An evolutionary approach to ethics supports, to some extent, the sceptical meta-ethics found by some of the Greek sophists and Nietzsche. On the other hand, a modern naturalistic account on the origin and nature of morality, leads to somewhat different conclusions. This is demonstrated with an answer to three philosophical questions: does real freedom exist?, does the good, or real virtue, exist?, does life have a meaning?

The paper gives an overview of primate research and the economic-ethical 'lessons' we can derive from it. In particular, it examines the complex, multi-faceted and partially conflicting nature of (non-) human primates. Our closest living relatives, the chimpanzees and bonobos, apparently walk on two legs: a selfish and a groupish leg. Given evolutionary continuity and gradualism between monkeys, apes and humans, human primates seem to be bipolar apes as well. They, too, tend to display a dual structure: there seems to (...) be a pro-social and a self-interested side to our species and a bipolar tension seems to exist between competition and cooperation respectively between self-interest and the common good. We are apparently at the same time Homines oeconomici and Homines culturali. Our inner ape tries to combine self-interested and common good motives. Based on de Waal's Russian doll model, the essay investigates the evolutionary origins of morality and 'eusociality'. With the help of selected case studies stemming from behavioural sciences/economics, the paper illustrates examples of empathy, altruism, reciprocal fairness, pro-social and other-regarding preferences, inequity aversion and altruistic punishment in (non-)human primates. Beside this selfless and groupish side, the paper also reflects on the self-interest and egoistic nature of (non-)human primates and the behavioural and cognitive differences between monkeys, apes and humans. (shrink)

Dominance hierarchies are ubiquitous in the societies of human and non-human animals. Evidence from comparative, developmental, and cognitive psychological investigations is presented that show how social dominance hierarchies shaped the evolution of the human mind, and hence, human social institutions. It is argued that the pressures that arise from living in hierarchical social groups laid a foundation of fundamental concepts and cognitive strategies that are crucial to surviving in social dominance hierarchies. These include recognizing and reasoning transitively about dominance relations, (...) fast-track learning of social norms (permissions, prohibitions, and obligations), detecting violations of social norms (cheating), monitoring reciprocal obligations, and reading the intentions of others. (shrink)

Rules regulating social behavior raise challenging questions about cultural evolution in part because they frequently confer group-level benefits. Current multilevel selection theories contend that between-group processes interact with within-group processes to produce norms and institutions, but within-group processes have remained underspecified, leading to a recent emphasis on cultural group selection as the primary driver of cultural design. Here we present the self-interested enforcement (SIE) hypothesis, which proposes that the design of rules importantly reflects the relative enforcement capacities of competing parties. (...) We show that, in addition to explaining patterns in cultural change and stability, SIE can account for the emergence of much group-functional culture. We outline how this process can stifle or accelerate cultural group selection, depending on various social conditions. Self-interested enforcement has important bearings on the emergence, stability, and change of rules. (shrink)

Contemporary epistemological and cognitive studies, as well as recent trends in computer science and game theory have revealed an increasingly important and intimate relationship between Information, Interaction, and Agency. Agents perform actions based on the available information and in the presence of other interacting agents. From this perspective Information, Interaction, and Agency neatly ties together classical themes like rationality, decision-making and belief revision with games, strategies and learning in a multi-agent setting. Unified by the central notions Information, Interaction, and Agency, (...) the essays in this volume provide refreshing methodological perspectives on belief revision, dynamic epistemic logic, von Neumann games, and evolutionary game theory; all of which in turn are central approaches to understanding our own rationality and that of other agents. (shrink)

This book is a defence of the philosophy of common sense in the spirit of Thomas Reid and G.E. Moore, drawing on the work of Aristotle, evolutionary biology and psychology, and historical studies on the origins of early modern philosophy. It defines and explores common sense beliefs, and defends them from challenges from prominent philosophers.

This book offers an overview of the ethical problems posed by Information Warfare, and of the different approaches and methods used to solve them, in order to provide the reader with a better grasp of the ethical conundrums posed by this new form of warfare. -/- The volume is divided into three parts, each comprising four chapters. The first part focuses on issues pertaining to the concept of Information Warfare and the clarifications that need to be made in order to (...) address its ethical implications. The second part collects contributions focusing on Just War Theory and its application to the case of Information Warfare. The third part adopts alternative approaches to Just War Theory for analysing the ethical implications of this phenomenon. Finally, an afterword by Neelie Kroes - Vice President of the European Commission and European Digital Agenda Commissioner - concludes the volume. Her contribution describes the interests and commitments of the European Digital Agenda with respect to research for the development and deployment of robots in various circumstances, including warfare. (shrink)

Esta enciclopédia abrange, de uma forma introdutória mas desejavelmente rigorosa, uma diversidade de conceitos, temas, problemas, argumentos e teorias localizados numa área relativamente recente de estudos, os quais tem sido habitual qualificar como «estudos lógico-filosóficos». De uma forma apropriadamente genérica, e apesar de o território teórico abrangido ser extenso e de contornos por vezes difusos, podemos dizer que na área se investiga um conjunto de questões fundamentais acerca da natureza da linguagem, da mente, da cognição e do raciocínio humanos, bem (...) como questões acerca das conexões destes com a realidade não mental e extralinguística. A razão daquela qualificação é a seguinte: por um lado, a investigação em questão é qualificada como filosófica em virtude do elevado grau de generalidade e abstracção das questões examinadas (entre outras coisas); por outro, a investigação é qualificada como lógica em virtude de ser uma investigação logicamente disciplinada, no sentido de nela se fazer um uso intenso de conceitos, técnicas e métodos provenientes da disciplina de lógica. O agregado de tópicos que constitui a área de estudos lógico-filosóficos é já visível, pelo menos em parte, no Tractatus Logico-Philosophicus de Ludwig Wittgenstein, uma obra publicada em 1921. E uma boa maneira de ter uma ideia sinóptica do território disciplinar abrangido por esta enciclopédia, ou pelo menos de uma porção substancial dele, é extrair do Tractatus uma lista dos tópicos mais salientes aí discutidos; a lista incluirá certamente tópicos do seguinte género, muitos dos quais se podem encontrar ao longo desta enciclopédia: factos e estados de coisas; objectos; representação; crenças e estados mentais; pensamentos; a proposição; nomes próprios; valores de verdade e bivalência; quantificação; funções de verdade; verdade lógica; identidade; tautologia; o raciocínio matemático; a natureza da inferência; o cepticismo e o solipsismo; a indução; as constantes lógicas; a negação; a forma lógica; as leis da ciência; o número. (shrink)