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  1. Situated Cognition: A Field Guide to Some Open Conceptual and Ontological Issues.Sven Walter - 2014 - Review of Philosophy and Psychology 5 (2):241-263.
    This paper provides an overview over the debate about so-called “situated approaches to cognition” that depart from the intracranialism associated with traditional cognitivism insofar as they stress the importance of body, world, and interaction for cognitive processing. It sketches the outlines of an overarching framework that reveals the differences, commonalities, and interdependencies between the various claims and positions of second-generation cognitive science, and identifies a number of apparently unresolved conceptual and ontological issues.
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  • (1 other version)ISR is Still a Digital Ontology.Bruce Long - 2018 - Erkenntnis:1-16.
    I will analyse Floridi’s rejection of digital ontologies and his positive proposal for an informational structural realism. I intend to show that ISR is still fundamentally a digital ontology, albeit with some different metaphysical commitments to those that Floridi rejects. I will argue that even though Floridi deploys the method of levels of abstraction adapted from computer science, and has established a Kantian transcendentalist conception of both information and structure, ISR still reduces to a discretised binary, and therefore digital, ontology. (...)
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  • Current perspectives on the development of the philosophy of informatics.Paweł Polak - 2017 - Philosophical Problems in Science 63:77-100.
    This article is an overview of the philosophy of informatics with a special regard to some Polish philosophers. It juxtaposes the informationistic worldview with the long-prevailing mechanical conceptualization of nature before introducing the metaphysical perspective of the information revolution in sciences. The article shows also how ontic pancomputationalism – regarded as an update to structural realism – could enrich the philosophical research in some classical topics. The paper concludes with a discussion of the philosophy of Jan Salamucha, a philosopher from (...)
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  • What Can Deep Neural Networks Teach Us About Embodied Bounded Rationality.Edward A. Lee - 2022 - Frontiers in Psychology 13.
    “Rationality” in Simon's “bounded rationality” is the principle that humans make decisions on the basis of step-by-step reasoning using systematic rules of logic to maximize utility. “Bounded rationality” is the observation that the ability of a human brain to handle algorithmic complexity and large quantities of data is limited. Bounded rationality, in other words, treats a decision maker as a machine carrying out computations with limited resources. Under the principle of embodied cognition, a cognitive mind is an interactive machine. Turing-Church (...)
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  • (1 other version)ISR is Still a Digital Ontology.Bruce Long - 2020 - Erkenntnis 85 (3):649-664.
    I will analyse Floridi’s rejection of digital ontologies and his positive proposal for an informational structural realism. I intend to show that ISR is still fundamentally a digital ontology, albeit with some different metaphysical commitments to those that Floridi rejects. I will argue that even though Floridi deploys the method of levels of abstraction adapted from computer science, and has established a Kantian transcendentalist conception of both information and structure, ISR still reduces to a discretised binary, and therefore digital, ontology. (...)
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  • Computing as Empirical Science- Evolution as a Concept.Paweł Polak - 2016 - Studies in Logic, Grammar and Rhetoric 48 (1):49-69.
    This article presents the evolution of philosophical and methodological considerations concerning empiricism in computer/computing science. In this study, we trace the most important current events in the history of reflection on computing. The forerunners of Artificial Intelligence H.A. Simon and A. Newell in their paper Computer Science As Empirical Inquiry started these considerations. Later the concept of empirical computer science was developed by S.S. Shapiro, P. Wegner, A.H. Eden and P.J. Denning. They showed various empirical aspects of computing. This led (...)
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