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  1. Reductionism and religion.Douglas R. Hofstadter - 1980 - Behavioral and Brain Sciences 3 (3):433-434.
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  • Intrinsic intentionality.John Searle - 1980 - Behavioral and Brain Sciences 3 (3):450-457.
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  • Abstractions and Implementations.Russ Abbott - manuscript
    Fundamental to Computer Science is the distinction between abstractions and implementations. When that distinction is applied to various philosophical questions it yields the following conclusions. -/- • EMERGENCE. It isn’t as mysterious as it’s made out to be; the possibility of strong emergence is not a threat to science. -/- • INTERACTIONS BETWEEN HIGHER-LEVEL ENTITIES. Physical interaction among higher-level entities is illusory. Abstract interactions are the source of emergence, new domains of knowledge, and complex systems. -/- • PHYSICS and the (...)
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  • The reductionist blind spot.Russ Abbott - 2008 - Complexity 14 (5):10-22.
    Can there be higher level laws of nature even though everything is reducible to the fundamental laws of physics? The computer science notion of level of abstraction explains how there can be.
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  • Reflexive monism.Max Velmans - 2008 - Journal of Consciousness Studies 15 (2):5-50.
    Reflexive monism is, in essence, an ancient view of how consciousness relates to the material world that has, in recent decades, been resurrected in modern form. In this paper I discuss how some of its basic features differ from both dualism and variants of physicalist and functionalist reductionism, focusing on those aspects of the theory that challenge deeply rooted presuppositions in current Western thought. I pay particular attention to the ontological status and seeming “out-thereness” of the phenomenal world and to (...)
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  • Is the view from nowhere going anywhere? [REVIEW]Paul G. Muscari - 1987 - Human Studies 10 (3-4):391-398.
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  • (1 other version)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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  • Microdeterminism and concepts of emergence.Robert L. Klee - 1984 - Philosophy of Science 51 (March):44-63.
    Contemporary scientific theories assume a primarily micro-deterministic view of nature. This paper explores the question of whether micro-determinism is incompatible with the alleged emergence of properties and laws that some biologists and philosophers assert occurs in various biological systems. I argue that a preferable unified treatment of these emergence claims takes properties, rather than laws, to be the units of emergence. Four distinct conceptions of emergence are explored and three shown to be compatible with micro-determinism. The remaining concept of emergence, (...)
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  • Reductionism and the Irreducibility of Consciousness.John R. Searle - 1997 - In Ned Block, Owen Flanagan & Guven Guzeldere (eds.), The Nature of Consciousness: Philosophical Debates. MIT Press.
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  • Mysticism as a philosophy of artificial intelligence.Martin Ringle - 1980 - Behavioral and Brain Sciences 3 (3):444-445.
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  • The milk of human intentionality.Daniel Dennett - 1980 - Behavioral and Brain Sciences 3 (3):428-430.
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  • Searle and the special powers of the brain.Richard Rorty - 1980 - Behavioral and Brain Sciences 3 (3):445-446.
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  • Simulation games.William E. Smythe - 1980 - Behavioral and Brain Sciences 3 (3):448-449.
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  • The perfect mirror is invisible.Richard Mille - 1976 - Zygon 11 (1):25-33.
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  • Dynamical Emergence Theory (DET): A Computational Account of Phenomenal Consciousness.Roy Moyal, Tomer Fekete & Shimon Edelman - 2020 - Minds and Machines 30 (1):1-21.
    Scientific theories of consciousness identify its contents with the spatiotemporal structure of neural population activity. We follow up on this approach by stating and motivating Dynamical Emergence Theory, which defines the amount and structure of experience in terms of the intrinsic topology and geometry of a physical system’s collective dynamics. Specifically, we posit that distinct perceptual states correspond to coarse-grained macrostates reflecting an optimal partitioning of the system’s state space—a notion that aligns with several ideas and results from computational neuroscience (...)
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  • Programs, causal powers, and intentionality.John Haugeland - 1980 - Behavioral and Brain Sciences 3 (3):432-433.
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  • Decentralized minds.Marvin Minsky - 1980 - Behavioral and Brain Sciences 3 (3):439-440.
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  • The thermostat and the philosophy professor.Donald O. Walter - 1980 - Behavioral and Brain Sciences 3 (3):449-449.
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  • Is the pen mightier than the computer?E. W. Menzel - 1980 - Behavioral and Brain Sciences 3 (3):438-439.
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  • The claims of consciousness: A critical survey.Alastair Hannay - 1987 - Inquiry: An Interdisciplinary Journal of Philosophy 30 (December):395-434.
    This article selectively surveys recent work touching consciousness. It discusses some recent arguments and positions with a view to throwing light on a working principle of much influential philosophical psychology, namely that the first?person point of view is theoretically redundant. The discussion is divided under a number of headings corresponding to specific functions that have been attributed to the first?person viewpoint, from the experience of something it is like to undergo physical processes, to the presence of selfhood, mental substance, meaning, (...)
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  • Mental phenomena and behavior.B. Libet - 1980 - Behavioral and Brain Sciences 3 (3):434-434.
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  • A dualist-interactionist perspective.John C. Eccles - 1980 - Behavioral and Brain Sciences 3 (3):430-431.
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  • Artificial intelligence—the real thing?John C. Marshall - 1980 - Behavioral and Brain Sciences 3 (3):435-437.
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  • What intuitions about homunculi don't show.Ned Block - 1980 - Behavioral and Brain Sciences 3 (3):425-426.
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  • Searle on what only brains can do.J. A. Fodor - 1980 - Behavioral and Brain Sciences 3 (3):431-432.
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  • Consciousness and the Cognitive Revolution: A True Worldview Paradigm Shift.Roger W. Sperry & Polly Henninger - 1994 - Anthropology of Consciousness 5 (3):3-7.
    Traditional scientific views of the conscious self and world we live in are challenged by an unprecedented outburst of emerging new paradigms, theories of consciousness, perceptions of reality, new sciences, new philosophies, epistemologies, and a host of other transformative approaches. This still expanding outburst can be traced, on both logical and chronologic grounds, not to chaos theory, ecology, the new physics, or dozens of other currently ascribed sources, but rather to the cognitive (consciousness) revolution that immediately preceded. These new approaches (...)
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  • Science and the problem of values.R. W. Sperry - 1974 - Zygon 9 (1):7-21.
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  • Beliefs, machines, and theories.John McCarthy - 1980 - Behavioral and Brain Sciences 3 (3):435-435.
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  • Searle's argument is just a set of Chinese symbols.Robert P. Abelson - 1980 - Behavioral and Brain Sciences 3 (3):424-425.
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  • The ‘causal power’ of machines.Zenon W. Pylyshyn - 1980 - Behavioral and Brain Sciences 3 (3):442-444.
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  • Computers, cognition and philosophy.Robert Wilensky - 1980 - Behavioral and Brain Sciences 3 (3):449-450.
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  • Brains + programs = minds.Bruce Bridgeman - 1980 - Behavioral and Brain Sciences 3 (3):427-428.
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  • How to turn an information processor into an understander.Aaron Sloman & Monica Croucher - 1980 - Behavioral and Brain Sciences 3 (3):447-448.
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  • The functionalist reply.William G. Lycan - 1980 - Behavioral and Brain Sciences 3 (3):434-435.
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  • Intentionality: Hardware, not software.Grover Maxwell - 1980 - Behavioral and Brain Sciences 3 (3):437-438.
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  • Bridging science and values: A unifying view of mind and brain.Roger W. Sperry - 1979 - Zygon 14 (March):7-21.
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  • The use and mention of terms and the simulation of linguistic understanding.Arthur C. Danto - 1980 - Behavioral and Brain Sciences 3 (3):428-428.
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  • The chess room: further demythologizing of strong AI.Roland Puccetti - 1980 - Behavioral and Brain Sciences 3 (3):441-442.
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  • The behaviorist reply.Howard Rachlin - 1980 - Behavioral and Brain Sciences 3 (3):444-444.
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  • Search for beliefs to live by consistent with science.R. W. Sperry - 1991 - Zygon 26 (2):237-258.
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  • The primary source of intentionality.Thomas Natsoulas - 1980 - Behavioral and Brain Sciences 3 (3):440-441.
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  • Understanding Searle.Roger C. Schank - 1980 - Behavioral and Brain Sciences 3 (3):446-447.
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