Social kinds are heterogeneous. As a consequence of this diversity, some authors have sought to identify and analyse different kinds of social kinds. One distinct kind of social kinds, however, has not yet received sufficient attention. I propose that there exists a class of social-computation-supporting kinds, or SCS-kinds for short. These SCS-kinds are united by the function of enabling computations implemented by social groups. Examples of such SCS-kinds arereimbursement form,US dollar bill,chair of the board. I (...) will analyse SCS-kinds, contrast my analysis with theories of institutional kinds, and discuss the benefits of investigating SCS-kinds. (shrink)

People’s decisions and actions are informed, influenced, and constrained by socially constructed social arrangements. Usually, these social arrangements are pre-determined, and people joining institutions or organizations may have, at least initially, little control or influence over them. Occasionally, however, but increasingly commonly in the transition to the “Digital Society,” people have an opportunity to self-determine their social arrangements “from scratch.” The issues then are: how do people gain experience in such founding processes, experiment safely with alternative (...) class='Hi'>social arrangements, and gain expertise so that they can participate meaningfully, for example in consultation events. In this research paper, we address these issues by presenting a framework for “computer-supported social arrangements” tools which would enable people to specify, learn, apply, evaluate, and innovate social arrangements. This would contribute to empowering people and communities with the necessary experience, experimentation, and expertise for effective and sustainable self-determination of their own social arrangements. (shrink)

This volume summarizes the ethical, social and cultural contexts of interfacing brains and computers. It is intended for the interdisciplinary community of BCI stakeholders. Insofar, engineers, neuroscientists, psychologists, physicians, care-givers and also users and their relatives are concerned. For about the last twenty years brain-computer-interfaces (BCIs) have been investigated with increasing intensity and have in principle shown their potential to be useful tools in diagnostics, rehabilitation and assistive technology. The central promise of BCI technology is enabling severely impaired people (...) in mobility, grasping, communication, and entertainment. Successful applications are for instance communication devices enabling locked-in patients in staying in contact with their environment, or prostheses enabling paralysed people in reaching and grasping. In addition to this, it serves as an introduction to the whole field of BCI for any interested reader. (shrink)

The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This first volume focuses on the scope of computational social science, ethics, and case studies. It covers (...) a range of key issues, including open science, formal modeling, and the social and behavioral sciences. This volume explores major debates, introduces digital trace data, reviews the changing survey landscape, and presents novel examples of computational social science research on sensing social interaction, social robots, bots, sentiment, manipulation, and extremism in social media. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates and researchers engaging with computational methods across the social sciences, as well as those within the scientific and engineering sectors. (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.

In the last half century we have gone from storing data on 5-1/4 inch floppy diskettes to cloud and now fog computing. But one should ask why so much data is being collected. Part of the answer is simple in light of scientific projects but why is there so much data on us? Then, we ask about its “interface” through fog computing. Such questions prompt this chapter on the philosophy of big data and fog computing. After some (...) background on definitions, origins and contemporary applications, the main discussion begins with thinking about modern data collection, management, and applications from a complexity standpoint. Big data is turned into knowledge but knowledge is extrapolated from the past and used to manage the future. Yet it is questionable whether humans have the capacity to manage contemporary technological and social complexity evidenced by our world in crisis and possibly on the brink of extinction. Such calls for a new way of studying societies from a scientific point of view. We are at the center of the observation from which big data emerge and are manipulated, the overall human project being not only to create an artificial brain with an attendant mind but a society that might be able to survive what “natural” humans cannot. (shrink)

This paper presents an approach to the belief system based on a computational framework in three levels: first, the logic level with the definition of binary local rules, second, the arithmetic level with the definition of recursive functions and finally the behavioural level with the definition of a recursive construction pattern. Social communication is achieved when different beliefs are expressed, modified, propagated and shared through social nets. This approach is useful to mimic the belief system because the defined (...) functions provide different ways to process the same incoming information as well as a means to propagate it. Our model also provides a means to cross different beliefs so, any incoming information can be processed many times by the same or different functions as it occurs is social nets. (shrink)

University of Pennsylvania, USA, el322{at}nyu.edu ' + u + '@' + d + ' '//--> One of the most consistent findings in experimental studies of social dilemmas is the positive influence of face-to-face communication on cooperation. The face-to-face `communication effect' has been recently explained in terms of a `focus theory of norms': successful communication focuses agents on pro-social norms, and induces preferences and expectations conducive to cooperation. 1 Many of the studies that point to a communication effect, however, (...) do not further explore whether and to what extent the communication medium affects cooperative behavior. In this article, we ask if pro-social behavior can emerge and survive in computer-mediated environments. We show that, like face-to-face communication, computer-mediated communication also positively affects cooperation in social dilemmas, but cooperation is more difficult to establish and maintain. We argue that the discrepancy between the computer-mediated and the face-to-face communication effects is a consequence of the distinct capabilities of different media to focus agents on pro-social norms and to allow them to develop mutual expectations about future behavior. Key Words: social dilemmas • laboratory experiments • communication • social norms • cooperation • computer-mediated communication. (shrink)

Social scientists and computer scientist are divided by small differences in perspective and not by any significant disciplinary divide. In the field of text analysis, several such differences are noted: social scientists often use unsupervised models to explore corpora, whereas many computer scientists employ supervised models to train data; social scientists hold to more conventional causal notions than do most computer scientists, and often favor intense exploitation of existing algorithms, whereas computer scientists focus more on developing new (...) models; and computer scientists tend to trust human judgment more than social scientists do. These differences have implications that potentially can improve the practice of social science. (shrink)

This paper addresses social and ethical issues in computer‐mediated education, with a focus on higher education. It will be argued if computer‐mediated education is to be implemented in a socially and ethically sound way, four major social and ethical issues much be confronted. These are: the issue of value transfer in higher education: can social, cultural and academic values be successfully transmitted in computer‐mediated education? the issue of academic freedom: are computer‐mediated educational settings conducive for academic freedom (...) or do they threaten to undermine it? the issue of equality and diversity: does a reliance on computer networks in higher education foster equality and equity for students and does it promote diversity, or does it disadvantage certain social classes and force conformity? the issue of ethical student and staff behaviour: What kinds of unethical behaviour by students and staff are made possible in computer‐mediated education, and what can be done against it? Existing studies relating to these four issues are examined and some tentative policy conclusions are drawn. (shrink)

Over recent decades, computer simulations have become a common tool among practitioners of the social sciences. They have been utilized to study such diverse phenomena as the integration and segregation of different racial groups, the emergence and evolution of friendship networks, the spread of gossip, fluctuations of housing prices in an area, the transmission of social norms, and many more. Philosophers of science and others interested in the methodological status of these studies have identified a number of distinctive (...) virtues of the use of computer simulations. For instance, it has been generally appreciated that as simulations require the formulation of an explicit algorithm, they foster precision and clarity about whatever conceptual issues are involved in the study. The value of computer simulations as a heuristic tool for developing hypotheses, models, and theories has also been recognized, as has been the fact that they can serve as a substitute for real experiments. This is especially useful in the social domain, given that human beings cannot be freely manipulated at the discretion of the experimenter . However, the main virtue of computer simulations is generally believed to be that they are able to deal with the complexities that arise when many elements interact in a highly dynamic system and which often evade an exact formal analysis. (shrink)

A brain-computer interface technology that can decode the neural signals associated with attempted but unarticulated speech could offer a future efficient means of communication for people with severe motor impairments. Recent demonstrations have validated this approach. Here we assume that it will be possible in future to decode imagined (i.e., attempted but unarticulated) speech in people with severe motor impairments, and we consider the characteristics that could maximize the social utility of a BCI for communication. As a social (...) interaction, communication involves the needs and goals of both speaker and listener, particularly in contexts that have significant potential consequences. We explore three high-consequence legal situations in which neurally-decoded speech could have implications:Testimony, where decoded speech is used as evidence;Consent and Capacity, where it may be used as a means of agency and participation such as consent to medical treatment; andHarm, where such communications may be networked or may cause harm to others. We then illustrate how design choices might impact the social and legal acceptability of these technologies. (shrink)

Thinking through other minds encompasses new dimensions in computational psychiatry: social interaction and mutual sense-making. It questions the nature of psychiatric manifestations in light of recent data on social interaction in neuroscience. We propose the concept of “social physiology” in response to the call by the conceivers of TTOM for the renewal of computational psychiatry.

This paper discusses current clinical applications and possible future uses of brain-computer interfaces as a means for communication, motor control and entertainment. After giving a brief account of the various approaches to direct brain-computer interaction, the paper will address individual, social and ethical implications of BCI technology to extract signals from the brain. These include reflections on medical and psychosocial benefits and risks, user control, informed consent, autonomy and privacy as well as ethical and social issues implicated in (...) putative future developments with focus on human self-understanding and the idea of man. BCI use which involves direct interrelation and mutual interdependence between human brains and technical devices raises anthropological questions concerning self-perception and the technicalization of the human body. (shrink)

Under the wave of globalization, the ties between countries are getting closer and closer. Based on the differences in the languages of different countries, the importance of English as a universal language is becoming more and more prominent. In the past, English teaching was mainly taught by teachers and students. This mode of English learning is more of theoretical teaching, which has little effect on improving English ability. In the era of intelligence, with the upgrading of technology and the renewal (...) of ideas, interactive English teaching is more accepted by people and becomes a new solution for English teaching. Studying English teaching from the perspective of social cognition, this paper proposes to realize human-computer interaction with the help of advanced science and technology, create an interactive teaching environment, and realize interactive learning in an English environment. This paper designed a control experiment of the experimental group and the control group to verify the impact of human-computer interaction teaching on students’ English performance and investigated students’ performance and teachers’ feelings and their related opinions on human-computer interaction learning. The experimental results of this paper show that human-computer interactive English teaching can help to enhance students’ interest in English learning and improve English expression significantly. (shrink)

Purpose – Tabletop online role-playing games enable active learning appropriate for different ages and learner capabilities. They have also been implemented in computer and engineering ethics courses. The paper aims to discuss these issues. Design/methodology/approach – This paper presents the experience of implementing role-playing in several courses embedded in Web 2.0 environment, with an intention to confront complex and sometimes mutually conflicting concepts, and integrate them into a whole. Findings – Typical examples introducing two basic scenarios representing individual and collaborative (...) learning scripts are presented together with the detailed analysis how the games were performed, the effort to participate in, and to maintain them. Particular attention is paid to student feedback. Originality/value – The paper concludes with the basic findings of the effects of role-playing in current learning computer ethics and social responsibilities courses, and recommendations for future implementation of similar asynchronous learning online activities in order to increase their academic value and prepare students for their forthcoming professional integration. (shrink)

Discussions on the alleged methodological specificity of social knowledge are fueled to not the least extent by a kind of retarded position of the latter against technological advancements of natural and information science based on exact methods and formal or quantitative languages. It is more or less obvious that applicability of exact scientific methods to social disciplines is highly dependent on a chosen conception of social reality, i. e., on social ontology. In the article, the author (...) critically approaches the ontological views of Tony Lawson and proposes a computational view on social ontology that is supposed to eliminate some internal contradictions of Lawson's realist conception. (shrink)

Research in multi-agent systems typically assumes a regulative model of social practice. This model starts with agents who are already capable of acting autonomously to further their individual ends. A social practice, according to this view, is a way of achieving coordination between multiple agents by restricting the set of actions available. For example, in a world containing cars but no driving regulations, agents are free to drive on either side of the road. To prevent collisions, we introduce (...) driving regulations, insisting that everyone drives on the left hand side of the road. We accept this limitation on our freedom because it lowers the probability of a collision. -/- This paper describes AI systems that are based on the constitutive view of social practice. According to this alternative view, there are certain actions that are only available to the agent because he is participating in a practice of a certain sort. For example, you can swing a peculiarly shaped piece of wood without participating in any particular practice - but this action will only constitute a strike if you are participating in a game of baseball. I can raise my hand whenever I like, but this only counts as voting for the motion within the institution of voting. But not all the examples are from frivolous, optional or institutional activities. Sellars and Brandom argue that even the fundamental act of assertion is only possible within the context of a particular social practice: the Game of Giving and Asking for Reasons. -/- The constitutive view, which is familiar to philosophers, is relatively unknown within the AI community. -/- The central aim of this paper is to show how the constitutive view of practice can be put to use in AI applications. (shrink)

A sociological revision of Aron Gurwitsch provides a helpful layered theory of conscious experience as a four-domain structure: _the theme_, _the thematic field_, _the halo_, and _the social horizon_. The social horizon—the totality of the social world that is unknown, vaguely known, taken for granted, or ignored by the subject despite objectively influencing the thoughts and actions of the subject—, helps conceptualize how everyday human–computer interaction (HCI) can obscure social structures. Two examples illustrate the usefulness of (...) this framework: (1) illuminating new forms of social control known as “surveillance capitalism” that influence the other domains of consciousness despite being invisible to the subject and (2) explaining how computer use tends to “hide” the ecological impacts of digital-technological systems from the attention of subjects. A sociological four-domain theory of consciousness supplements ethnomethodological HCI research by preserving the field’s long-standing focus on micro-level interactions and user experience while simultaneously drawing attention to a “commonsense ignorance of social structure”—in this case, the invisibility of the social structures behind personal computer use. Social structure can be reproduced even when actors are unaware of engaging in its reproduction. (shrink)

I explore a type of computational social simulation known as artificial societies. Artificial society simulations are dynamic models of real-world social phenomena. I explore the role that these simulations play in social explanation, by situating these simulations within contemporary philosophical work on explanation and on models. Many contemporary philosophers have argued that models provide causal explanations in science, and that models are necessary mediators between theory and data. I argue that artificial society simulations provide causal mechanistic explanations. (...) I conclude that in their current form, these simulations are based on methodologically individualist assumptions that could limit their potential scope of social explanation. (shrink)

This paper presents an approach to the belief system based on a computational framework in three levels: first, the logic level with the definition of binary local rules, second, the arithmetic level with the definition of recursive functions and finally the behavioural level with the definition of a recursive construction pattern. Social communication is achieved when different beliefs are expressed, modified, propagated and shared through social nets. This approach is useful to mimic the belief system because the defined (...) functions provide different ways to process the same incoming information as well as a means to propagate it. Our model also provides a means to cross different beliefs so, any incoming information can be processed many times by the same or different functions as it occurs is social nets. (shrink)

What place should formal or computational methods occupy in social psychology? We consider this question in historical perspective, survey the current state of the field, introduce the several new contributions to this special issue, and reflect on the future.

The paper takes a Critical Discourse Analysis angle and joins Social Media Studies and Religious Studies perspectives of Computer Mediated Communication material to examine such strategies of online interpersonal communication as may foster civic solidarity on social networks sites over local incidents with national and international media coverage. Computer mediated discourse is often underpinned by ideological antagonism especially when tackling social, political, cultural and even religious issues. Our topic choice was occasioned by an infelicitous episode – a (...) fire in a local venue hosting a rock concert that resulted in a high number of casualties and fatalities. The tragic episode triggered some polarized and highly opinionated positioning in the social media, both independent of and/or in retaliation to media sourced accounts and personal posts. We analyzed qualitatively authentic CMC material as well as edited media inputs in order to establish if and how the networked, yet generationally diverse, public achieve symbolic solidarity through reactive and correlated digi-participation where sociocultural identities become tangent to such ecclesiastic issues as became salient and were up-cycled in the local political conjecture. (shrink)

It is not uncommon today to find the claim made that the computer's capacity to adjust its course of action based on negative feedback satisfactorily explains human agency or free will. Conversely, postmodernism and social constructionism are said to be theories of behavior in which a language system locks people into a cultural determination that denies them agency. The author argues that precisely the reverse is true: computers cannot account for true agency whereas both postmodernism and an important wing (...) of social constructionism do have certain loopholes enabling agential explanations to be developed. The key here is the employment of oppositionality in the theories under analysis. The ability to freely select the grounds for the sake of which one is determined requires an oppositional cast to human cognition and behavior. The author's Logical Learning Theory is offered as an example of theorizing that is amenable to genuine human agency thanks to its central reliance on oppositionality. (shrink)

Although the field of wearable computing is experiencing a great boost at the level of design and production, research on its social dimensions is still at an early phase and the literature on the subject is scant. This paper attempts to partially fill this gap by reviewing the current status of the field of wearable computing and the main issues that are starting to emerge from their usage. The first part defines wearable computers and assesses its technical (...) and conceptual origins and developments. Examples of current wearable computing products are provided. The second part reviews some of its possible social implications, especially as they relate to the issue of control. It concludes by suggesting future research directions for the study of the social dimensions of wearable computing. (shrink)

Organizational innovation depends heavily on whether or not communication processes are regulated. Furthermore, social networks represent content-based connectivity of actors in opposition to formal organization. Communication technologies such as e-mail make it possible to continuously maintain the establishment and preserve social networks. Enhancing cooperation in team working processes are the benefits of social networks in dynamic organizations. This article reports on four case studies which focused on teamwork and the structural analysis of e-mail as a communication technology (...) in a mobile phone company. The case studies reveal the impact of computer supported social networks which became mainly apparent through changes in personal communication styles and the establishment of alternative hierarchies in electronic environments. (shrink)

I'm Brian Harvey; I'm a Lecturer with Security of Employment in the EECS Department at the University of California at Berkeley. My main teaching assignment is our first course for CS majors, based on the Abelson and Sussman text from MIT. But I also teach "Social Implications of Computers," a course that was retired along with the professor who first taught it, and that I campaigned unsuccessfully to revive for several years until ABET, our accrediting agency, won the battle (...) for me by complaining about the lack of ethics in our curriculum. (shrink)

We don't yet have adequate theories of what the human mind is representing when it represents a social group. Worse still, many people think we do. This mistaken belief is a consequence of the state of play: Until now, researchers have relied on their own intuitions to link up the concept social group on the one hand and the results of particular studies or models on the other. While necessary, this reliance on intuition has been purchased at a (...) considerable cost. When looked at soberly, existing theories of social groups are either literal, but not remotely adequate, or simply metaphorical. Intuition is filling in the gaps of an explicit theory. This paper presents a computational theory of what, literally, a group representation is in the context of conflict: It is the assignment of agents to specific roles within a small number of triadic interaction types. This “mental definition” of a group paves the way for a computational theory of social groups – in that it provides a theory of what exactly the information-processing problem of representing and reasoning about a group is. For psychologists, this paper offers a different way to conceptualize and study groups, and suggests that a non-tautological definition of a social group is possible. For cognitive scientists, this paper provides a computational benchmark against which natural and artificial intelligences can be held. (shrink)

Even though Pietraszewski acknowledges the tentative nature of the theory and the multiple lines of adjacent research needed to flesh it out, he insists that the finite set of primitives he identified is necessary and sufficient for defining social groups in the context of conflict. In this commentary I expose three interrelated conundrums that cast doubt on this simplistic presumption.

The justification of induction is of central significance for cross-cultural social epistemology. Different ‘epistemological cultures’ do not only differ in their beliefs, but also in their belief-forming methods and evaluation standards. For an objective comparison of different methods and standards, one needs (meta-)induction over past successes. A notorious obstacle to the problem of justifying induction lies in the fact that the success of object-inductive prediction methods (i.e., methods applied at the level of events) can neither be shown to be (...) universally reliable (Hume's insight) nor to be universally optimal. My proposal towards a solution of the problem of induction is meta-induction. The meta-inductivist applies the principle of induction to all competing prediction methods that are accessible to her. By means of mathematical analysis and computer simulations of prediction games I show that there exist meta-inductive prediction strategies whose success is universally optimal among all accessible prediction strategies, modulo a small short-run loss. The proposed justification of meta-induction is mathematically analytical. It implies, however, an a posteriori justification of object-induction based on the experiences in our world. In the final section I draw conclusions about the significance of meta-induction for the social spread of knowledge and the cultural evolution of cognition, and I relate my results to other simulation results which utilize meta-inductive learning mechanisms. (shrink)

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

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

This clear and accessible textbook and its associated website offer a state of the art introduction to the burgeoning field of computer ethics and professional responsibility. Includes discussion of hot topics such as the history of computing; the social context of computing; methods of ethical analysis; professional responsibility and codes of ethics; computer security, risks and liabilities; computer crime, viruses and hacking; data protection and privacy; intellectual property and the “open source” movement; global ethics and the internet (...) Introduces key issues and concepts at the start of each section, and features classroom-tested study questions, and lists of useful websites and further reading Provides a wealth of relevant case studies, and an easy-to learn case-analysis technique Is accompanied by a website, offering sample student answers, additional study questions, example case analyses, and discussion forums. (shrink)