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  1. Hyperset models of self, will and reflective consciousness.Ben Goertzel - 2011 - International Journal of Machine Consciousness 3 (01):19-53.
    A novel theory of reflective consciousness, will and self is presented, based on modeling each of these entities using self-referential mathematical structures called hypersets. Pattern theory is used to argue that these exotic mathematical structures may meaningfully be considered as parts of the minds of physical systems, even finite computational systems. The hyperset models presented are hypothesized to occur as patterns within the "moving bubble of attention" of the human brain and any roughly human-mind-like AI system. These ideas appear to (...)
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  • Minds, brains, and programs.John Searle - 1980 - Behavioral and Brain Sciences 3 (3):417-57.
    What psychological and philosophical significance should we attach to recent efforts at computer simulations of human cognitive capacities? In answering this question, I find it useful to distinguish what I will call "strong" AI from "weak" or "cautious" AI. According to weak AI, the principal value of the computer in the study of the mind is that it gives us a very powerful tool. For example, it enables us to formulate and test hypotheses in a more rigorous and precise fashion. (...)
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  • From the Phenomenology to the Mechanisms of Consciousness: Integrated Information Theory 3.0.Masafumi Oizumi, Larissa Albantakis & Giulio Tononi - 2014 - PLOS Computational Biology 10 (5):e1003588.
    This paper presents Integrated Information Theory of consciousness 3.0, which incorporates several advances over previous formulations. IIT starts from phenomenological axioms: information says that each experience is specific a sh it is what it is by how it differs from alternative experiences; integration says that it is unified a sh irreducible to non-interdependent components; exclusion says that it has unique borders and a particular spatio-temporal grain. These axioms are formalized into postulates that prescribe how physical mechanisms, such as neurons or (...)
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  • Aristotle’s Razor.M. J. Charlesworth - 1956 - Philosophical Studies (Dublin) 6:105-112.
    THE methodological principle known as Ockham’s Razor is usually formulated as “Entia non sunt multiplicanda praeter necessarium”. However, it is well known that neither this formulation of the principle nor the idea behind it come originally from William of Ockham. This particular formula is due to Leibniz, though Ockham’s works contain equivalent formulas: “Pluralitas non est ponenda sine necessitate”; “Si duae res sufficiunt ad eius veritatem, superfluum est ponere aliam rem”; “Frustra fit per plura, quod potest fieri per pauciora”. But (...)
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  • The Principia: Mathematical Principles of Natural Philosophy.Isaac Newton - 1999 - University of California Press.
    Presents Newton's unifying idea of gravitation and explains how he converted physics from a science of explanation into a general mathematical system.
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  • Minds, Brains, and Programs.John Searle - 1980 - In John Heil (ed.), Philosophy of Mind: A Guide and Anthology. Oxford University Press.
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  • Rechnender Raum (Calculating Space).Konrad Zuse - 1969 - Schriften Zur Dataverarbeitung 1.
    Zuse proposed that the universe is being computed by some sort of cellular automaton or other discrete computing machinery, challenging the long-held view that some physical laws are continuous by nature. Calculating Space is the title of MIT's English translation of Konrad Zuse's 1969 Rechnender Raum, the first work on digital physics. This is the LaTeX edition by A. German and H. Zenil based on the MIT's English translation with permission from the MIT and Konrad Zuse's son Horst Zuse. Followed (...)
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