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  1. Semiotic Systems, Computers, and the Mind: How Cognition Could Be Computing.William J. Rapaport - 2012 - International Journal of Signs and Semiotic Systems 2 (1):32-71.
    In this reply to James H. Fetzer’s “Minds and Machines: Limits to Simulations of Thought and Action”, I argue that computationalism should not be the view that (human) cognition is computation, but that it should be the view that cognition (simpliciter) is computable. It follows that computationalism can be true even if (human) cognition is not the result of computations in the brain. I also argue that, if semiotic systems are systems that interpret signs, then both humans and computers are (...)
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  • Betting your life on an algorithm.Daniel C. Dennett - 1990 - Behavioral and Brain Sciences 13 (4):660-661.
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  • Is mathematical insight algorithmic?Martin Davis - 1990 - Behavioral and Brain Sciences 13 (4):659-660.
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  • Simulating convesations: The communion game. [REVIEW]Stephen J. Cowley & Karl MacDorman - 1995 - AI and Society 9 (2-3):116-137.
    In their enthusiasm for programming, computational linguists have tended to lose sight of what humansdo. They have conceived of conversations as independent of sound and the bodies that produce it. Thus, implicit in their simulations is the assumption that the text is the essence of talk. In fact, unlike electronic mail, conversations are acoustic events. During everyday talk, human understanding depends both on the words spoken and on fine interpersonal vocal coordination. When utterances are analysed into sequences of word-based forms, (...)
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  • An Agent View on Law.Heesen Constantijn, Homburg Vincent & Offereins Margriet - 1997 - Artificial Intelligence and Law 5 (4):323-340.
    Problem solving by autonomous, interacting computersystems has attracted much attention in the ArtificialIntelligence community. These autonomous computersystems, called agents, provide a promisingperspective for the legal knowledge-based systemscommunity, as legal problem solving often involvesdistributed problem solving capabilities that gobeyond the capabilities of individual knowledge-basedsystems.We focus on the coordination of agents andcommunication between agents by proposing a model ofcommunication between various agents using modellingtechniques such as communication primitives and statetransition diagrams. Our representation concerns theDutch Algemene Wet Bestuursrecht (AWB; GeneralAct on Administrative Law). (...)
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  • The person-machine confrontation: Investigations into the pragmatics of dialogism. [REVIEW]Colin T. Schmidt - 1996 - AI and Society 10 (3-4):315-332.
    Erroneously attributing propositional attitudes (desires, beliefs...) to computational artefacts has become internationally commonplace in the public arena, especially amongst the new generation of non-initiated users. Technology for rendering machines “user-friendly” is often inspired by interpersonal human communication. This calls forth designers to conceptualise a major component of human intelligence: the sense ofcommunicability, and its logical consequences. The inherentincommunicability of machines subsequently causes a shift in design strategy. Though cataloguing components of bouts between person and machine with Speech Act Theory has (...)
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  • Computing the thinkable.David J. Chalmers - 1990 - Behavioral and Brain Sciences 13 (4):658-659.
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  • Lucas revived? An undefended flank.Jeremy Butterfield - 1990 - Behavioral and Brain Sciences 13 (4):658-658.
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  • On communication and computation.Paul Bohan Broderick - 2004 - Minds and Machines 14 (1):1-19.
    Comparing technical notions of communication and computation leads to a surprising result, these notions are often not conceptually distinguishable. This paper will show how the two notions may fail to be clearly distinguished from each other. The most famous models of computation and communication, Turing Machines and (Shannon-style) information sources, are considered. The most significant difference lies in the types of state-transitions allowed in each sort of model. This difference does not correspond to the difference that would be expected after (...)
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  • Third Culture: Cybersemiotic’s Inclusion of a Biosemiotic Theory of Mind. [REVIEW]Søren Brier - 2005 - Axiomathes 15 (2):211-228.
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  • Third culture: Cybersemiotic's inclusion of a biosemiotic theory of mind. [REVIEW]Søren Brier - 2006 - Axiomathes 16 (4):211-228.
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  • AI and the Turing model of computation.Thomas M. Breuel - 1990 - Behavioral and Brain Sciences 13 (4):657-657.
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  • Algorithms and physical laws.Franklin Boyle - 1990 - Behavioral and Brain Sciences 13 (4):656-657.
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  • Philosophic sur ordinateur ou intelligence artificielle.Gilbert Boss & Maryvonne Longeart - 1993 - Dialogue 32 (2):271-.
    L'informatique se définissant comme le traitement rationnel de l'information par machine automatique et l'intelligence se caractérisant par une même capacité de traitement rationnel, il était inévitable que l'on songe à associer l'intelligence au traitement automatique de l'information. C'est ce qu'a fait John McCarthy en forgeant le terme d'intelligence artificielle. Par «intelligence artificielle» on peut vouloir exprimer l'ambition de1. Recréer, transformer ou développer l'intelligence artificiellement2. Simuler l'intelligence en la reconstituant dans des modéles imitant certains aspects de notre intelligence dite naturelle.
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  • On “seeing” the truth of the Gödel sentence.George Boolos - 1990 - Behavioral and Brain Sciences 13 (4):655-656.
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  • Book Reviews : Thinking through Technology: The Path between Engineering and Philosophy, by Carl Mitcham. Chicago: University of Chicago Press, 1994, 394 pp. $47.50 (cloth); $17.95 (paper. [REVIEW]Pablo J. Boczkowski - 1996 - Science, Technology and Human Values 21 (3):366-369.
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  • The Politics of Technology: On Bringing Social Theory into Technological Design.Marc Berg - 1998 - Science, Technology and Human Values 23 (4):456-490.
    New approaches in the design of information technologies for work practices are drawing upon theories from sociology, anthropology, and social philosophy. Under the labels of Computer-Supported Cooperative Work and Participatory Design, work is done to "neturn" to design insights gained in the social study of the use of technological artifacts. Aftera brief introduction of these developments, the article zooms in on those authors for whom "better" technologies refer to hopes for more democratic and more worker-oriented workplaces. How do these approaches (...)
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  • Computers and Carburetors: the New Cognitive Dissonance.Naomi S. Baron - 1988 - Bulletin of Science, Technology and Society 8 (4):390-396.
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  • Pragmatic Action.Richard Alterman, Roland Zito-Wolf & Tamitha Carpenter - 1998 - Cognitive Science 22 (1):53-105.
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  • Unplanned effects of intelligent agents on Internet use: a social informatics approach. [REVIEW]Alexander Serenko, Umar Ruhi & Mihail Cocosila - 2007 - AI and Society 21 (1-2):141-166.
    This paper instigates a discourse on the unplanned effects of intelligent agents in the context of their use on the Internet. By utilizing a social informatics framework as a lens of analysis, the study identifies several unanticipated consequences of using intelligent agents for information- and commerce-based tasks on the Internet. The effects include those that transpire over time at the organizational level, such as e-commerce transformation, operational encumbrance and security overload, as well as those that emerge on a cultural level, (...)
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  • Creativity: Self-Referential Mistaking, Not Negating. [REVIEW]Victoria N. Alexander - 2013 - Biosemiotics 6 (2):253-272.
    In C. S. Peirce, as well as in the work of many biosemioticians, the semiotic object is sometimes described as a physical “object” with material properties and sometimes described as an “ideal object” or mental representation. I argue that to the extent that we can avoid these types of characterizations we will have a more scientific definition of sign use and will be able to better integrate the various fields that interact with biosemiotics. In an effort to end Cartesian dualism (...)
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  • Computers Are Syntax All the Way Down: Reply to Bozşahin.William J. Rapaport - 2019 - Minds and Machines 29 (2):227-237.
    A response to a recent critique by Cem Bozşahin of the theory of syntactic semantics as it applies to Helen Keller, and some applications of the theory to the philosophy of computer science.
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  • Introduction to: Norms, Logics and Information Systems: New Studies on Deontic Logic and Computer Science.Paul McNamara & Henry Prakken - 1999 - In Henry Prakken & Paul McNamara (eds.), Norms, Logics and Information Systems: New Studies on Deontic Logic and Computer Science. Amsterdam/Oxford/Tokyo/Washington DC: IOS Press. pp. 1-14.
    (See also the separate entry for the volume itself.) This introduction has three parts. The first providing an overview of some main lines of research in deontic logic: the emergence of SDL, Chisholm's paradox and the development of dyadic deontic logics, various other puzzles/challenges and areas of development, along with philosophical applications. The second part focus on some actual and potential fruitful interactions between deontic logic, computer science and artificial intelligence. These include applications of deontic logic to AI knowledge representation (...)
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  • Minds beyond brains and algorithms.Jan M. Zytkow - 1990 - Behavioral and Brain Sciences 13 (4):691-692.
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  • Waiting for Aπαταω: 250 Years Later.Victoria Wu & Vuk Uskoković - 2019 - Foundations of Science 24 (4):617-640.
    Scientific articles have been traditionally written from single points of view. In contrast, new knowledge is derived strictly from a dialectical process, through interbreeding of partially disparate perspectives. Dialogues, therefore, present a more veritable form for representing the process behind knowledge creation. They are also less prone to dogmatically disseminate ideas than monologues, alongside raising awareness of the necessity for discussion and challenging of differing points of view, through which knowledge evolves. Here we celebrate 250 years since the discovery of (...)
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  • Human factors in information technology: The socio-organisational aspects of expert systems design. [REVIEW]Evans E. Woherem - 1991 - AI and Society 5 (1):18-33.
    This paper looks beyond the mostly technical and business issues that currently inform the design of knowledge-based systems (e.g., expert systems) to point out that there is also a social and organisational (a socio-organisational) dimension to the issues affecting the design decisions of expert systems and other information technologies. It argues that whilst technical and business issues are considered before the design of Expert Systems, that socio-organisational issues determine the acceptance and long-run utility of the technology after it has been (...)
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  • Citizen virtues in a technological order.Langdon Winner - 1992 - Inquiry: An Interdisciplinary Journal of Philosophy 35 (3-4):341 – 361.
    Contemporary philosophical discussions about technology mirror a profound distance between technical practice and moral thought. I consider the origins of this gap as reflected in both ancient and modern writings. The philosopher's version of technocracy ? rushing forward with the analysis of moral categories in the hope that policy?makers or the public will find them decisive ? does nothing to bridge this gap and is, therefore, a forlorn strategy. The trouble is not that we lack good arguments and theories, but (...)
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  • Cognition, attunement and modularity.Terry Winograd - 1987 - Mind and Language 2 (1):97-103.
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  • Computer Literacy, Technique, and Gender.Roy Wilson - 1998 - Bulletin of Science, Technology and Society 18 (2):109-114.
    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 (...)
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  • Computability, consciousness, and algorithms.Robert Wilensky - 1990 - Behavioral and Brain Sciences 13 (4):690-691.
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  • Penrose's grand unified mystery.David Waltz & James Pustejovsky - 1990 - Behavioral and Brain Sciences 13 (4):688-690.
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  • Situated action: A symbolic interpretation.A. H. Vera & Herbert A. Simon - 1993 - Cognitive Science 17 (1):7-48.
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  • From expert systems to knowledge-based companies: How the AI industry negotiated a market for knowledge.Janet Vaux - 2001 - Social Epistemology 15 (3):231 – 245.
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  • Between Turing and quantum mechanics there is body to be found.Francisco J. Varela - 1990 - Behavioral and Brain Sciences 13 (4):687-688.
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  • The (Im)Possible Grasp of Networked Realities: Disclosing Gregory Bateson’s Work for the Study of Technology.Yoni Van Den Eede - 2016 - Human Studies 39 (4):601-620.
    In a world that is becoming more ‘networked’ than ever, especially on the personal-everyday level—with for example digital media pervading our lives and the Internet of Things now being on the rise—we need to increasingly account for ‘networked realities’. But are we as human beings actually well-equipped enough, epistemologically speaking, to do so? Multiple approaches within the philosophy of technology suggest our usage of technologies to be in the first instance oriented towards efficiency and the achievement of goals. We thereby (...)
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  • Major Challenges for the Modern Chemistry in Particular and Science in General.Vuk Uskoković - 2010 - Foundations of Science 15 (4):303-344.
    In the past few hundred years, science has exerted an enormous influence on the way the world appears to human observers. Despite phenomenal accomplishments of science, science nowadays faces numerous challenges that threaten its continued success. As scientific inventions become embedded within human societies, the challenges are further multiplied. In this critical review, some of the critical challenges for the field of modern chemistry are discussed, including: (a) interlinking theoretical knowledge and experimental approaches; (b) implementing the principles of sustainability at (...)
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  • On Holism and The Contextual Character of Natural Qualities.Vuk Uskoković - 2012 - World Futures 68 (6):406 - 429.
    Presented is a discourse on the contextual nature of physical qualities. The realistic and observational contexts in which a system exists are demonstrated as equally involved in defining its qualities. Each quality could be consequently considered as natural and experiential at the same time. The subsequently proposed thesis of the contextual co-definition of natural/experiential qualities in the relationship between the human mind and Nature is shown to possess numerous favorable ethical and aesthetical implications. The contextual nature of experiential qualities is (...)
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  • On Science of Metaphors and the Nature of Systemic Reasoning.Vuk Uskokovic - 2009 - World Futures 65 (4):241-269.
    Scientific method is presented not as a means for investigating a true and objective character of universal reality, but as a metaphorical tool applied for mutual co-ordination of experiences. By acknowledging the co-orientational and metaphoric roots of science, religion, arts, and ordinary linguistic communications alike, potential for their fruitful interdependent application becomes apparent. References to the paradigms of constructivism and objectivism are drawn in parallel in outlining the tracks along which the proposed concept of co-creation of experiential qualities is arrived (...)
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  • On the light doves and learning on mistakes.Vuk Uskoković - 2009 - Axiomathes 19 (1):17-50.
    Each type of learning is proposed as being a three-stage process, composed of: (i) recognition of a perceptual situation and performance of an action corresponding thereto; (ii) observation of a deviation of the action result from an expected outcome; (iii) re-arrangement of the conceptual framework of reasoning to meaningfully assimilate the observed deviation. In order to evaluate a general, systemic significance of the concept of learning proposed hereby, the latter is assessed from perspectives that correspond to diverse levels of organizational (...)
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  • The figure and ground of engagement.Phil Turner - 2014 - AI and Society 29 (1):33-43.
    Engagement is important to the success of applications, systems and artefacts as diverse as robotics, pedagogy, games, interactive installations, and virtual reality applications. Yet engagement has proved to be remarkably difficult to define as it can take many forms, so many that it is difficult to isolate what these different instantiations have in common. Instead of pursuing an empirical perspective, the human side of engagement, namely, involvement is considered from a broadly Heideggerian perspective. As Heidegger has a deserved reputation for (...)
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  • Democratizing Science: A Humble Proposal.Joseph Turner - 1990 - Science, Technology and Human Values 15 (3):336-359.
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  • Exactly which emperor is Penrose talking about?John K. Tsotsos - 1990 - Behavioral and Brain Sciences 13 (4):686-687.
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  • Culture of sedimentation in the human–technology interaction.Arun Kumar Tripathi - 2016 - AI and Society 31 (2):233-242.
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  • The thinker dreams of being an emperor.M. M. Taylor - 1990 - Behavioral and Brain Sciences 13 (4):685-686.
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  • Representing practice in cognitive science.LucyA Suchman - 1988 - Human Studies 11 (2-3):305 - 325.
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  • Introduction: a cartography of contemporary cognitive social theory.Piet Strydom - 2007 - European Journal of Social Theory 10 (3):339-356.
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  • And then a miracle happens….Keith E. Stanovich - 1990 - Behavioral and Brain Sciences 13 (4):684-685.
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  • Embodying emotions: What emotion theorists can learn from simulations of emotions. [REVIEW]Matthew P. Spackman & David Miller - 2008 - Minds and Machines 18 (3):357-372.
    Cognitively-oriented theories have dominated the recent history of the study of emotion. However, critics of this perspective suggest the role of the body in the experience of emotion is largely ignored by cognitive theorists. As an alternative to the cognitive perspective, critics are increasingly pointing to William James’ theory, which emphasized somatic aspects of emotions. This emerging emphasis on the embodiment of emotions is shared by those in the field of AI attempting to model human emotions. Behavior-based agents in AI (...)
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  • The pretender's new clothes.Tim Smithers - 1990 - Behavioral and Brain Sciences 13 (4):683-684.
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  • What is context?Benny Shanon - 1990 - Journal for the Theory of Social Behaviour 20 (2):157–166.
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