Results for 'Abstract Objects, Symbolic Computation, Algorithmic Reality'

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  1. (1 other version)Abstraction, law, and freedom in computer science.Timothy Colburn & Gary Shute - 2010 - Metaphilosophy 41 (3):345-364.
    Abstract: Laws of computer science are prescriptive in nature but can have descriptive analogs in the physical sciences. Here, we describe a law of conservation of information in network programming, and various laws of computational motion (invariants) for programming in general, along with their pedagogical utility. Invariants specify constraints on objects in abstract computational worlds, so we describe language and data abstraction employed by software developers and compare them to Floridi's concept of levels of abstraction. We also consider (...)
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  2. From Analog to Digital Computing: Is Homo sapiens’ Brain on Its Way to Become a Turing Machine?Antoine Danchin & André A. Fenton - 2022 - Frontiers in Ecology and Evolution 10:796413.
    The abstract basis of modern computation is the formal description of a finite state machine, the Universal Turing Machine, based on manipulation of integers and logic symbols. In this contribution to the discourse on the computer-brain analogy, we discuss the extent to which analog computing, as performed by the mammalian brain, is like and unlike the digital computing of Universal Turing Machines. We begin with ordinary reality being a permanent dialog between continuous and discontinuous worlds. So it is (...)
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  3.  40
    Computational Construction of the Reality: Abstraction and Exploration-Driven Strategies in Constructing Protein–Protein Interfaces.Sim-Hui Tee - 2019 - Axiomathes 29 (3):311-328.
    Computational modeling is one of the primary approaches to constructing protein–protein interfaces in the laboratory. The algorithm-driven computational protein design has been successfully applied to the construction of functional proteins with improved binding affinity and increased thermostability. It is intriguing how a computational protein modeling approach can construct and shape the reality of new functional proteins from scratch. I articulate an account of abstraction and exploration-driven strategies in this computational endeavor. I aim to show that how a computational modelling (...)
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  4. Truth is what works : Francisco J. Varela on cognitive science, buddhism, the inseparability of subject and object, and the exaggerations of constructivism--a conversation.Francisco J. Varela & Bernhard Poerksen - 2006 - Journal of Aesthetic Education 40 (1):35-53.
    In lieu of an abstract, here is a brief excerpt of the content:The Journal of Aesthetic Education 40.1 (2006) 35-53 [Access article in PDF] "Truth Is What Works": Francisco J. Varela on Cognitive Science, Buddhism, the Inseparability of Subject and Object, and the Exaggerations of Constructivism—A Conversation Francisco J. Varela Bernhard Poerksen Institut für Journalistik und Kommunikationswissenschaft Universität Hamburg Francisco J. Varela (1946-2001) studied biology in Santiago de Chile, obtained his doctorate 1970 at Harvard University with a dissertation on (...)
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  5.  42
    Listening eye : postmodernism, paranoia, and the hypervisible.Jerry Aline Flieger - 1996 - Diacritics 26 (1):90-107.
    In lieu of an abstract, here is a brief excerpt of the content:The Listening Eye: Postmodernism, Paranoia, and the HypervisibleJerry Aline Flieger (bio)Jean Baudrillard. The Transparency of Evil: Essays on Extreme Phenomena. Trans. James Benedict. London: Verso, 1993. Trans. of La transparence du mal: Essai sur les phénomènes extrêmes. Paris: Galilée, 1990.Jean-François Lyotard. The Inhuman: Reflections on Time. Trans. Geoff Bennington and Rachel Bowlby. Stanford: Stanford UP, 1991. Trans. of L’inhumain. Paris: Galilée, 1988.Slavoj Zizek. Looking Awry: An Introduction to (...)
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  6. Mirror notation: Symbol manipulation without inscription manipulation.Roy A. Sorensen - 1999 - Journal of Philosophical Logic 28 (2):141-164.
    Stereotypically, computation involves intrinsic changes to the medium of representation: writing new symbols, erasing old symbols, turning gears, flipping switches, sliding abacus beads. Perspectival computation leaves the original inscriptions untouched. The problem solver obtains the output by merely alters his orientation toward the input. There is no rewriting or copying of the input inscriptions; the output inscriptions are numerically identical to the input inscriptions. This suggests a loophole through some of the computational limits apparently imposed by physics. There can be (...)
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  7.  13
    Big Archive-Assisted Ensemble of Many-Objective Evolutionary Algorithms.Wen Zhong, Jian Xiong, Anping Lin, Lining Xing, Feilong Chen & Yingwu Chen - 2021 - Complexity 2021:1-17.
    Multiobjective evolutionary algorithms have witnessed prosperity in solving many-objective optimization problems over the past three decades. Unfortunately, no one single MOEA equipped with given parameter settings, mating-variation operator, and environmental selection mechanism is suitable for obtaining a set of solutions with excellent convergence and diversity for various types of MaOPs. The reality is that different MOEAs show great differences in handling certain types of MaOPs. Aiming at these characteristics, this paper proposes a flexible ensemble framework, namely, ASES, which is (...)
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  8. What an Algorithm Is.Robin K. Hill - 2016 - Philosophy and Technology 29 (1):35-59.
    The algorithm, a building block of computer science, is defined from an intuitive and pragmatic point of view, through a methodological lens of philosophy rather than that of formal computation. The treatment extracts properties of abstraction, control, structure, finiteness, effective mechanism, and imperativity, and intentional aspects of goal and preconditions. The focus on the algorithm as a robust conceptual object obviates issues of correctness and minimality. Neither the articulation of an algorithm nor the dynamic process constitute the algorithm itself. Analysis (...)
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  9. Symbol grounding: A new look at an old idea.Ron Sun - 2000 - Philosophical Psychology 13 (2):149-172.
    Symbols should be grounded, as has been argued before. But we insist that they should be grounded not only in subsymbolic activities, but also in the interaction between the agent and the world. The point is that concepts are not formed in isolation (from the world), in abstraction, or "objectively." They are formed in relation to the experience of agents, through their perceptual/motor apparatuses, in their world and linked to their goals and actions. This paper takes a detailed look at (...)
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  10.  38
    Computational modelling of spoken-word recognition processes: design choices and evaluation.Odette Scharenborg & Lou Boves - 2010 - Pragmatics and Cognition 18 (1):136-164.
    Computational modelling has proven to be a valuable approach in developing theories of spoken-word processing. In this paper, we focus on a particular class of theories in which it is assumed that the spoken-word recognition process consists of two consecutive stages, with an `abstract' discrete symbolic representation at the interface between the stages. In evaluating computational models, it is important to bring in independent arguments for the cognitive plausibility of the algorithms that are selected to compute the processes (...)
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  11.  1
    Many problems, different frameworks: classification of problems in computable analysis and algorithmic learning theory.Vittorio Cipriani - 2024 - Bulletin of Symbolic Logic 30 (2):287-288.
    In this thesis, we study the complexity of some mathematical problems: in particular, those arising in computable analysis and algorithmic learning theory for algebraic structures. Our study is not limited to these two areas: indeed, in both cases, the results we obtain are tightly connected to ideas and tools coming from different areas of mathematical logic, including for example descriptive set theory and reverse mathematics.After giving the necessary preliminaries, we first study the uniform computational strength of the Cantor–Bendixson theorem (...)
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  12.  21
    Algorithmics and the Limits of Complexity.Daniel Parrochia - 1996 - Science in Context 9 (1):39-56.
    The ArgumentDagognet's work shows that making algorithmic compressions seems to be one of the major targets of scientific progress. This effort has been so successful that until recently one might have thought everything could be algorithmically compressed. Indeed, this statement, which might be seen as a scientific translation of the Hegelian thesis in its strong form, admits to some objective limits in computer science. Though a lot of algorithms are successful, there exist today, and perhaps forever, logical and physical (...)
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  13.  12
    Algorithmic modernity: mechanizing thought and action, 1500-2000.Morgan G. Ames & Massimo Mazzotti (eds.) - 2022 - New York, NY: Oxford University Press.
    The rhetoric of algorithmic neutrality is more alive than ever-why? This volume explores key moments in the historical emergence of algorithmic practices and in the constitution of their credibility and authority since 1500. If algorithms are historical objects and their associated meanings and values are situated and contingent-and if we are to push back against rhetorical claims of otherwise-then the genealogical investigation this book offers is essential to understand the power of the algorithm. The fact that algorithms create (...)
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  14. A natural axiomatization of computability and proof of Church’s thesis.Nachum Dershowitz & Yuri Gurevich - 2008 - Bulletin of Symbolic Logic 14 (3):299-350.
    Church's Thesis asserts that the only numeric functions that can be calculated by effective means are the recursive ones, which are the same, extensionally, as the Turing-computable numeric functions. The Abstract State Machine Theorem states that every classical algorithm is behaviorally equivalent to an abstract state machine. This theorem presupposes three natural postulates about algorithmic computation. Here, we show that augmenting those postulates with an additional requirement regarding basic operations gives a natural axiomatization of computability and a (...)
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  15.  20
    Existing in Discrete States: On the Techno-Aesthetics of Algorithmic Being-in-Time.Wolfgang Ernst - 2021 - Theory, Culture and Society 38 (7-8):13-31.
    Against a remarkable hardware oblivion in discussions of algorithmic intelligence, this article insists that algorithmic thought, or abstract computation, cannot be separated from its technological implementation. It requires a material medium for an abstract mechanism to become a procedural event. Temporality is both the condition and the limiting (and irritating) factor in the computational function. ‘Radical’ media archaeology is proposed as a method for such an analysis, and the neologism of techno lógos to describe some aspects (...)
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  16.  18
    Object‐Label‐Order Effect When Learning From an Inconsistent Source.Timmy Ma & Natalia L. Komarova - 2019 - Cognitive Science 43 (8):e12737.
    Learning in natural environments is often characterized by a degree of inconsistency from an input. These inconsistencies occur, for example, when learning from more than one source, or when the presence of environmental noise distorts incoming information; as a result, the task faced by the learner becomes ambiguous. In this study, we investigate how learners handle such situations. We focus on the setting where a learner receives and processes a sequence of utterances to master associations between objects and their labels, (...)
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  17.  27
    Sparks of New Metaphysics and the Limits of Explanatory Abstractions.Thomas Hauer - 2024 - Metaphysica 25 (1):15-39.
    Physical reality as an explanatory model is an abstraction of the mind. Every perceptual system is a user interface, like the dashboard of an aeroplane or the desktop of a computer. We do not see or otherwise perceive reality but only interface with reality. The user interface concept is a starting point for a critical dialogue with those epistemic theories that present themselves as veridical and take explanatory abstractions as ontological primitives. At the heart of any scientific (...)
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  18.  13
    Human–Computer Interaction-Oriented African Literature and African Philosophy Appreciation.Jianlan Wen & Yuming Piao - 2022 - Frontiers in Psychology 12.
    African literature has played a major role in changing and shaping perceptions about African people and their way of life for the longest time. Unlike western cultures that are associated with advanced forms of writing, African literature is oral in nature, meaning it has to be recited and even performed. Although Africa has an old tribal culture, African philosophy is a new and strange idea among us. Although the problem of “universality” of African philosophy actually refers to the question of (...)
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  19.  55
    Computable Diagonalizations and Turing’s Cardinality Paradox.Dale Jacquette - 2014 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 45 (2):239-262.
    A. N. Turing’s 1936 concept of computability, computing machines, and computable binary digital sequences, is subject to Turing’s Cardinality Paradox. The paradox conjoins two opposed but comparably powerful lines of argument, supporting the propositions that the cardinality of dedicated Turing machines outputting all and only the computable binary digital sequences can only be denumerable, and yet must also be nondenumerable. Turing’s objections to a similar kind of diagonalization are answered, and the implications of the paradox for the concept of a (...)
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  20.  81
    Concrete digital computation: competing accounts and its role in cognitive science.Nir Fresco - 2013 - Dissertation, University of New South Wales
    There are currently considerable confusion and disarray about just how we should view computationalism, connectionism and dynamicism as explanatory frameworks in cognitive science. A key source of this ongoing conflict among the central paradigms in cognitive science is an equivocation on the notion of computation simpliciter. ‘Computation’ is construed differently by computationalism, connectionism, dynamicism and computational neuroscience. I claim that these central paradigms, properly understood, can contribute to an integrated cognitive science. Yet, before this claim can be defended, a better (...)
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  21.  36
    The Epistemological Consequences of Artificial Intelligence, Precision Medicine, and Implantable Brain-Computer Interfaces.Ian Stevens - 2024 - Voices in Bioethics 10.
    ABSTRACT I argue that this examination and appreciation for the shift to abductive reasoning should be extended to the intersection of neuroscience and novel brain-computer interfaces too. This paper highlights the implications of applying abductive reasoning to personalized implantable neurotechnologies. Then, it explores whether abductive reasoning is sufficient to justify insurance coverage for devices absent widespread clinical trials, which are better applied to one-size-fits-all treatments. INTRODUCTION In contrast to the classic model of randomized-control trials, often with a large number (...)
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  22. The reality of numbers: a physicalist's philosophy of mathematics.John Bigelow - 1988 - New York: Oxford University Press.
    Challenging the myth that mathematical objects can be defined into existence, Bigelow here employs Armstrong's metaphysical materialism to cast new light on mathematics. He identifies natural, real, and imaginary numbers and sets with specified physical properties and relations and, by so doing, draws mathematics back from its sterile, abstract exile into the midst of the physical world.
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  23.  11
    Deep Symbolic Regression: Recovering Mathematical Expressions from Data via Risk-Seeking Policy Gradients.Brenden Petersen, Larma K., Mundhenk Mikel Landajuela, Santiago T. Nathan, P. Claudio, Soo Kim, Kim K. & T. Joanne - 2021 - Arxiv:1912.04871 Cs, Stat.
    Discovering the underlying mathematical expressions describing a dataset is a core challenge for artificial intelligence. This is the problem of symbolic regression. Despite recent advances in training neural networks to solve complex tasks, deep learning approaches to symbolic regression are underexplored. We propose a framework that leverages deep learning for symbolic regression via a simple idea: use a large model to search the space of small models. Specifically, we use a recurrent neural network to emit a distribution (...)
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  24. Mind as Machine: The Influence of Mechanism on the Conceptual Foundations of the Computer Metaphor.Pavel Baryshnikov - 2022 - RUDN Journal of Philosophy 26 (4):755-769.
    his article will focus on the mechanistic origins of the computer metaphor, which forms the conceptual framework for the methodology of the cognitive sciences, some areas of artificial intelligence and the philosophy of mind. The connection between the history of computing technology, epistemology and the philosophy of mind is expressed through the metaphorical dictionaries of the philosophical discourse of a particular era. The conceptual clarification of this connection and the substantiation of the mechanistic components of the computer metaphor is the (...)
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  25.  45
    What algorithms could not be.Walter H. Dean - unknown
    This dissertation addresses a variety of foundational issues pertaining to the notion of algorithm employed in mathematics and computer science. In these settings, an algorithm is taken to be an effective mathematical procedure for solving a previously stated mathematical problem. Procedures of this sort comprise the notional subject matter of the subfield of computer science known as algorithmic analysis. In this context, algorithms are referred to via proper names of which computational properties are directly predicated )). Moreover, many formal (...)
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  26. What is a Compendium? Parataxis, Hypotaxis, and the Question of the Book.Maxwell Stephen Kennel - 2013 - Continent 3 (1):44-49.
    Writing, the exigency of writing: no longer the writing that has always (through a necessity in no way avoidable) been in the service of the speech or thought that is called idealist (that is to say, moralizing), but rather the writing that through its own slowly liberated force (the aleatory force of absence) seems to devote itself solely to itself as something that remains without identity, and little by little brings forth possibilities that are entirely other: an anonymous, distracted, deferred, (...)
     
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  27.  49
    Semantics and symbol grounding in Turing machine processes.Anna Sarosiek - 2017 - Semina Scientiarum 16:211-223.
    The aim of the paper is to present the underlying reason of the unsolved symbol grounding problem. The Church-Turing Thesis states that a physical problem, for which there is an algorithm of solution, can be solved by a Turing machine, but machine operations neglect the semantic relationship between symbols and their meaning. Symbols are objects that are manipulated on rules based on their shapes. The computations are independent of the context, mental states, emotions, or feelings. The symbol processing operations are (...)
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  28.  17
    Extended Reality and Abstract Objects: A pragmalinguistic approach.Javier Vilanova - 2017 - In José María Ariso (ed.), Augmented Reality: Reflections on its Contribution to Knowledge Formation. Berlin: De Gruyter. pp. 41-60.
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  29.  22
    Extended Cognition and the Dynamics of Algorithmic Skills.Simone Pinna - 2017 - Cham: Springer Verlag.
    This book describes a novel methodology for studying algorithmic skills, intended as cognitive activities related to rule-based symbolic transformation, and argues that some human computational abilities may be interpreted and analyzed as genuine examples of extended cognition. It shows that the performance of these abilities relies not only on innate neurocognitive systems or language-related skills, but also on external tools and general agent–environment interactions. Further, it asserts that a low-level analysis, based on a set of core neurocognitive systems (...)
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  30.  1
    Imagination and skil vs computer algorithms for artistic creativity.Olga Uymina - forthcoming - Sotsium I Vlast.
    Aesthetic theory distinguishes different approaches to understanding the sensory and logical. The author agrees with I. Kant’s theory that sensory perception is subjective and the imagination is given the opportunity to invent fictional characters that do not exist in real life. Digital technologies make it possible to revive and introduce such characters into an artistic performance. This process becomes possible with the help of computer algorithms that are used to create art practices. There are many contradictory publications where there is (...)
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  31.  95
    A Sense of Reality.Yasuaki Okamoto - 2003 - Journal of Aesthetic Education 37 (4):26.
    In lieu of an abstract, here is a brief excerpt of the content:The Journal of Aesthetic Education 37.4 (2003) 26-32 [Access article in PDF] A Sense of Reality In the current highly information-oriented society, electronic media have entered into our daily lives ever so naturally, even unnoticeably, yet their great influence on us is beyond measure. In addition to the many ways that information surrounds us in our everyday lives, we are also exposed to information from outer space (...)
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  32.  99
    I am no abstract object: a novel challenge to mind uploading.Xinyi Zhan - 2024 - Synthese 204 (3):1-17.
    Mind uploading—the transference of mind from a biological brain to a computer— offers the alluring possibility of immortality. This paper provides a novel challenge to mind uploading, focusing on the distinction between abstract objects and concrete individuals. Uploads are abstract objects, while currently, persons are concrete indi- viduals. This presents a dilemma: if the mind is concrete, uploading it to a computer is impossible. Alternatively, if mind uploading is feasible, the resulting abstract upload cannot be numerically identical (...)
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  33. Paradox and Paraconsistency: Conflict Resolution in the Abstract Sciences.John Woods - 2002 - New York: Cambridge University Press.
    In a world plagued by disagreement and conflict one might expect that the exact sciences of logic and mathematics would provide a safe harbor. In fact these disciplines are rife with internal divisions between different, often incompatible, systems. Do these disagreements admit of resolution? Can such resolution be achieved without disturbing assumptions that the theorems of logic and mathematics state objective truths about the real world? In this original and historically rich book John Woods explores apparently intractable disagreements in logic (...)
     
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  34. A Simplicity Criterion for Physical Computation.Tyler Millhouse - 2019 - British Journal for the Philosophy of Science 70 (1):153-178.
    The aim of this paper is to offer a formal criterion for physical computation that allows us to objectively distinguish between competing computational interpretations of a physical system. The criterion construes a computational interpretation as an ordered pair of functions mapping (1) states of a physical system to states of an abstract machine, and (2) inputs to this machine to interventions in this physical system. This interpretation must ensure that counterfactuals true of the abstract machine have appropriate counterparts (...)
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  35. Object-Oriented France: The Philosophy of Tristan Garcia.Graham Harman - 2012 - Continent 2 (1):6-21.
    continent. 2.1 (2012): 6–21. The French philosopher and novelist Tristan Garcia was born in Toulouse in 1981. This makes him rather young to have written such an imaginative work of systematic philosophy as Forme et objet , 1 the latest entry in the MétaphysiqueS series at Presses universitaires de France. But this reference to Garcia’s youthfulness is not a form of condescension: by publishing a complete system of philosophy in the grand style, he has already done what none of us (...)
     
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  36.  18
    On New Notions of Algorithmic Dimension, Immunity, and Medvedev Degree.David J. Webb - 2022 - Bulletin of Symbolic Logic 28 (4):532-533.
    We prove various results connected together by the common thread of computability theory.First, we investigate a new notion of algorithmic dimension, the inescapable dimension, which lies between the effective Hausdorff and packing dimensions. We also study its generalizations, obtaining an embedding of the Turing degrees into notions of dimension.We then investigate a new notion of computability theoretic immunity that arose in the course of the previous study, that of a set of natural numbers with no co-enumerable subsets. We demonstrate (...)
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  37.  39
    Emergence, a Universal Phenomenon which Connects Reality to Consciousness, Natural Sciences to Humanities.Gabriel Crumpei & Alina Gavriluţ - 2018 - Human and Social Studies 7 (2):89-106.
    Progress in neuroscience has left a central question of psychism unanswered: what is consciousness? Modeling the psyche from a computational perspective has helped to develop cognitive neurosciences, but it has also shown their limits, of which the definition, description and functioning of consciousness remain essential. From Rene Descartes, who tackled the issue of psychism as the brain-mind dualism, to Chambers, who defined qualia as the tough, difficult problem of research in neuroscience, many hypotheses and theories have been issued to encompass (...)
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  38. God and Abstract Objects: The Coherence of Theism: Aseity.William Lane Craig - 2017 - Cham: Springer.
    This book is an exploration and defense of the coherence of classical theism’s doctrine of divine aseity in the face of the challenge posed by Platonism with respect to abstract objects. A synoptic work in analytic philosophy of religion, the book engages discussions in philosophy of mathematics, philosophy of language, metaphysics, and metaontology. It addresses absolute creationism, non-Platonic realism, fictionalism, neutralism, and alternative logics and semantics, among other topics. The book offers a helpful taxonomy of the wide range of (...)
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  39.  24
    Causality, poetics, and grammatology: the role of computation in machine seeing.Iain Emsley - 2021 - AI and Society 36 (4):1225-1231.
    Digitised collections and born digital items, such as photos or video, exist beyond the scale of human viewing. New methods are required to read, understand and work with the data, resulting in computation becoming increasingly central to both creation of a cultural reality and as the interpretative tool and practice. If artists’ look, then how might a machine see as a critical tool? Developing work on computational culture and the Next Rembrandt project as unstable digital object, this paper considers (...)
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  40. Immersive ideals / critical distances : study of the affinity between artistic ideologies in virtual Reality and previous immersive idioms.Joseph Nechvatal (ed.) - 2010 - Berlin: LAP Lambert Academic Publishing AG & Co KG.
    My research into Virtual Reality technology and its central property of immersion has indicated that immersion in Virtual Reality (VR) electronic systems is a significant key to the understanding of contemporary culture as well as considerable aspects of previous culture as detected in the histories of philosophy and the visual arts. The fundamental change in aesthetic perception engendered by immersion, a perception which is connected to the ideal of total-immersion in virtual space, identifies certain shifts in ontology which (...)
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  41.  10
    Computability Theory: Constructive Applications of the Lefthanded Local Lemma and Characterizations of Some Classes of Cohesive Powers.Daniel Mourad - 2023 - Bulletin of Symbolic Logic 29 (4):664-665.
    The Lovász local lemma (LLL) is a technique from combinatorics for proving existential results. There are many different versions of the LLL. One of them, the lefthanded local lemma, is particularly well suited for applications to two player games. There are also constructive and computable versions of the LLL. The chief object of this thesis is to prove an effective version of the lefthanded local lemma and to apply it to effectivise constructions of non-repetitive sequences.The second goal of this thesis (...)
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  42.  54
    Between Fiction, Reality, and Ideality: Virtual Objects as Computationally Grounded Intentional Objects.Bartłomiej Skowron & Paweł Stacewicz - 2023 - Philosophy and Technology 36 (2):1-29.
    Virtual objects, such as online shops, the elements that go to make up virtual life in computer games, virtual maps, e-books, avatars, cryptocurrencies, chatbots, holograms, etc., are a phenomenon we now encounter at every turn: they have become a part of our life and our world. Philosophers—and ontologists in particular—have sought to answer the question of what, exactly, they are. They fall into two camps: some, pointing to the chimerical character of virtuality, hold that virtual objects are like dreams, illusions (...)
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  43.  80
    Computing with Numbers and Other Non-syntactic Things: De re Knowledge of Abstract Objects.Stewart Shapiro - 2017 - Philosophia Mathematica 25 (2):268-281.
    ABSTRACT Michael Rescorla has argued that it makes sense to compute directly with numbers, and he faulted Turing for not giving an analysis of number-theoretic computability. However, in line with a later paper of his, it only makes sense to compute directly with syntactic entities, such as strings on a given alphabet. Computing with numbers goes via notation. This raises broader issues involving de re propositional attitudes towards numbers and other non-syntactic abstract entities.
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  44.  8
    Between art and science: on Ernst Cassirer’s concept of style.Rémi Mermet - 2024 - Continental Philosophy Review 57 (3):381-397.
    This essay centralizes and explores Ernst Cassirer’s concept of style. Although it does not emerge as much as the concept of form or symbol in Cassirer’s corpus, style plays a major—if intrinsic—role throughout the Philosophy of Symbolic Forms. I shall examine how Cassirer’s conception of style is derived from Goethe’s theory of art and why it is fundamental to Cassirer’s theory of knowledge. Style is considered the defining feature of the cultural sciences, as well as the sign of the (...)
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  45.  31
    Three forms of physical measurement and their computability.Edwin Beggs, José Félix Costa & John V. Tucker - 2014 - Review of Symbolic Logic 7 (4):618-646.
    We have begun a theory of measurement in which an experimenter and his or her experimental procedure are modeled by algorithms that interact with physical equipment through a simple abstract interface. The theory is based upon using models of physical equipment as oracles to Turing machines. This allows us to investigate the computability and computational complexity of measurement processes. We examine eight different experiments that make measurements and, by introducing the idea of an observable indicator, we identify three distinct (...)
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  46.  68
    Trade‐Offs Between Grounded and Abstract Representations: Evidence From Algebra Problem Solving.Kenneth R. Koedinger, Martha W. Alibali & Mitchell J. Nathan - 2008 - Cognitive Science 32 (2):366-397.
    This article explores the complementary strengths and weaknesses of grounded and abstract representations in the domain of early algebra. Abstract representations, such as algebraic symbols, are concise and easy to manipulate but are distanced from any physical referents. Grounded representations, such as verbal descriptions of situations, are more concrete and familiar, and they are more similar to physical objects and everyday experience. The complementary computational characteristics of grounded and abstract representations lead to trade‐offs in problem‐solving performance. In (...)
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  47. The Architecture of Mind as a Network of Networks of Natural Computational Processes.Gordana Dodig-Crnkovic - 2015 - Philosophies 1 (1):111--125.
    In discussions regarding models of cognition, the very mention of “computationalism” often incites reactions against the insufficiency of the Turing machine model, its abstractness, determinism, the lack of naturalist foundations, triviality and the absence of clarity. None of those objections, however, concerns models based on natural computation or computing nature, where the model of computation is broader than symbol manipulation or conventional models of computation. Computing nature consists of physical structures that form layered computational architecture, with computation processes ranging from (...)
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    Construction design based on particle group optimization algorithm.Mohd Asif Shah, Mohammad Asif Ikbal & Ying Xia - 2021 - Journal of Intelligent Systems 30 (1):1040-1053.
    The machines exhibit an intelligence which is artificial intelligence, and it is the design of intelligent agents. A system is represented by an intelligent agent who perceives its environment and the success rate is maximized by taking the action. The AI research is highly specialized and there are two subfields and each communication fails often. The popular AI approaches include the traditional symbolic AI and computational intelligence. In order to optimize the seismic design of the reinforced concrete pier structure, (...)
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    Grasping, communicating, understanding: Connecting reality and virtuality. [REVIEW]Willi Bruns - 1996 - AI and Society 10 (1):6-14.
    Several simulation projects in the area of production and logistics indicated that, although we have sophisticated input and output devices for computer supported modelling, physical models still play an important role for cognition and communication. We therefore introduce the concept of a Graspable User Interface that aims at combining two model worlds, the one inside the computer and a corresponding physical one in the outside world. Sensored user hands will couple physical objects of the real world with virtual objects, thus (...)
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    A Philosophical Inquiry into the Nature of Computer Art.Holle Humphries - 2003 - Journal of Aesthetic Education 37 (1):13.
    In lieu of an abstract, here is a brief excerpt of the content:The Journal of Aesthetic Education 37.1 (2003) 13-31 [Access article in PDF] A Philosophical Inquiry into the Nature of Computer Art Holle Humphries Before the computer is accepted unquestioningly as a legitimate artistic medium, some of the challenging aesthetic and philosophical issues raised by [computer art] must be solved. The most haunting questions concern the impact of the technology on the artist, the creative process, and the nature (...)
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