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  1. The Computational Modeling of Inferential and Referential Competence.Fabrizio Calzavarini & Antonio Lieto - 2018 - In AISC 2018 Proceedings.
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  2. A Case for Machine Ethics in Modeling Human-Level Intelligent Agents.Robert James M. Boyles - 2018 - Kritike 12 (1):182–200.
    This paper focuses on the research field of machine ethics and how it relates to a technological singularity—a hypothesized, futuristic event where artificial machines will have greater-than-human-level intelligence. One problem related to the singularity centers on the issue of whether human values and norms would survive such an event. To somehow ensure this, a number of artificial intelligence researchers have opted to focus on the development of artificial moral agents, which refers to machines capable of moral reasoning, judgment, and decision-making. (...)
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  3. Phantom Body as Bodily Self-Consciousness.Przemysław Nowakowski - 2011 - Avant: Trends in Interdisciplinary Studies 2 (1):135–149.
    In the article, I propose that the body phantom is a phenomenal and functional model of one’s own body. This model has two aspects. On the one hand, it functions as a tacit sensory representation of the body that is at the same time related to the motor aspects of body functioning. On the other hand, it also has a phenomenal aspect as it constitutes the content of conscious bodily experience. This sort of tacit, functional and sensory model is related (...)
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  4. Coalescing Minds: Brain Uploading-Related Group Mind Scenarios.Kaj Sotala & Harri Valpola - 2012 - International Journal of Machine Consciousness 4 (01):293-312.
    We present a hypothetical process of mind coalescence, where arti cial connections are created between two or more brains. This might simply allow for an improved form of communication. At the other extreme, it might merge the minds into one in a process that can be thought of as a reverse split-brain operation. We propose that one way mind coalescence might happen is via an exocortex, a prosthetic extension of the biological brain which integrates with the brain as seamlessly as (...)
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  5. Toward an Explanatory Framework for Mental Ownership.Timothy Lane - 2012 - Phenomenology and the Cognitive Sciences 11 (2):251-286.
    Philosophical and scientific investigations of the proprietary aspects of self—mineness or mental ownership—often presuppose that searching for unique constituents is a productive strategy. But there seem not to be any unique constituents. Here, it is argued that the “self-specificity” paradigm, which emphasizes subjective perspective, fails. Previously, it was argued that mode of access also fails to explain mineness. Fortunately, these failures, when leavened by other findings (those that exhibit varieties and vagaries of mineness), intimate an approach better suited to searching (...)
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  6. It Does So: Review of Jerry Fodor, The Mind Doesn't Work That Way. [REVIEW]Eric Dietrich - 2001 - AI Magazine 22 (4):121-24.
    Objections to AI and computational cognitive science are myriad. Accordingly, there are many different reasons for these attacks. But all of them come down to one simple observation: humans seem a lot smarter that computers -- not just smarter as in Einstein was smarter than I, or I am smarter than a chimpanzee, but more like I am smarter than a pencil sharpener. To many, computation seems like the wrong paradigm for studying the mind. (Actually, I think there are deeper (...)
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  7. Vindication of the Rights of Machine.Kris Rhodes - manuscript
    In this paper, I argue that certain Machines can have rights independently of whether they are sentient, or conscious, or whatever you might call it.
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  8. Posthumanism.Neil Badmington (ed.) - 2000 - Palgrave.
    What is posthumanism and why does it matter? This book offers an introduction to the ways in which humanism's belief in the natural supremacy of the Family of Man has been called into question at different moments and from different theoretical positions. What is the relationship between posthumanism and technology? Can posthumanism have a politics—postcolonial or feminist? Are postmodernism and poststructuralism posthumanist? What happens when critical theory meets Hollywood cinema? What links posthumanism to science fiction. Posthumanism addresses these and other (...)
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  9. Ontology for Human Talk and Thought (Not Robotics).Maria Bittner - 2006 - Theoretical Linguistics 32 (1):47-56.
    Hamm, Kamp, and van Lambalgen 2006 (hereafter HLK) propose to relate NL discourse to cognitive representations that also deal with world knowledge, planning, belief revision, etc. Surprisingly, to represent human cognition they use an event calculus "which has found applications in robotics". This comment argues that the robotics-based theory of HLK attributes too much to world knowledge and not enough to the ontology, centering, and other universals of NL semantics. It is also too Anglo-centric to generalize to languages of other (...)
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Computer Vision
  1. Machine Learning and Irresponsible Inference: Morally Assessing the Training Data for Image Recognition Systems.Owen C. King - 2019 - In Matteo Vincenzo D'Alfonso & Don Berkich (eds.), On the Cognitive, Ethical, and Scientific Dimensions of Artificial Intelligence. Springer Verlag. pp. 265-282.
    Just as humans can draw conclusions responsibly or irresponsibly, so too can computers. Machine learning systems that have been trained on data sets that include irresponsible judgments are likely to yield irresponsible predictions as outputs. In this paper I focus on a particular kind of inference a computer system might make: identification of the intentions with which a person acted on the basis of photographic evidence. Such inferences are liable to be morally objectionable, because of a way in which they (...)
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Cybernetics
  1. Resonances of the Unknown.Claudia Westermann - 2011 - Kybernetes 40 (7/8):1189-1195.
    Purpose – The purpose of this paper is to discuss the relevance of second-order cybernetics for a theory of architectural design and related discourse. -/- Design/methodology/approach – First, the relation of architectural design to the concept of “poiesis” is clarified. Subsequently, selected findings of Gotthard Günther are revisited and related to an architectural poetics. The last part of the paper consists of revisiting ideas mentioned previously, however, on the level of a discourse that has incorporated the ideas and offers a (...)
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  2. La réalité du champ axiologique : cybernétique et pensée de l'information chez Raymond Ruyer [The reality of the axiological field: Cybernetics and the thinking of information in Raymond Ruyer].Philippe Gagnon - 2018 - Louvain-la-Neuve: Chromatika.
    Description courte (Électre, 2019) : Une étude d'un des principaux axes de réflexion du philosophe des sciences et de la nature Raymond Ruyer (1902-1987). À la lumière des découvertes de l'embryogenèse et en s'appuyant par ailleurs sur la théorie de l'information, il proposa une interprétation des concepts unificateurs de la cybernétique mécaniste. -/- Short Descriptor (Electre 2019): A study of one of the main axes of reflection of the French philosopher of science and of nature Raymond Ruyer (1902-1987). Relying on (...)
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  3. On Delight: Thoughts for Tomorrow.Claudia Westermann - 2018 - Technoetic Arts 16 (1):43-51.
    The article introduces the problematics of the classical two-valued logic on which Western thought is generally based, outlining that under the conditions of its logical assumptions the subject I is situated in a world that it cannot address. In this context, the article outlines a short history of cybernetics and the shift from first- to second-order cybernetics. The basic principles of Gordon Pask’s 1976 Conversation Theory are introduced. It is argued that this second-order theory grants agency to others through a (...)
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  4. Modelo de Aprendizaje Biocibernetico BLM.Cesar Rommel Salas - 2017 - Computers and Society.
    La educación en el periodo digital en el que vivimos está alcanzando retos nunca antes vistos, precedidos por fenómenos que involucran no solamente a unidades sociales tradicionales, sino también a las nuevas comunidades virtuales; innovar es difícil, es un reto, no obstante, hay que pensar en nuevos métodos de enseñanza que impacten a la actual generación de estudiantes, los mismos que llegan con nuevas necesidades y expectativas. La construcción del conocimiento desde el sujeto y el mundo virtual que lo rodea, (...)
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  5. Antropología de la Informática Social: Teoría de la Convergencia Tecno-Social.Cesar Rommel Salas - 2016 - Computers and Society.
    El humanismo tradicional del siglo XX, inspirado por la cultura del libro, se distanció sistemáticamente de la nueva sociedad de la información digital; el Internet y las herramientas de procesamiento de información revolucionaron el mundo, la sociedad en el transcurso de este periodo desarrolló ciertas características adaptativas, basadas en la convivencia (Humano – Maquina), esta transformación establece su base en el impacto de tres segmentos tecnológicos: Los dispositivos, las aplicaciones y la infraestructura de comunicación social, las cuales están envueltas en (...)
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  6. Two Theoretical Dimensions of the Cyber Hate Crime.Cesar Rommel Salas - 2017 - Social Research 1 (01):1-4.
    The impact and relationship between technologies and society establish the development of certain adaptive models, based on coexistence (Human-information-Machine), as well as several behavioral and cognitive changes of the human being, and new models of influence and social control through ubiquitous communication. which is the basis of a new social units called "virtual communities". The rupture of social norms that accompanies rapid social change, and subsequently the appearance of sub-cultural values establishes gaining status of participation in criminal activities, the components (...)
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  7. Cybernetic Revolution and Forthcoming Technological Transformations (The Development of the Leading Technologies in the Light of the Theory of Production Revolutions).Leonid Grinin & Anton Grinin - 2015 - In Leonid Grinin & Andrey Korotayev (eds.), Evolution: From Big Bang to Nanorobots. Volgograd,Russia: Uchitel Publishing House. pp. 251-330.
    The article analyzes the technological shifts which took place in the second half of the 20th and early 21st centuries and forecasts the main shifts in the next half a century. On the basis of the analysis of the latest achievements in inno-vative technological directions and also on the basis of the opportunities pro-vided by the theory of production revolutions the authors present a detailed analysis of the latest production revolution which is denoted as ‘Сybernetic’. The authors give some forecasts (...)
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  8. Глобальное старение населения, шестой технологический уклад и мировая финансовая система.Leonid Grinin & Andrey Korotayev - 2015 - In Leonid Grinin, Andrey Korotayev & V. Bondarenko (eds.), Кондратьевские волны: наследие и современность. Volgograd,Russia: Uchitel Publishing House. pp. 107-132.
    Процесс старения населения захватил не только развитые страны, но и многие развивающиеся, превратившись в глобальный. Представляется, что он будет одним из самых важных процессов в ближайшие десятилетия, определяющим облик общества буду-щего и направление развития технологий. В статье дается анализ некоторых параметров процесса старения населения, показыва-ются его важные следствия для общества и мира в целом. На ос-новании этого анализа делается вывод о том, что грядущий тех-нологический переворот (обозначаемый авторами как завершаю-щая фаза кибернетической революции) и предполагаемый шестой технологический уклад, связанный с наступающей (...)
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  9. Should Knowledge of Management Be Organized as Methods or as Theories?Stuart Umpleby - 2002 - Janus Head 5 (1).
    The philosophy of science has traditionally assumed that knowledge should be organized in the form of theories. From theories propositions can be deduced that can be tested in experiments. Most propositions deduced from theories take the form of if-then statements. For example, if variable A increases, what happens to variable B, assuming that all other variables are held constant? However, an alternative way of organizing knowledge, in the form of producer-product relationships, was proposed by the philosopher E.A. Singer, Jr. and (...)
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  10. Cyberpunk Entre Literatura E Matemática: Processos Comunicacionais da Literatura Massiva Na Crítica Científica da Realidade.Rafael Duarte Oliveira Venancio - 2013 - Conexão 12 (23).
    O presente artigo busca definir o movimento literário cyberpunk a partir da sua influência teórica vinda do campo da matemática. Utilizando a teorização interna ao movimento, centrada em Rudy Rucker, o objetivo aqui é entender como os campos da análise e dos fundamentos da matemática criam uma importante distinção entre os cyberpunks e as demais distopias literárias. Com isso, há a pressuposição de um movimento de uma crítica sociomatemática feita pelos cyberpunks cujos conceitos matemáticos tornam possível criticar o tempo presente, (...)
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  11. From Human to Artificial Cognition and Back: New Perspectives on Cognitively Inspired AI Systems.Antonio Lieto & Daniele Radicioni - 2016 - Cognitive Systems Research 39 (c):1-3.
    We overview the main historical and technological elements characterising the rise, the fall and the recent renaissance of the cognitive approaches to Artificial Intelligence and provide some insights and suggestions about the future directions and challenges that, in our opinion, this discipline needs to face in the next years.
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  12. Utopias and Dystopias as Cybernetic Information Systems: Envisioning the Posthuman Neuropolity.Matthew E. Gladden - 2015 - Creatio Fantastica (3 (50)).
    While it is possible to understand utopias and dystopias as particular kinds of sociopolitical systems, in this text we argue that utopias and dystopias can also be understood as particular kinds of information systems in which data is received, stored, generated, processed, and transmitted by the minds of human beings that constitute the system’s ‘nodes’ and which are connected according to specific network topologies. We begin by formulating a model of cybernetic information-processing properties that characterize utopias and dystopias. It is (...)
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  13. Cartesianism, the Embodied Mind, and the Future of Cognitive Research.Philippe Gagnon - 2015 - In Dirk Evers, Michael Fuller, Anne Runehov & Knut-Willy Sæther (eds.), Do Emotions Shape the World? Biennial Yearbook of the European Society for the Study of Science and Theology 2015-2016. Martin-Luther-Universität. pp. 225-244.
    In his oft-cited book Descartes' Error, Antonio Damasio claims that Descartes is responsible for having stifled the development of modern neurobiological science, in particular as regards the objective study of the physical and physiological bases for emotive and socially-conditioned cognition. Most of Damasio’s book would stand without reference to Descartes, so it is intriguing to ask why he launched this attack. What seems to fuel such claims is a desire for a more holistic understanding of the mind, the brain and (...)
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  14. Ernst von Glasersfeld's Limerick.S. Umpleby - 2007 - Constructivist Foundations 2 (2-3):146-146.
    First paragraph: In the 1980s I went through a phase of writing limericks during idle moments when I lacked something to read. The result was a set of 27 limericks about cybernetics (Umpleby 1992). I occasionally use the limericks in class to restate a theoretical point. Limericks bring a smile and demonstrate that cybernetics can be approached in a variety of ways. Below are three limericks from this collection. The last was written by Ernst von Glasersfeld. It seems Ernst believed (...)
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  15. Social Learning Through Process Improvements in Russia.Tatiana Medvedeva & Stuart Umpleby - 2002 - In Robert Trappl (ed.), Cybernetics and Systems. Austrian Society for Cybernetics Studies. pp. 2.
    The Russian people are struggling to learn how to create a democracy and a market economy. This paper reviews the results of reform efforts to date and what the Russian people are learning as indicated by changes in answers to public opinion surveys. As a way to continue the social learning process in Russia we suggest the widespread use of process improvement methods in organizations. This paper describes some Russian experiences in using process improvement methods and proposes a strategy for (...)
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  16. Should Knowledge of Management Be Organized as Theories or as Methods?Stuart Umpleby - 2002 - In Robert Trappl (ed.), Cybernetics and Systems: An International Journal. Austrian Society for Cybernetics Studies. pp. 2--492.
    The philosophy of science has traditionally assumed that knowledge should be organized in the form of theories. From theories propositions can be deduced that can be tested in experiments. Most propositions deduced from theories take the form of if-then statements. For example, if variable A increases, what happens to variable B, assuming that all other variables are held constant? However, an alternative way of organizing knowledge, in the form of producer-product relationships, was proposed by the philosopher E.A. Singer, Jr. and (...)
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  17. The Discovery of the Artificial: Some Protocybernetic Developments 1930-1940.Roberto Cordeschi - 1991 - Artificial Intelligence and Society 5 (3):218-238.
    In this paper I start from a definition of “culture of the artificial” which might be stated by referring to the background of philosophical, methodological, pragmatical assumptions which characterizes the development of the information processing analysis of mental processes and of some trends in contemporary cognitive science: in a word, the development of AI as a candidate science of mind. The aim of this paper is to show how (with which plausibility and limitations) the discovery of the mentioned background might (...)
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  18. The Discovery of the Artificial: Behavior, Mind and Machines Before and Beyond Cybernetics.Roberto Cordeschi - 2002 - Kluwer Academic Publishers.
    Since the second half of the XXth century, researchers in cybernetics and AI, neural nets and connectionism, Artificial Life and new robotics have endeavoured to build different machines that could simulate functions of living organisms, such as adaptation and development, problem solving and learning. In this book these research programs are discussed, particularly as regard the epistemological issues of the behaviour modelling. One of the main novelty of this book consists of the fact that certain projects involving the building of (...)
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  19. Cyborg Life: The In-Between of Humans and Machines.Glen A. Mazis - 2008 - PhaenEx 3 (2):14-36.
    Cyborgs are ongoing becomings of a doubly “in-between” temporality of humans and machines. Materially made from components of both sorts of beings, cyborgs gain increasing function through an interweaving in which each alters the other, from the level of “neural plasticity” to software updates to emotional breakthroughs of which both are a part. One sort of temporal in-between is of the progressive unfolding of a deepening becoming as “not-one-not-two” and the other is a “doubling back” of time into itself in (...)
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  20. The Technology of Participation as a Means of Improving Universities in Transitional Economies.Stuart Umpleby, Tatiana Medvedeva & Alisa Oyler - 2004 - World Futures 60 (1 & 2):129 – 136.
    Group process methods for problem solving and planning are now widely used in organizations in the United States. Such methods, which involve active participation by employees, are not often used in Russia. We believe these methods would help Russia move from a centrally planned, authoritarian style of management to a more participatory, information-sharing style of management. Accordingly, two training sessions were held with faculty members at universities in Irkutsk and Novosibirsk. This article describes how these meetings were arranged, the results (...)
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Dynamical Systems
  1. What an Entangled Web We Weave: An Information-Centric Approach to Time-Evolving Socio-Technical Systems.Markus Luczak-Roesch, Kieron O’Hara, Jesse David Dinneen & Ramine Tinati - 2018 - Minds and Machines 28 (4):709-733.
    A new layer of complexity, constituted of networks of information token recurrence, has been identified in socio-technical systems such as the Wikipedia online community and the Zooniverse citizen science platform. The identification of this complexity reveals that our current understanding of the actual structure of those systems, and consequently the structure of the entire World Wide Web, is incomplete, which raises novel questions for data science research but also from the perspective of social epistemology. Here we establish the principled foundations (...)
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  2. The Chaology of Mind.Adam Morton - 1988 - Analysis 48 (3):135.
    I explore the possibility that mentality can be characterized as a level in between the functional and the neurological, namely as a physical system exhibiting a specific kind of chaos. The argument is meant to make a case for this kind of characterization rather than giving one in specific detail.
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  3. Cognition, Computing and Dynamic Systems.Mario Villalobos & Joe Dewhurst - 2016 - Límite. Revista Interdisciplinaria de Filosofía y Psicología 1.
    Traditionally, computational theory (CT) and dynamical systems theory (DST) have presented themselves as opposed and incompatible paradigms in cognitive science. There have been some efforts to reconcile these paradigms, mainly, by assimilating DST to CT at the expenses of its anti-representationalist commitments. In this paper, building on Piccinini’s mechanistic account of computation and the notion of functional closure, we explore an alternative conciliatory strategy. We try to assimilate CT to DST by dropping its representationalist commitments, and by inviting CT to (...)
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  4. Self-Organization, Emergence, and Constraint in Complex Natural Systems.Jon Lawhead - manuscript
    Contemporary complexity theory has been instrumental in providing novel rigorous definitions for some classic philosophical concepts, including emergence. In an attempt to provide an account of emergence that is consistent with complexity and dynamical systems theory, several authors have turned to the notion of constraints on state transitions. Drawing on complexity theory directly, this paper builds on those accounts, further developing the constraint-based interpretation of emergence and arguing that such accounts recover many of the features of more traditional accounts. We (...)
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  5. Computers, Dynamical Systems, Phenomena, and the Mind.Marco Giunti - 1992 - Dissertation, Indiana University
    This work addresses a broad range of questions which belong to four fields: computation theory, general philosophy of science, philosophy of cognitive science, and philosophy of mind. Dynamical system theory provides the framework for a unified treatment of these questions. ;The main goal of this dissertation is to propose a new view of the aims and methods of cognitive science--the dynamical approach . According to this view, the object of cognitive science is a particular set of dynamical systems, which I (...)
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  6. Know-How, Procedural Knowledge, and Choking Under Pressure.Gabriel Gottlieb - 2015 - Phenomenology and the Cognitive Sciences 14 (2):361-378.
    I examine two explanatory models of choking: the representationalist model and the anti-representationalist model. The representationalist model is based largely on Anderson's ACT model of procedural knowledge and is developed by Masters, Beilock and Carr. The antirepresentationalist model is based on dynamical models of cognition and embodied action and is developed by Dreyfus who employs an antirepresentational view of know-how. I identify the models' similarities and differences. I then suggest that Dreyfus is wrong to believe representational activity requires reflection and (...)
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  7. Structure and Dynamics in Implementation of Computations.Jacques Mallah - forthcoming - In Yasemin J. Erden (ed.), Proceedings of the 7th AISB Symposium on Computing and Philosophy:. AISB.
    Without a proper restriction on mappings, virtually any system could be seen as implementing any computation. That would not allow characterization of systems in terms of implemented computations and is not compatible with a computationalist philosophy of mind. Information-based criteria for independence of substates within structured states are proposed as a solution. Objections to the use of requirements for transitions in counterfactual states are addressed, in part using the partial-brain argument as a general counterargument to neural replacement arguments.
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  8. Sense-Making and Symmetry-Breaking: Merleau-Ponty, Cognitive Science, and Dynamic Systems Theory.Noah Moss Brender - 2013 - Symposium: Canadian Journal of Continental Philosophy/Revue canadienne de philosophie continentale 17 (2):247-273.
    From his earliest work forward, phenomenologist Maurice Merleau-Ponty attempted to develop a new ontology of nature that would avoid the antinomies of realism and idealism by showing that nature has its own intrinsic sense which is prior to reflection. The key to this new ontology was the concept of form, which he appropriated from Gestalt psychology. However, Merleau-Ponty struggled to give a positive characterization of the phenomenon of form which would clarify its ontological status. Evan Thompson has recently taken up (...)
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  9. Review of Fenstad's "Grammar, Geometry & Brain". [REVIEW]Erich Rast - 2014 - Studia Logica 102 (1):219-223.
    In this small book logician and mathematician Jens Erik Fenstad addresses some of the most important foundational questions of linguistics: What should a theory of meaning look like and how might we provide the missing link between meaning theory and our knowledge of how the brain works? The author’s answer is twofold. On the one hand, he suggests that logical semantics in the Montague tradition and other broadly conceived symbolic approaches do not suffice. On the other hand, he does not (...)
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  10. Coalescing Minds: Brain Uploading-Related Group Mind Scenarios.Kaj Sotala & Harri Valpola - 2012 - International Journal of Machine Consciousness 4 (01):293-312.
    We present a hypothetical process of mind coalescence, where arti cial connections are created between two or more brains. This might simply allow for an improved form of communication. At the other extreme, it might merge the minds into one in a process that can be thought of as a reverse split-brain operation. We propose that one way mind coalescence might happen is via an exocortex, a prosthetic extension of the biological brain which integrates with the brain as seamlessly as (...)
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  11. Toward an Explanatory Framework for Mental Ownership.Timothy Lane - 2012 - Phenomenology and the Cognitive Sciences 11 (2):251-286.
    Philosophical and scientific investigations of the proprietary aspects of self—mineness or mental ownership—often presuppose that searching for unique constituents is a productive strategy. But there seem not to be any unique constituents. Here, it is argued that the “self-specificity” paradigm, which emphasizes subjective perspective, fails. Previously, it was argued that mode of access also fails to explain mineness. Fortunately, these failures, when leavened by other findings (those that exhibit varieties and vagaries of mineness), intimate an approach better suited to searching (...)
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  12. A Counterexample T o All Future Dynamic Systems Theories of Cognition.Eric Dietrich - 2000 - J. Of Experimental and Theoretical AI 12 (2):377-382.
    Years ago, when I was an undergraduate math major at the University of Wyoming, I came across an interesting book in our library. It was a book of counterexamples t o propositions in real analysis (the mathematics of the real numbers). Mathematicians work more or less like the rest of us. They consider propositions. If one seems to them to be plausibly true, then they set about to prove it, to establish the proposition as a theorem. Instead o f setting (...)
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  13. Computationalism Under Attack.Roberto Cordeschi & Marcello Frixione - 2007 - In M. Marraffa, M. De Caro & F. Ferretti (eds.), Cartographies of the Mind: Philosophy and Psychology in Intersection. Springer.
    Since the early eighties, computationalism in the study of the mind has been “under attack” by several critics of the so-called “classic” or “symbolic” approaches in AI and cognitive science. Computationalism was generically identified with such approaches. For example, it was identified with both Allen Newell and Herbert Simon’s Physical Symbol System Hypothesis and Jerry Fodor’s theory of Language of Thought, usually without taking into account the fact ,that such approaches are very different as to their methods and aims. Zenon (...)
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  14. Gestalt Psychology and the Philosophy of Mind.William Epstein & Gary Hatfield - 1994 - Philosophical Psychology 7 (2):163-181.
    The Gestalt psychologists adopted a set of positions on mind-body issues that seem like an odd mix. They sought to combine a version of naturalism and physiological reductionism with an insistence on the reality of the phenomenal and the attribution of meanings to objects as natural characteristics. After reviewing basic positions in contemporary philosophy of mind, we examine the Gestalt position, characterizing it m terms of phenomenal realism and programmatic reductionism. We then distinguish Gestalt philosophy of mind from instrumentalism and (...)
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The Frame Problem
  1. Why Emotions Do Not Solve the Frame Problem.Madeleine Ransom - 2016 - In Vincent Müller (ed.), Fundamental Issues of Artificial Intelligence. Springer. pp. 353-365.
    Attempts to engineer a generally intelligent artificial agent have yet to meet with success, largely due to the (intercontext) frame problem. Given that humans are able to solve this problem on a daily basis, one strategy for making progress in AI is to look for disanalogies between humans and computers that might account for the difference. It has become popular to appeal to the emotions as the means by which the frame problem is solved in human agents. The purpose of (...)
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  2. Analogical Cognition: Applications in Epistemology and the Philosophy of Mind and Language.Theodore Bach - 2012 - Philosophy Compass 7 (5):348-360.
    Analogical cognition refers to the ability to detect, process, and learn from relational similarities. The study of analogical and similarity cognition is widely considered one of the ‘success stories’ of cognitive science, exhibiting convergence across many disciplines on foundational questions. Given the centrality of analogy to mind and knowledge, it would benefit philosophers investigating topics in epistemology and the philosophies of mind and language to become familiar with empirical models of analogical cognition. The goal of this essay is to describe (...)
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  3. Context-Switching and Responsiveness to Real Relevance.Erik Rietveld - 2012 - In Julian Kiverstein & Michael Wheeler (eds.), Heidegger and Cognitive Science. Palgrave-Macmillan.
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Machine Learning
  1. The Pragmatic Turn in Explainable Artificial Intelligence (XAI).Andrés Páez - 2019 - Minds and Machines:1-19.
    In this paper I argue that the search for explainable models and interpretable decisions in AI must be reformulated in terms of the broader project of offering a pragmatic and naturalistic account of understanding in AI. Intuitively, the purpose of providing an explanation of a model or a decision is to make it understandable to its stakeholders. But without a previous grasp of what it means to say that an agent understands a model or a decision, the explanatory strategies will (...)
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  2. Intelligent Tutoring System for Teaching "Introduction to Computer Science" in Al-Azhar University, Gaza.Ahmad Marouf - 2018 - Dissertation, Al-Azhar University , Gaza
    ITS (Intelligent Tutoring System) is a computer software that supplies direct and adaptive training or response to students without, or with little human teacher interfering. The main target of ITS is smoothing the learning-teaching process using the ultimate technology in computer science. The proposed system will be implemented using the “ITSB” Authoring tool. The book "Introduction To Computer Science" is taught in Al-Azhar University in Gaza as a compulsory subject for students who study at humanities faculties. In this thesis, the (...)
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  3. Machine Learning and Irresponsible Inference: Morally Assessing the Training Data for Image Recognition Systems.Owen C. King - 2019 - In Matteo Vincenzo D'Alfonso & Don Berkich (eds.), On the Cognitive, Ethical, and Scientific Dimensions of Artificial Intelligence. Springer Verlag. pp. 265-282.
    Just as humans can draw conclusions responsibly or irresponsibly, so too can computers. Machine learning systems that have been trained on data sets that include irresponsible judgments are likely to yield irresponsible predictions as outputs. In this paper I focus on a particular kind of inference a computer system might make: identification of the intentions with which a person acted on the basis of photographic evidence. Such inferences are liable to be morally objectionable, because of a way in which they (...)
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