Applying the concept of social agent in the field of criminology and of penal law is aimed at advancing criminological research and analyzing the operations of penal justice from a perspective other than those generally in use. This, summarized in a very few words, is our principal objective.

Social robots serve people as tutors, caretakers, receptionists, companions, and other social agents. People know that the robots are mechanical artifacts, yet they interact with them as if they were actual agents. How is this possible? The proposal here is that people construe social robots not as social agents per se, but as depictions of social agents. They interpret them much as they interpret ventriloquist dummies, hand puppets, virtual assistants, and other (...) interactive depictions of people and animals. Depictions as a class consist of three physical scenes with part-by-part mappings between them: (a) a base scene (the raw physical artifact), (b) the depiction proper (the artifact construed as a depiction), and (c) the scene depicted (the scene people are to imagine). With social robots, evidence shows people form the same three scenes plus mappings: They perceive the raw machinery of a robot, construe it as a depiction of a character, and, using the depiction as a guide, engage in the pretense that they are interacting with the character depicted. With social robots, people also recognize three classes of agents – the characters depicted, the intended recipients of the depictions (those who view or interact with the robots), and the authorities responsible for the robots (the designers, makers, and owners). Construing social robots as depictions, we argue, accounts for many phenomena not covered by alternative models. (shrink)

Artificial Social Agents (ASAs), which are AI software driven entities programmed with rules and preferences to act autonomously and socially with humans, are increasingly playing roles in society. As their sophistication grows, humans will share greater amounts of personal information, thoughts, and feelings with ASAs, which has significant ethical implications. We conducted a study to investigate what ethical principles are of relative importance when people engage with ASAs and whether there is a relationship between people’s values and the (...) ethical principles they prioritise. The study uses scenarios, embedded with the five AI4People ethical principles (Beneficence, Non-maleficence, Autonomy, Justice, and Explicability), involving ASAs taking on roles traditionally played by humans to understand whether these roles and behaviours (including dialogues) are seen as acceptable or unacceptable. Results from 268 participants reveal the greatest sensitivity to ASA behaviours that relate to Autonomy, Justice, Explicability, and the privacy of their personal data. Models were created using Schwartz’s Refined Values as a possible indicator of how stakeholders discern and prioritise the different AI4People ethical principles when interacting with ASAs. Our findings raise issues around the ethical acceptability of ASAs for nudging and changing behaviour due to participants’ desire for autonomy and their concerns over deceptive ASA behaviours such as pretending to have memories and emotions. (shrink)

We take up issues raised in the commentaries about our proposal that social robots are depictions of social agents. Among these issues are the realism of social agents, experiencing robots, communicating with robots, anthropomorphism, and attributing traits to robots. We end with comments about the future of social robots.

In this paper I will discuss a certain philosophical and conceptual program -- that I have called philosophy of social action writ large -- and also show in detail how parts of the program have been, and is currently being carried out. In current philosophical research the philosophy of social action can be understood in a broad sense to encompass such central research topics as action occurring in a social context (this includes multi-agent action); shared we-attitudes (such (...) as we-intention, mutual belief) and other social attitudes expressing collective intentionality and needed for the explication and explanation of social action; social macro-notions, such as actions performed by social groups and properties of social groups such as their goals and beliefs; social practices, and institutions (see e.g. Tuomela, 1995, 2000a, 2001). The theory of social action understood analogously in a broad sense would then involve not only philosophical but all other relevant theorizing about social action. Thus, in this sense, such fields of Artificial Intelligence (AI) as Distributed AI (DAI) and the theory of Multi-Agent Systems (MAS) fall within the scope of the theory of social action. DAI studies the social side of computer systems and includes various well-known areas ranging from human-computer interaction, computer-supported cooperative work, organizational processing, and distributed problem solving to the simulation of social systems. (shrink)

To explain agent-identification behaviours, universalist theories in the biological and cognitive sciences have posited mental mechanisms thought to be universal to all humans, such as agent detection and face recognition mechanisms. These universalist theories have paid little attention to how particular sociocultural or historical contexts interact with the psychobiological processes of agent-identification. In contrast to universalist theories, contextualist theories appeal to particular historical and sociocultural contexts for explaining agent-identification. Contextualist theories tend to adopt idiographic methods aimed at recording the heterogeneity (...) of human behaviours across history, space, and cultures. Defenders of the universalist approach tend to criticise idiographic methods because such methods can lead to relativism or may lack generality. To overcome explanatory limitations of proposals that adopt either universalist or contextualist approaches in isolation, I propose a philosophical model that integrates contributions from both traditions: the psycho-historical theory of agent-identification. This theory investigates how the tracking processes that humans use for identifying agents interact with the unique socio-historical contexts that support agent-identification practices. In integrating hypotheses about the history of agents with psychological and epistemological principles regarding agent-identification, the theory can generate novel hypotheses regarding the distinction between recognition-based, heuristic-based, and explanation-based agent-identification. (shrink)

Clark and Fischer argue that people see social robots as depictions of social agents. However, people's interactions with virtual assistants may change their beliefs about social robots. Children and adults with exposure to virtual assistants may view social robots not as depictions of social agents, but as social agents belonging to a unique ontological category.

When people interact with social robots, they treat them as real social agents. How people depict robots is fun to consider, but when people are confronted with embodied entities that move and talk – whether humans or robots – they interact with them as authentic social agents with minds, and not as mere representations.

Following the depiction theory by Clark and Fischer we would expect people interacting with robots to experience fictional emotions akin to those toward films or novels. However, some people's emotional reactions toward robots display the motivational force typical to non-fictional emotions. We discuss this incongruity and offer two suggestions on how to explain it while maintaining the depiction theory.

This study provides a basic introduction to agent-based modeling (ABM) as a powerful blend of classical and constructive mathematics, with a primary focus on its applicability for social science research. The typical goals of ABM social science researchers are discussed along with the culture-dish nature of their computer experiments. The applicability of ABM for science more generally is also considered, with special attention to physics. Finally, two distinct types of ABM applications are summarized in order to illustrate concretely (...) the duality of ABM: Real-world systems can not only be simulated with verisimilitude using ABM; they can also be efficiently and robustly designed and constructed on the basis of ABM principles. (shrink)

This volume presents a systematic philosophical theory related to the collectivism-versus-individualism debate in the social sciences. A weak version of collectivism (the "we-mode" approach) that depends on group-based collective intentionality is developed in the book. The we-mode approach is used to account for collective intention and action, cooperation, group attitudes, social practices and institutions as well as group solidarity.

Evolutionary theorists often talk as if natural selection were choosing the most adapted traits, or if organisms were deciding to do the most adaptive strategy. Moreover, the payoff of those decisions often depend on what others are doing, and since Hamilton (1964), biologists possess conceptual tools such as kin selection and inclusive fitness to make sense of outcomes of evolution in these contexts, even when they seem unadaptive (such as sterility). The link between selection and adaptation through which selection or (...) organisms can be seen as agents, as well as the scope and nature of Hamiltonian conceptions of social evolution, stimulated many formal elaborations (such as, initially, Fisher’s “Fundamental theorem of natural selection”), but also raise major philosophical issues about causation and statistics, and about rationality and adaptation or selection. Two recent philosophy books, Okasha’s Agents and goals in evolution, and Birch’s Philosophy of social evolution, tackle those question. This essay reflects on them in order to think of those two issues. After having reviewed the books, I try to sketch some philosophical lessons onto which they concur. (shrink)

Agent-regret seems to give rise to a philosophical puzzle. If we grant that we are not morally responsible for consequences outside our control (the ‘Standard View’), then agent-regret—which involves self-reproach and a desire to make amends for consequences outside one’s control—appears rationally indefensible. But despite its apparent indefensibility, agent-regret still seems like a reasonable response to bad moral luck. I argue here that the puzzle can be resolved if we appreciate the role that agent-regret plays in a larger social (...) practice that helps us deal with bad moral luck. That agent-regret is a component in a social practice limits the questions that we can reasonably ask about it. While we can ask whether an experience of agent-regret is rational given the norms of this practice, we cannot ask the question that motivates the puzzle of agent-regret, viz. whether agent-regret is rationally defensible according to the Standard View. (shrink)

Despite considerable debate as to what corporate social responsibility is, consumer social responsibility, as an important force for CSR :19–45, 2005), is a term that remains largely unexplored and under-theorized. To better conceive the role consumers play in activating CSR, this paper provides a multi-level, multi-agent conceptualization of CnSR. Integrating needs-based models of decision making with justice theory, the article interpretively develops the reasons why variously positioned agents leverage consumers as a force for corporate social responsibility. (...) The paper theoretically expands currently limited conceptions of CnSR by exploring the levels at which diverse agents engage with CnSR and the needs driving these agents. The paper suggests that the so-called “consumer side of CSR” is contingent upon the presence, absence, and varying intensities of underlying agent needs. Academic and managerial implications are drawn in the paper’s conclusion. (shrink)

The aim of this paper is to present a philosophically inspired list of minimal requirements for social agency that may serve as a guideline for social robotics. Such a list does not aim at detailing the cognitive processes behind sociality but at providing an implementation-free characterization of the capacities and skills associated with sociality. We employ the notion of intentional stance as a methodological ground to study intentional agency and extend it into a social stance that takes (...) into account social features of behavior. We discuss the basic requirements of sociality and different ways to understand them, and suggest some potential benefits of understanding them in an instrumentalist way in the context of social robotics. (shrink)

Standard notions in philosophy of mind have a tendency to characterize socio-cognitive abilities as if they were unique to sophisticated human beings. However, assuming that it is likely that we are soon going to share a large part of our social lives with various kinds of artificial agents, it is important to develop a conceptual framework providing notions that are able to account for various types of social agents. Recent minimal approaches to socio-cognitive abilities such as (...) mindreading and commitment present a promising starting point from which one can expand the field of application not only to infants and non-human animals but also to artificial agents. Developing a minimal approach to the socio-cognitive ability of acting jointly, I present a foundation for future discussions about the question of how our conception of sociality can be expanded to artificial agents. (shrink)

This book argues that this powerful technique permits the social sciences to meet an explanation, in which one 'grows' the phenomenon of interest in an artificial society of interacting agents: heterogeneous, boundedly rational actors.

The paper presents a novel view of social norms that reflects the importance of different agent types, their specific motivations and roles. How one identifies with a role and behavioral options available to the agent is crucial for the sustainability of the social norms. The analysis of a simple case of social norm is suggested as a default model for analysis, and then the classification of subjects, enforcers, and audience is introduced. This triangular typology of agents (...) is extended by introducing a network of interlocking patterns underlying social behavior. Lastly, the paper describes two categories of transgressions based on misidentification. (shrink)

The construction of embodied conversational agents - robots as well as avatars - seem to be a new challenge in the field of both cognitive AI and human-computer-interface development. On the one hand, one aims at gaining new insights in the development of cognition and communication by constructing intelligent, physical instantiated artefacts. On the other hand people are driven by the idea, that humanlike mechanical dialog-partners will have a positive effect on human-machine-communication. In this contribution I put for discussion (...) whether the visions of scientist in this field are plausible and which problems might arise by the realization of such projects. (shrink)

The development of artificial agents for social interaction pushes to enrich robots with social skills and knowledge about (local) social norms. One possibility is to distinguish the expressive and the functional orders during a human-robot interaction. The overarching aim of this work is to set a framework to make the artificial agent socially-competent beyond dyadic interaction – interaction in varying multi-party social situations – and beyond individual-based user personalization, thereby enlarging the current conception of “culturally-adaptive”. (...) The core idea is to provide the artificial agent with the capability to handle different kinds of interactional disruptions, and associated recovery strategies, in microsociology. The result is obtained by classifying functional and social disruptions, and by investigating the requirements a robot’s architecture should satisfy to exploit such knowledge. The paper also highlights how this level of competence is achieved by focusing on just three dimensions: (i) social capability, (ii) relational role, and (iii) proximity, leaving aside the further complexity of full-fledged human-human interactions. Without going into technical aspects, End-to-end Data-driven Architectures and Modular Architectures are discussed to evaluate the degree to which they can exploit this new set of social and cultural knowledge. Finally, a list of general requirements for such agents is proposed. (shrink)

Now that complex Agent-Based Models and computer simulations spread over economics and social sciences - as in most sciences of complex systems -, epistemological puzzles (re)emerge. We introduce new epistemological concepts so as to show to what extent authors are right when they focus on some empirical, instrumental or conceptual significance of their model or simulation. By distinguishing between models and simulations, between types of models, between types of computer simulations and between types of empiricity obtained through a simulation, (...) section 2 gives the possibility to understand more precisely - and then to justify - the diversity of the epistemological positions presented in section 1. Our final claim is that careful attention to the multiplicity of the denotational powers of symbols at stake in complex models and computer simulations is necessary to determine, in each case, their proper epistemic status and credibility. (shrink)

The literature in agent-based social simulation suggests that a model is validated when it is shown to ‘successfully’, ‘adequately’ or ‘satisfactorily’ represent the target phenomenon. The notion of ‘successful’, ‘adequate’ or ‘satisfactory’ representation, however, is both underspecified and difficult to generalise, in part, because practitioners use a multiplicity of criteria to judge representation, some of which are not entirely dependent on the testing of a computational model during validation processes. This article argues that practitioners should address social epistemology (...) to achieve a deeper understanding of how warrants for belief in the adequacy of representation are produced. Two fundamental social processes for validation: interpretation and commensuration, are discussed to justify this claim. The analysis is advanced with a twofold aim. First, it shows that the conceptualisation of validation could greatly benefit from incorporating elements of social epistemology, for the criteria used to judge adequacy of representation are influenced by the social, cognitive and physical organisation of social simulation. Second, it evidences that standardisation tools such as protocols and frameworks fall short in accounting for key elements of social epistemology that affect different instances of validation processes. (shrink)

Standard notions in philosophy of mind have a tendency to characterize socio-cognitive abilities as if they were unique to sophisticated human beings. However, assuming that it is likely that we are soon going to share a large part of our social lives with various kinds of artificial agents, it is important to develop a conceptual framework providing notions that are able to account for various types of social agents. Recent minimal approaches to socio-cognitive abilities such as (...) mindreading and commitment present a promising starting point from which one can expand the field of application not only to infants and non-human animals but also to artificial agents. Developing a minimal approach to the sociocognitive ability of acting jointly, I present a foundation for future discussions about the question of how our conception of sociality can be expanded to artificial agents. (shrink)

Value-sensitive design theorists propose that a range of values that should inform how future social robots are engineered. This article explores a new value: digital well-being, and proposes that the next generation of social robots should be designed to facilitate this value in those who use or come into contact with these machines. To do this, I explore how the morphology of social robots is closely connected to digital well-being. I argue that a key decision is whether (...) social robots are designed as embodied or disembodied. After exploring the merits of both approaches, I conclude that, on balance, there are persuasive reasons why disembodied social robots may well fare better with respect to the value of digital well-being. (shrink)

Agent-based modeling has become a common and well-established tool in the social sciences and certain of the humanities. Here, we aim to provide an overview of the different modeling approaches in current use. Our discussion unfolds in two parts: we first classify different aspects of the model-building process and identify a number of characteristics shared by most agent-based models in the humanities and social sciences; then we map relevant differences between the various modeling approaches. We classify these into (...) different dimensions including the type of target systems addressed, the intended modeling goals, and the models’ degree of abstraction. Along the way, we provide reference to related debates in contemporary philosophy of science. (shrink)

A well-trod debate at the nexus of cognitive science and linguistics, the so-called past tense debate, has examined how rules and exceptions are individually acquired. However, this debate focuses primarily on individual mechanisms in learning, saying little about how rules and exceptions function from a sociolinguistic perspective. To remedy this, we use agent-based models to examine how rules and exceptions function across populations. We expand on earlier work by considering how repeated interaction and cultural transmission across speakers affects the dynamics (...) of rules and exceptions in language, measuring linguistic outcomes within a social system rather than focusing individual learning outcomes. We consider how population turnover and growth effect linguistic rule dynamics in large and small populations, showing that this method has considerable potential particularly in probing the mechanisms underlying the linguistic niche hypothesis. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Social Epistemologists at the Crossroads:Authorizing Agents of ChangeJames H. CollierIn this issue of Philosophy and Rhetoric, Thomas Basbøll and Christine Isager and Sine Just provide a vital, constructive forum for discussing the first and second editions of Philosophy, Rhetoric, and the End of Knowledge (PREK) and Steve Fuller's broader project of social epistemology. More specifically, both Basbøll's review and Isager and Just's suggest innovative proposals for (...) applying and assessing PREK's ideas and influence. In response, I analyze and counter Basbøll's and Isager and Just's conceptions of how agency is configured, and how criticism is authorized, at the level of textuality. I end by calling for deliberations to sort out what we, as social epistemologists and critical intellectuals, know and what we want to do about it.A Job for Social EpistemologistsIf the reader of PREK wants to "be" a social epistemologist, or "do" social epistemology, what would the job and its duties entail? Thomas Basbøll offers a job description for the social epistemologist as a "postmodern grammarian"—one "who corrects academic texts to suit them for strange times." This description strikes the dissonant chord of being at once pragmatic and abstract. On the one hand, correcting academic texts is a specific task reminiscent of the duties of writing instructors or editors. On the other hand, the specificity of the labor stands in juxtaposition to the surreal working conditions—the "strange times." And in the end, "postmodern grammarian" is hardly a position for which one could apply. Yet the specificity and dissonance in Basbøll's description reveals the difficulty and ambiguity of what Fuller asks the reader to do in PREK. Basbøll gets at this problem by [End Page 269] shifting the subject position of the social epistemologist to the postmodern grammarian. This move is necessary to bring social epistemology down from "the highest level" and make it task oriented. Interestingly, the job that Basbøll describes offers a return to textuality and, I would argue, critical intellectualism. Yet these positions appear somewhat removed from the role of the rhetorician as portrayed in PREK.In proposing a specific job for the social epistemologist, Basbøll develops a microlevel application of Fuller's macrolevel vision. Basbøll's task is not easy: "One of the greatest difficulties encountered in reading PREK is its willingness to make a great many philosophical commitments for openly rhetorical purposes. Not the least of these is the concept of knowledge that a research program and policy platform that calls itself 'social epistemology' is obviously dutybound to provide." The willingness of social epistemologists to occupy many philosophical positions also obscures what labor and service commitments they might make. Moreover, since PREK's initial publication (1993) Fuller has continued to multiply social epistemologists' roles regarding scientific conduct (Science, 1997; The Governance of Science, 2000a; Knowledge Management Foundations, 2002). Further, these commitments shift as Fuller has continued to reinterpret the historical record and to recast philosophical debates (Thomas Kuhn, 2000b; Kuhn vs. Popper, 2003). The ability to both destabilize and maintain such a fluid intellectual environment is something only Fuller, or the postmodern grammarian, could—or would want to—accomplish. More on that idea in a moment.Despite the moving target, defining the subject position of the social epistemologist has been a parallel conversation accompanying much of Fuller's work. I proposed the less "stylish" idea of the social epistemologist as technical communicator in PREK's first edition and in Scientific and Technical Communication (1997). Contemplating the social epistemologist's position as rhetorician, or vice versa, has been taken on by Keith (1995; 1996), Zagacki (1995), and Campbell and Benson (1996) (as summarized by Isager and Just). In contrast to these previous configurations, Basbøll situates the labor of the social epistemologist on the level of reading and writing. As he puts it:And it is precisely because the social epistemologist assists the writer of academic texts in the difficult task of connecting utterances to particular conditions (under which they are read) that social epistemology becomes a critical force. It is not by reconfiguring the knowledge-producing practices themselves [End Page 270] that this... (shrink)

Now that complex Agent-Based Models and computer simulations spread over economics and social sciences - as in most sciences of complex systems -, epistemological puzzles (re)emerge. We introduce new epistemological tools so as to show to what precise extent each author is right when he focuses on some empirical, instrumental or conceptual significance of his model or simulation. By distinguishing between models and simulations, between types of models, between types of computer simulations and between types of empiricity, section 2 (...) gives conceptual tools to explain the rationale of the diverse epistemological positions presented in section 1. Finally, we claim that a careful attention to the real multiplicity of denotational powers of symbols at stake and then to the implicit routes of references operated by models and computer simulations is necessary to determine, in each case, the proper epistemic status and credibility of a given model and/or simulation. (shrink)

This book brings together contributions from leading researchers in the field of agent-based modelling and simulation. This approach has grown out of some recent and innovative ideas in the social sciences, computer sciences, life sciences, physics and game theory. It is proving helpful in understanding complexity in many domains. The opportunities it offers to explore the experimental approach to social and human behaviour is proving of theoretical and empirical value across a wide range of fields. With contributions from (...) researchers whose work has served to define this new field such as Nigel Gilbert, Robert Axtell (in economics and social science) and Jacques Ferber (in multi-agent systems), as well as practitioners who are working at the cutting edge of the new domain, this collection of essays has been assembled by two of its leading exponents: Frédéric Amblard and Denis Phan. The research, case studies and theoretical approaches discussed in this book are designed to introduce beginners and experts alike to the current state of play in this new and exciting field of social science. (shrink)

This volume brings together contributions from leading researchers in the field of agent-based modelling and simulation. This approach has grown out of some recent and innovative ideas in the social sciences, computer sciences, life sciences, physics and game theory. It is proving helpful in understanding complexity in many domains. The opportunities it offers to explore the experimental approach to social and human behaviour is proving of theoretical and empirical value across a wide range of fields. With contributions from (...) researchers whose work has served to define this new field such as Nigel Gilbert, Robert Axtell (in economics and social science) and Jacques Ferber (in multi-agent systems), as well as practitioners who are working at the cutting edge of the new domain, this collection of essays has been assembled by two of its leading exponents: Frédéric Amblard and Denis Phan. The research, case studies and theoretical approaches discussed in this book are designed to introduce beginners and experts alike to the current state of play in this new and exciting field of social science. (shrink)

In the context of business, interactions between individuals generate social systems that emerge anywhere within a corporation or in its relations with external agents. These systems influence the behaviors of individuals and, as a result, the collective actions we usually attribute to corporations. Social systems thus make a difference in processes of action that are often morally evaluated by internal and external agents to the firm. Despite this relevance, social systems have not yet been the (...) object of specific attention in the literature on moral agency in business. To fill this gap, I construct a theoretical framework based on Luhmann’s ideas on social systems and morality. In particular, I argue that morality is a phenomenon that occurs in communication, and an agent can engage in morality in three different ways (as a _moral factor_, an _expressive moral agent_, or a _reflective moral agent_) depending on the functions it plays in communicative interactions. Based on this framework, I argue that social systems in business can be considered moral agents of those types. (shrink)

In this article, I argue for cooperation as a three-dimensional phenomenon lying on the continua of a cognitive, a behavioural, and an affective axis. Traditional accounts of joint action argue for cooperation as involving a shared intention. Developmental research has shown that such cooperation requires rather sophisticated social cognitive skills such as having a robust theory of mind - that is acquired not until age 4 to 5 in human ontogeny. However, also younger children are able to cooperate in (...) various ways. Moreover, the coordinated behaviours of the agents can be more or less complex. Finally, phenomenological considerations and findings from social psychology illustrate that affective states and agent-specificities may play a central role in cooperative activities. I end with discussing the implications of my analysis that speak in favour of a pluralist account of social cognition. (shrink)

This paper urges that if we wish to give social intelligence to our agents, it pays to look at how we acquired our social intelligence ourselves. We are born with drives and motives that are innate and deeply social. Next, as children we are socialized to acquire norms and values and to understand rituals large and small. These social elements are the core of our being. We capture them in the acronym GRASP: Groups, Rituals, Affiliation, (...) Status, Power. As a consequence, economic rationality or logical reasoning do not suffice when it comes to social intelligence. Basic features of our social behaviour, of the kind that one sees early in the lives of children, need to be prominent. These include fear, love, and aggression. They extend to the combination of these drives with basic social clues from the environment such as big and small, good and bad, as well as culture-specific specializations of these. This will make agents respond differentially to inferred attributes such as gender, age, group membership. This level of universality in social intelligence should receive our full attention. The general insights gained can then be re-used in myriad implementations to specific modelling issues. (shrink)

Atran & Norenzayan's (A&N's) target article effectively combines the insights of evolutionary biology and interdisciplinary cognitive science, neither of which alone yields sufficient explanatory power to help us fully understand the complexities of supernatural belief. Although the authors' ideas echo those of other researchers, they are perhaps the most squarely grounded in neo-Darwinian terms to date. Nevertheless, A&N overlook the possibility that the tendency to infer supernatural agents' communicative intent behind natural events served an ancestrally adaptive function.

The perspective of modelling agents rather than using them for a specificed purpose entails a difference in approach. In particular an emphasis on veracity as opposed to efficiency. An approach using evolving populations of mental models is described that goes some way to meet these concerns. It is then argued that social intelligence is not merely intelligence plus interaction but should allow for individual relationships to develop between agents. This means that, at least, agents must be (...) able to distinguish, identify, model and address other agents, either individually or in groups. In other words that purely homogeneous interaction is insufficient. Two example models are described that illustrate these concerns, the second in detail where agents act and communicate socially, where this is determined by the evolution of their mental models. Finally some problems that arise in the interpretation of such simulations is discussed. (shrink)

Humans are learning agents that acquire social group representations from experience. Here, we discuss how to construct artificial agents capable of this feat. One approach, based on deep reinforcement learning, allows the necessary representations to self-organize. This minimizes the need for hand-engineering, improving robustness and scalability. It also enables “virtual neuroscience” research on the learned representations.

Social judgment is a social inference process whereby an agent singles out individuals to blame or credit for multi-agent activities. Such inferences are a key aspect of social intelligence that underlie social planning, social learning, natural language pragmatics and computational models of emotion. With the advance of multi-agent interactive systems and the need of designing socially aware systems and interfaces to interact with people, it is increasingly important to model this human-centric form of social (...) inference. Based on psychological attribution theory, this paper presents a general computational framework to automate social inference based on an agent’s causal knowledge and observations of interaction. (shrink)

Jon Elster and Daniel Little have criticized social scientists for appealing to a mechanism of social selection in functional explanations of social practices. Both believe that there is no such mechanism operative in the social world. I develop and defend an account of functional explanation in which a mechanism of social selection figures centrally. In addition to developing an account of social selection, I clarify what functional hypotheses purport to claim, and re-examine the role (...) of agents’ intentions in functional explanations in an effort to show why a mechanism of social selection is indispensable to adequate functional explanations. (shrink)

Using agent‐based modelling, Harrington, Kleber, Reubold, Schiel & Stevens (2018) develop a unified model of sound change based on cognitive processing of human speech and theories of how social factors constrain the spread of change throughout a community. They conclude that many types of change result from how biases in the phonetic distribution of phonological categories are transmitted via accommodation processes between individuals in interaction.