Computational sociology models social phenomena using the concepts of emergence and downward causation. However, the theoretical status of these concepts is ambiguous; they suppose too much ontology and are invoked by two opposed sociological interpretations of social reality: the individualistic and the holistic. This paper aims to clarify those concepts and argue in favour of their heuristic value for social simulation. It does so by proposing a link between the concept of emergence and Luhmann's theory of communication. For (...) Luhmann, society emerges from the bottom-up as communication and he describes the process by which society limits the possible selections of individuals as downward causation. It is argued that this theory is well positioned to overcome some epistemological drawbacks in computational sociology. (shrink)

This commentary elaborates on the ideas and projects outlined in this special issue, from a specifically sociological perspective. Much recent work in sociology proposes ‘methods mashups’ of ethnography and digital data/computational tools in different and diverse ways. However, typically, these have taken the form of applying the principles of ethnography to new domains and data types, as if ethnography itself is stable and immutable; that it has a universal set of methodological principles that unify ethnographic practice. Returning to (...) anthropology is, therefore, a useful way to extend our methodological thinking to consider what ethnography is and how it operates, and from there think more clearly about how it may be effectively combined with digital data/computational tools in an emerging ‘Computational Anthropology’. (shrink)

The vision of the new generation of office systems is based on the hypothesis that an automatic support system is all the more useful and acceptable, the more systems behaviour and performance are in accordance with features ofhuman behaviour. Consequently recent development activities are influenced by the paradigm of the computer as man's “cooperative assistant”. The metaphors ofassistance andcooperation illustrate some major requirements to be met by new office systems. Cooperative office systems will raise a set of new questions about (...) the future of human work, human-machine interaction, the forms of individual control of work, the scope of action and the development of competence in the frame of AI-supported cooperative work, the relative benefits of different types of organizations, etc. With increasing autonomy of the computer in task accomplishment, research should also be concerned with the question of the limits of such a development. In AI-research and development there is much discussion of the intended performance of that new technology. Perhaps this will provide insights into, how these new machines should support numerous aspects of individual or cooperative work. But we find fewer ideas about the future ofhuman work. What will the role of thehuman actor be in future AI-supported cooperative work? What kind of work do we want to support with AI-machines? In the following article I will try to identify some questions for further sociological research activities. I will base my considerations on some theoretical aspects ofunderstanding andmeaning. Regarding identical and non-identical aspects in communication behaviour of human and machines, I will focus on some questions to be investigated. Finally some methodological problems of sociological research in the field of Artificial Intelligence will be discussed, especially the so-called “Time-Dilemma” of sociological research in technology. (shrink)

The explanatory power of structures in analytical sociologists’ agent-based models brings into question methodological individualism. We defend that from an explanatory point of view, the syntactic properties of models require semantic conditions of interpretation drawn from a conceptual research framework; in such a framework, social/relational structures have only partial, explanatory power ; and taking the explanation further through generative mechanism modeling necessitates calling upon methodological individualism’s generic framework of interpretation that relies on social actors’ rational capacity. According to this interpretive (...) framework, forces in action in society are governed by the subjective meaning of/the reasons for individual actions. (shrink)

Since the sixties, computational modeling has become increasingly important in both the physical and the social sciences, particularly in physics, theoretical biology, sociology, and economics. Sine the eighties, philosophers too have begun to apply computational modeling to questions in logic, epistemology, philosophy of science, philosophy of mind, philosophy of language, philosophy of biology, ethics, and social and political philosophy. This chapter analyzes a selection of interesting examples in some of those areas.

This article discusses agent-based simulation (ABS) as a tool of sociological understanding. I argue that agent-based simulations can play an important role in the expansion of explanatory understanding in the social sciences. The argument is based on an inferential account of understanding (Ylikoski 2009, Ylikoski & Kuorikoski 2010), according to which computer simulations increase our explanatory understanding by expanding our ability to make what-if inferences about social processes and by making these inferences more reliable. The inferential account also suggests a (...) number of ways in which the use of simulation methodology might give rise to illusory understanding. The structure of the article is as .. (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)

Humans participate in an immense variety of relationships with other persons and other entities: human and nonhuman, living and nonliving, tangible and intangible, real and imagined. Participation in relationships is considered a key benchmark of personhood. Some of these relationships, particularly friendships, involve close emotional attachments, and some friendships have been described since antiquity as spiritual in nature. Different types of friendship depend upon factors such as proximity, social formality, physical intimacy, information exchanged, and the costs and benefits of maintaining (...) the relationship. There are time‐extended processes and narrative practices involved in forming and dissolving relationships. A question is raised how androids (hypothetical humanoid robots that people would accept as equals in society) can participate in friendships with humans and other entities. This article explores the space of friendships with the aim of formulating guidelines for a computational model that can make explicit the information processing requirements and step‐by‐step processes involved with participating in the many different types of friendships, including those known as spiritual friendships. (shrink)

In a society where computers have become ubiquitous, it is necessary to develop a broader understanding of the nature of computing and programming, not just from a technical viewpoint but also from a historical and philosophical perspective. Computers and computer programs do not exist in a vacuum. Instead, they are a part of a rich socio-technological context that provides ways for understanding computers and reasoning about programs. This includes not only formal logic, mathematics, sciences, and technology but also cognitive sciences (...) and sociology. The focus of this special issue is on questions that arise when we consider computing and programming in a wider context. In particular, the papers in this special issue explore the interplay between computing or programming and mathematics, formal logic, sciences, technology, and society. (shrink)

This article concerns the curriculum of computer literacy (CL). A strong sense of technical necessity informs the design of the CL curriculum, and as a result, instruction is inadequate at best and dehumanizing at worst. CL curriculum and instruction are informed by a sense of technical determinism and a particular form of masculinity. This article draws mainly from the sociology of education, supplemented by personal observation. The article has two implications. First, to reduce the failure and frustration that many (...) feel as they attempt to become computer literate, greater attention ought to be given in CL curriculum design to the concept of learning as enculturation and to cognitive context. Second, to counter the sense of necessity that leads designers and others to ignore culture and context, the formal CL curriculum must give serious attention to the social construction of educational technology/technique, especially the in fluence of gender. (shrink)

Goldthorpe reveals the genealogy of present-day sociological science through studies of the key contributions made by seventeen pioneers in the field, ranging from John Graunt and Edmond Halley in the mid-seventeenth century to Otis Dudley Duncan, James Coleman and Raymond Boudon in the late twentieth. Goldthorpe's biographies of these figures and analyses of their work reveal clear lines of intellectual descent, building towards the author's model of sociology as the study of human populations across time and place, previously outlined (...) in his book Sociology as a Population Science. The extent to which recent developments such as computational sociology and analytical sociology are in continuation with the efforts of these influential thinkers is also critically examined. Pioneers of Sociological Science will appeal to students and scholars of sociology and to anyone engaged in social science research, from statisticians to social historians. (shrink)

This paper tries to critically analyse Jeffrey Alexander?s cultural sociology. In the first part of the paper I will examine Alexander?s conception of hermeneutical structuralism which argues that conventional systemic sociology and richness of experience found in everyday praxis can be reconciled. In the next section I will provide a critique of this kind of approach to social theory and maintain that Alexander?s sociology is, in principle, reductionist regarding everyday life. In addition, I will also point out (...) some of the comparative advantages that pragmatically oriented theory has in the attempt of integrating theoretical and practical knowledge. In the final section of the paper, I will try to illustrate some of the major shortcomings of Alexander?s sociology on the concrete example of advances in computer technology. (shrink)

I propose that a sociological and historical examination of nanotechnologists can contribute more to an understanding of nanotechnology than an ontological definition. Nanotechnology emerged from the convergent evolution of numerous "technical knowledge communities"-networks of tightly-interconnected people who operate between disciplines and individual research groups. I demonstrate this proposition by sketching the co-evolution of computational chemistry and computational nanotechnology. Computational chemistry arose in the 1950s but eventually segregated into an ab initio, basic research, physics-oriented flavor and an industry-oriented, (...) molecular modeling and visualization, biochemical flavor. Computational nanotechnology arose in the 1990s as a synthesis of these two subgroups, infused by people and practices from computational materials science, engineering, computer science, and elsewhere. I show that to understand the aims and outcomes of computational nanotechnology-and nanotechnology more generally-we need to understand relationships between different, but related, nano knowledge communities and their dependence on particular practices, artifacts, and theories. (shrink)

Debates over the causes and consequences of the “Axial Age” – and its relevance for understanding and explaining “modernity” – continue to rage within and across a wide variety of academic disciplines, including anthropology, sociology, archaeology, history, social theory, and cognitive science. We present a computational model that synthesizes three leading theories about the emergence of axial civilizations. Although these theories are often treated as competitors, our computational model shows how their most important conceptual insights and empirically (...) based causal claims can be integrated within a single computational architecture. The plausibility of the latter is supported by the results of our simulation experiments, which were able to simulate the emergence and growth of an axial civilization. The model shows how the relevant theories can be rendered consistent, while challenging the claims of any one to comprehensiveness. (shrink)

The relationship between archaeology and other sciences has only recently become a research topic for sociologists and historians of science. From the 1950s to the present day, different approaches have been taken and the aims of research studies have changed considerably. Besides methodological textbooks, which aim at advancing archaeological knowledge, historians of archaeology have tackled this question by exploring the development of archaeology as a scientific discipline. More recently, collaborations between archaeologists and other scientists have been examined as a general (...) phenomenon regarding transfers of knowledge and power relationships between specialists, organizations, and scientific tools, where archaeology is considered as a scientific practice. Adopting a sociohistorical perspective, this entry examines the specificity of aims, facts, and procedures shared by archaeologists and other scientists regarding the crucial question of measuring time and computations. (shrink)

Philosophical and sociological approaches in technology have increasingly shifted toward describing AI (artificial intelligence) systems as ‘(moral) agents,’ while also attributing ‘agency’ to them. It is only in this way – so their principal argument goes – that the effects of technological components in a complex human-computer interaction can be understood sufficiently in phenomenological-descriptive and ethical-normative respects. By contrast, this article aims to demonstrate that an explanatory model only achieves a descriptively and normatively satisfactory result if the concepts of ‘(moral) (...) agent’ and ‘(moral) agency’ are exclusively related to human agents. Initially, the division between symbolic and sub-symbolic AI, the black box character of (deep) machine learning, and the complex relationship network in the provision and application of machine learning are outlined. Next, the ontological and action-theoretical basic assumptions of an ‘agency’ attribution regarding both the current teleology-naturalism debate and the explanatory model of actor network theory are examined. On this basis, the technical-philosophical approaches of Luciano Floridi, Deborah G. Johnson, and Peter-Paul Verbeek will all be critically discussed. Despite their different approaches, they tend to fully integrate computational behavior into their concept of ‘(moral) agency.’ By contrast, this essay recommends distinguishing conceptually between the different entities, causalities, and relationships in a human-computer interaction, arguing that this is the only way to do justice to both human responsibility and the moral significance and causality of computational behavior. (shrink)

Working with computational methods and large textual analysis has been challenging and very rewarding—with all the ups and downs that doing empirical social research entails. In my contribution, I relate some research experiences and reflect upon data construction and the links between theory, data, and methods.

F. H. George is Professor of Cybernetics at Brunel University in England. His book comprises eight chapters originally developed as lectures for a non-specialist audience. He points out the position of computer science among the sciences, explains its aims, procedures, and achievements to date, and speculates on its long-term implications for science in particular and society in general. Among the topics discussed are biological simulation and organ replacement, automated education, and the new philosophy of science. Each chapter concludes with a (...) brief summary. George's treatment of the technical details of his speciality is both illuminating and readable, thus serving as an excellent primer on one of the new technology's most important components. His wider forays into philosophy, economics, sociology, and religion are less happy, however; and unfortunately they take up a large part of the text. In general, they reveal that George identifies the methods of human advancement with the methods of the natural sciences in an equation whose rigidity would make even B. F. Skinner blush. Yet, the reader cannot claim that he was not forewarned; for in the introduction, D. J. Stewart, Chairman of the Rationalist Press Association, suggests that the current "swing of interest among young people away from the physical and biological sciences and towards the behavioural and social sciences... represents a symptom of disillusionment with science and technology and an attempted escape into irrationality."--J. M. V. (shrink)

The Handbook of Value combines the forces of the many disciplines involved in value research, by integrating the perspectives of distinguished scholars from the different disciplines. Contributions cover conceptual issues such as definitions of value, psychological and neurological mechanisms underlying value computation and representation, types and taxonomies of value, interindividual and intercultural value differences, the role of value in emotion, moral judgment, decision-making and behavior, as well as case studies of individual varieties of value. The volume contributes to an interdisciplinary (...) dialogue and integration by providing a common reference point that may serve as a resource for disciplinary excellence and interdisciplinary cross-fertilization. (shrink)

What structure of scientific communication and cooperation, between what kinds of investigators, is best positioned to lead us to the truth? Against an outline of standard philosophical characteristics and a recent turn to social epistemology, this paper surveys highlights within two strands of computational philosophy of science that attempt to work toward an answer to this question. Both strands emerge from abstract rational choice theory and the analytic tradition in philosophy of science rather than postmodern sociology of science. (...) The first strand of computational research models the effect of communicative networks within groups, with conclusions regarding the potential benefit of limited communication. The second strand models the potential benefits of cognitive diversity within groups. Examples from each strand of research are used in analyzing what makes modeling of this sort both promising and distinctly philosophical, but are also used to emphasize possibilities for failure and inherent limitations as well. (shrink)

This paper describes the major components of ImpactCS, a program to develop strategies and curriculum materials for integrating social and ethical considerations into the computer science curriculum. It presents, in particular, the content recommendations of a subcommittee of ImpactCS; and it illustrates the interdisciplinary nature of the field, drawing upon concepts from computer science, sociology, philosophy, psychology, history and economics.

Collective dilemmas have attracted widespread interest in several social sciences and the humanities including economics, sociology and philosophy. Since Hardin’s intuitive example of the Tragedy of the Commons, many real-world public goods dilemmas have been analysed with a wide ranging set of possible and actual solutions. The plethora of solutions to these dilemmas suggests that people make different kinds of decision in different situations. Rather than trying to find a unifying kind of reasoning to capture all situations, as the (...) paradigm of rationality has done, this article develops a framework of agent decision-making for social simulation, that takes seriously both different kinds of decision making as well as different interpretations of situations. The Contextual Action Framework for Computational Agents allows for the modelling of complex social phenomena, like dilemma situations, with relatively simple agents by shifting complexity from an agent’s cognition to an agent’s context. (shrink)

Several authoritative sources have raised the possibility that computer counting and monitoring of work in automated workplaces will transform offices into electronic sweatshops. This paper examines this idea from the vantage point of industrial sociology and managerial theory. Five theoretical models are developed, each of which generates hypotheses about the contexts in which work monitoring becomes important. A brief history of clerical work is given which shows the antecedents of surveillance and work-measurement in this sphere, and a case study (...) of control in an automated office is presented in order to illustrate certain practical limitations on the use of computer surveillance. These insights are combined into a synthetic model which describes those contexts in which surveillance would be likely to result in speed-ups, and those where it would not. (shrink)

This article presents the results of an empirical study of the “sportification” of amateur-level competitive computer gaming. How do amateur players, who are unlikely to become professional esports players, turn what is considered to be enjoyable entertainment into a collective activity that demonstrates traits traditionally associated with professional sports, such as self-discipline, a focus on achieving results and overcoming personal limitations? Ethnographic research, consisting of in-depth interviews and participant observations, was conducted in the last quarter of 2019 based on a (...) series of tournaments (Rocket League, Counter-Strike: Global Offensive, League of Legends, and Rainbow Six Siege) managed by a student esports club of a Moscow-based university. Such clubs combine different levels of esports practice: players who consider themselves amateurs who attend tournaments “for fun”, players seeking professionalization and who have already received the first modest revenue from their activity, as well as players who achieved the status of a cyberathlete through membership in one of the university teams. Thus, student esports represents an ideal environment for exploring the dynamics of changes in the meanings that players put into their activity, as well as for finding elements holding to­gether what could be called “esports culture”. The analysis conducted in the present article is based not so much on the interpretations of the phe­nomenon of esports that exists in the field of game studies, as on two clas­sical sociological traditions: the writings of Erving Goffman and Howard Becker, on the one hand, and those of Max Weber and Norbert Elias on the other. As a result, the process of the “sportification” of the amateur practice of competitive computer games is presented in the article as a change in the actors’ level of reflexivity: towards the game, towards themselves during play, and towards the world around the game, occurring as they move through the stages of the “career of a competitive player”. ­. (shrink)

This article draws on contributions from the Sociology of Science and Technology and Science and Technology Studies, the Sociology of Risk and Uncertainty, and the Sociology of Work, focusing on the transformations of employment regarding expanded automation, robotization and informatization. The new work patterns emerging due to the introduction of software and hardware technologies, which are based on artificial intelligence, algorithms, big data gathering and robotic systems are examined closely. This article attempts to “open the black boxes” (...) of the “black carpet” (robotic sorting system) and examine the reorganization of Greek postal services through the introduction of software and hardware technologies, highlighting a) the high risk of flexible, pluralistic, decentralized (under)employment and aspects of the sub-politics of automation, b) the new forms of work organization and c) aspects of labor precariousness as a result of de-specialization or “flexible expertise” interconnected with new forms of inequalities based on AI, algorithms, big data and robots as reflected in the lived experiences of workers. The above are investigated through primary empirical social research in postal service companies in Greece. (shrink)

Farming computer games enable the ‘desk chair countryside’—millions of people actively engaged in performing farming and rural activities on-line—to co-produce their desired representations of rural life, in line with the parameters set by game creators. In this paper, I critique the narratives and images of farming life expressed in the popular computer game ‘Stardew Valley’. Stardew is based on a scenario whereby players leave a [meaningless] urban desk job to revitalize the family farm. Player are given a choice to invest (...) in the Community Center or to support ‘JojaMart’, a ‘big-box’ development. The farming narrative demonstrates the hallmarks of classical American agrarianism: farming as the basic profession on which other occupations depend, the virtue of hard work, the ‘natural’ and moral nature of agricultural life, and the economic independence of the farmer. More recent discourses of critical agrarianism are noticeably absent, particularly in relation to environmental protection. Conflict is centred on urban-based big business, whereas the farm is represented as a ‘bolt-hole’ or sanctuary from urban life. I argue that embedding issues of big-box development in gameplay enrols players in active reflection and debate on desirable responses, whereas the emphasis on reproducing classical agrarian tropes risks desensitizing game players to contemporary agrarian social and environmental justice issues. However, Stardew Valley gameplay implicitly reinforces the ideal that low input farming is the way that agriculture should be practiced. The success of the game in eliciting on-line debates, and the requirement for active performance and decision-making, demonstrates the specific potential of computer games as mediums for influencing and intervening in ongoing reworking of farming imaginaries, and enabling more critically engagement of the ‘desk chair countryside’ in important global debates. (shrink)

The Handbook of Value combines the forces of the many disciplines involved in value research, by integrating the perspectives of distinguished scholars from the different disciplines. Contributions cover conceptual issues such as definitions of value, psychological and neurological mechanisms underlying value computation and representation, types and taxonomies of value, interindividual and intercultural value differences, the role of value in emotion, moral judgment, decision-making and behavior, as well as case studies of individual varieties of value. The volume contributes to an interdisciplinary (...) dialogue and integration by providing a common reference point that may serve as a resource for disciplinary excellence and interdisciplinary cross-fertilization. (shrink)

Scholars refute the dichotomy of subject and object in the study of technology. Basing on relational ontology and revised empirical study, namely the social historical phenomenology of technology, inspired by post-phenomenology and actor-network theory, this study adopts an approach informed by the genetic phenomenological sociology (Zhang 2017; 2020) of technology, and examines the formation of Apple’s technology in the process of its emergence and diffusion. Unlike post-phenomenology and actor-network theory, which mainly examine the role of technology in the relation (...) of human-technology-world after technology was formed, this study examines technology in the process of its formation. The relationship between the intentionality of humanity and the potentiality of technology is explored empirically and ontologically, thus transcending the dichotomy of subject and object in the examination of technology through the relational ontology indicated in potentiality, intentionality, embodiment, and genealogy, and simultaneously building a foundation for the critique, ethics, and normative theory of media and technology. (shrink)

Co-learning of multiple agents has been studied in co-learning settings, and how do they help, or many different disciplines under various guises. For hamper, learning and cooperation? example, the issue has been tackled by distributed • How do we characterize the process and the artificial intelligence, parallel and distributed com- dynamics of co-learning, conceptually, mathe- puting, cognitive psychology, social psychology, matically, or computationally? game theory (and other areas of mathematical econ- • how do social structures and relations interact omics), (...) class='Hi'>sociology, anthropology, and many other with co-learning of multiple agents? related disciplines. (shrink)

The confrontations of stakeholder visions about agriculture and food production has become a focal point in the public sphere, coinciding with a diversification of agrifood models. This study analyzes the debates stemming from the coexistence of these models, particularly during the initial term of neoliberal-centrist Emmanuel Macron’s presidency in France. Employing collective monitoring from 2017 to 2021, a corpus of 958 online news and blog articles was compiled. Using a computational analysis, we reveal the framings and controversies emerging from (...) this media discourse. The macro-structuring of discourse on model coexistence revolves around scientific, economic and political framings. Coexistence is a complex of debates based on specific frames associated with specific arenas and actor configurations: growth of organic agriculture, transformations of agrifood systems, sciences of production and impacts, livestock and meat diet controversies, agroecological innovations, CAP reform criticism, discourse of peasant agriculture and State-Profession _co-gestion_. Employing global sentiment analysis and focusing on salient controversies, namely EGAlim law, pesticide regulations, and agribashing, we show the shift from conciliation to a hardening of debates. Finally, we discuss the causes and consequences of this trend. The political will to support the transition of agriculture remains influenced by the _co-gestion_ system, an inherited configuration of decision-makers instrumental in the agricultural modernization. As a consequence, significant agricultural challenges, particularly highlighted in the scientific macro-frame, persist unresolved. This lock-in of the agrifood system is based on defensive strategies that challenge the democratic debate about food and agricultural practices. (shrink)

The notion of a “work-around” is a much-used resource within the sociology of technology, reflecting an interest in showing how users are not simply shaped by technologies but how they, through adopting artifacts in ways other than those for which they were designed or intended, are also shapers of technology. Using the language and concerns of actor-network theory and focusing on recent developments within computer-systems implementation, this article seeks to explore and add to our understanding of work-arounds through unpacking (...) the work of one group of “users” as they attempt to tailor and roll out a system within the administration departments of their university. This article argues that paying attention to the various networks that lead to and from work-arounds can improve our understanding of the way users both shape and are shaped by technologies. Focusing on work-arounds as “networks in place” also allows us to highlight some of their contingencies; for example, the other actors and entities on which these depend and are constituted. (shrink)

Science is studied in very different ways by historians, philosophers, psychologists, and sociologists. Not only do researchers from different fields apply markedly different methods, they also tend to focus on apparently disparate aspects of science. At the farthest extremes, we find on one side some philosophers attempting logical analyses of scientific knowledge, and on the other some sociologists maintaining that all knowledge is socially constructed. This paper is an attempt to view history, philosophy, psychology, and sociology of science from (...) a unified perspective. (shrink)

For centuries, philosophers studying the great mysteries of human subjectivity have focused on the mind/body problem and the difference between human beings and animals. Now a new ontological question takes center stage: to what extent can a manufactured object (a computer) exhibit qualities of mind? There have been passionate exchanges between those who believe that a "manufactured mind" is possible and those who believe that mind cannot exist except as a living, socially situated, embodied person. As with earlier arguments, this (...) one shows no sign of being resolved. But the fight over computationalism (the belief that all mental processes can be generated by computer programs) has immediate, "hard" consequences for technological research and development, social- and cognitive-science methodology, and for our everyday experience of the world and ourselves. This special issue consists of papers presented at a conference of the same title held at the Center for Cognitive Science at the University at Buffalo, 22-23 May 1990. The authors come from a variety of disciplinary backgrounds (Computer Science, Linguistics, Philosophy, Psychology, Sociology, etc.), and bring a wide variety of perspectives to the topic. (shrink)

Can machines simulate, express or even have emotions? Is it a good to build such machines? How do humans react emotionally to them and how should such devices be treated from a moral point of view? This volume addresses these and related questions by bringing together perspectives from affective computing and emotional human-machine interaction, combining technological approaches with those from the humanities and social sciences. It thus relates disciplines such as philosophy, computer science, technology, psychology, sociology, design, and art. (...) The volume offers readers interested in the phenomenon of emotional machines new perspectives from a variety of disciplines and addresses fundamental questions that will become pressing in the foreseeable future as emotional machines increasingly populate our everyday lives. (shrink)

Though full of promise, Big Data research success is often contingent on access to the newest, most advanced, and often expensive hardware systems and the expertise needed to build and implement such systems. As a result, the accessibility of the growing number of Big Data-capable technology solutions has often been the preserve of business analytics. Pay as you store/process services like Amazon Web Services have opened up possibilities for smaller scale Big Data projects. There is high demand for this type (...) of research in the digital humanities and digital sociology, for example. However, scholars are increasingly finding themselves at a disadvantage as available data sets of interest continue to grow in size and complexity. Without a large amount of funding or the ability to form interdisciplinary partnerships, only a select few find themselves in the position to successfully engage Big Data. This article identifies several notable and popular Big Data technologies typically implemented using large and extremely powerful cloud-based systems and investigates the feasibility and utility of development of Big Data analytics systems implemented using low-cost commodity hardware in basic and easily maintainable configurations for use within academic social research. Through our investigation and experimental case study, we found that not only are solutions like Cloudera’s Hadoop feasible, but that they can also enable robust, deep, and fruitful research outcomes in a variety of use-case scenarios across the disciplines. (shrink)

In what follows I propose to bring out certain methodological properties of projects of modelling the tacit realm that bear on the kinds of modelling done in connection with scientific cognition by computer as well as by ethnomethodological sociologists, both of whom must make some claims about the tacit in the course of their efforts to model cognition. The same issues, I will suggest, bear on the project of a cognitive psychology of science as well.

The authors attempt to speculatively reconstruct the concept of the “So­viet computer game”. They propose to consider gaming practices associ­ated with computers as a derivative of the accepted ideological guidelines that accompany the Soviet project of machine modernization. Within this framework, the concept of the Soviet computer game appears as an unre­alized historical alternative to the normative game design that has devel­oped in countries with market economies. Despite the industry — or the electronic entertainment market — not having had the (...) time to be properly established in the USSR, there were a number of discursive attitudes re­garding the game as such, and the gaming function of computing devices in particular. Even early Soviet pedagogical theories assumed that “playing like a Soviet” involves performing activities structurally similar to labor, where the player becomes part of production. Later, cybernetic discourse, through game theory, indicated the possibility of formalizing any prag­matic activity as a game model; with the advancement of programming, the pragmatics of digital gaming as a way of educating and solving utili­tarian tasks was developed. Based on the memoir archive of Soviet cyber­netics, and publications in the late-Soviet press, the authors demonstrate that the Soviet computer game was not seen an entertainment product, but a representative model for solving problems in an algorithmic form. Thus, the article is not about specific games that could be called Soviet, but about the logic that guided and set the tone for the interpretation of certain computer-game phenomena in the USSR. (shrink)

One recursively enumerable real α dominates another one β if there are nondecreasing recursive sequences of rational numbers (a[n] : n ∈ ω) approximating α and (b[n] : n ∈ ω) approximating β and a positive constant C such that for all n, C(α − a[n]) ≥ (β − b[n]). See [R. M. Solovay, Draft of a Paper (or Series of Papers) on Chaitin’s Work, manuscript, IBM Thomas J. Watson Research Center, Yorktown Heights, NY, 1974, p. 215] and [G. J. (...) Chaitin, IBM J. Res. Develop., 21 (1977), pp. 350–359]. We show that every recursively enumerable random real dominates all other recursively enumerable reals. We conclude that the recursively enumerable random reals are exactly the Ω-numbers [G. J. Chaitin, IBM J. Res. Develop., 21 (1977), pp. 350–359]. Second, we show that the sets in a universal Martin-Lof test for randomness have random measure, and every recursively enumerable random number is the sum of the measures represented in a universal Martin-Lof test. (shrink)

Focusing on the history of prehistoric archaeology in the 20th century, this papers shows (1) that statistical multidimensional analyses were carried out by a new kind of actors who challenged the previous common language shared by prehistorians. This fundamental change was important, considering that (2) language is a fundamental point for the epistemology of archaeology. However, a comparison of multidimensional analyses applications over time shall make clear that (3) the differences are mostly a generational matter: the transmission processes between them (...) will be addressed. (shrink)