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  1. Interaction-Dominant Causation in Mind and Brain, and Its Implication for Questions of Generalization and Replication.Sebastian Wallot & Damian G. Kelty-Stephen - 2018 - Minds and Machines 28 (2):353-374.
    The dominant assumption about the causal architecture of the mind is, that it is composed of a stable set of components that contribute independently to relevant observables that are employed to measure cognitive activity. This view has been called component-dominant dynamics. An alternative has been proposed, according to which the different components are not independent, but fundamentally interdependent, and are not stable basic properties of the mind, but rather an emergent feature of the mind given a particular task context. This (...)
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  • Clinical artificial intelligence.Virginia Teller & Hartvig Dahl - 1981 - Behavioral and Brain Sciences 4 (4):549-550.
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  • Is PARRY paranoid?David W. Swanson - 1981 - Behavioral and Brain Sciences 4 (4):548-549.
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  • Deep and shallow simulations.Aaron Sloman - 1981 - Behavioral and Brain Sciences 4 (4):548-548.
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  • Evaluation of a model's test.Russell Revlin - 1981 - Behavioral and Brain Sciences 4 (4):547-548.
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  • Psychiatry and computers: An uneasy synthesis.William H. Reid & John F. Riedler - 1981 - Behavioral and Brain Sciences 4 (4):547-547.
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  • The dichotomous predicament of contemporary psychology.V. Pinkava - 1981 - Behavioral and Brain Sciences 4 (4):546-547.
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  • Modeling paranoia: The cargo cult metaphor.Keith Oatley - 1981 - Behavioral and Brain Sciences 4 (4):545-546.
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  • Al and cargo cult science.James Moor - 1981 - Behavioral and Brain Sciences 4 (4):544-545.
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  • PARRY and the evaluation of cognitive models.James R. Miller - 1981 - Behavioral and Brain Sciences 4 (4):543-544.
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  • Testing the components of a computer model.Brendan A. Maher - 1981 - Behavioral and Brain Sciences 4 (4):543-543.
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  • Colby's model for paranoia: It's made well, but what is it?Peter A. Magaro & Harvey G. Shulman - 1981 - Behavioral and Brain Sciences 4 (4):542-543.
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  • How smart must you be to be crazy?Robert Lindsay - 1981 - Behavioral and Brain Sciences 4 (4):541-542.
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  • On the generality of PARRY, Colby's paranoia model.Manfred Kochen - 1981 - Behavioral and Brain Sciences 4 (4):540-541.
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  • Colby's paranoia model: An old theory in a new frame?C. E. Izard & F. A. Masterson - 1981 - Behavioral and Brain Sciences 4 (4):539-540.
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  • Paranoia concerning program-resistant aspects of the mind - and let's drop rocks on Turing's toes again.Keith Gunderson - 1981 - Behavioral and Brain Sciences 4 (4):537-539.
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  • Parrying.Kenneth Mark Colby - 1981 - Behavioral and Brain Sciences 4 (4):550-560.
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  • Modeling a paranoid mind.Kenneth Mark Colby - 1981 - Behavioral and Brain Sciences 4 (4):515-534.
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  • Issues in computer modeling of cognitive phenomena: An artificial intelligence perspective.Jaime G. Carbonell - 1981 - Behavioral and Brain Sciences 4 (4):536-537.
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  • Simulation?Joseph Agassi - 1981 - Behavioral and Brain Sciences 4 (4):535-536.
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  • Going after PARRY.Robert P. Abelson - 1981 - Behavioral and Brain Sciences 4 (4):534-535.
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  • Artificial consciousness: A perspective from the free energy principle.Wanja Wiese - manuscript
    Could a sufficiently detailed computer simulation of consciousness replicate consciousness? In other words, is performing the right computations sufficient for artificial consciousness? Or will there remain a difference between simulating and being a conscious system, because the right computations must be implemented in the right way? From the perspective of Karl Friston's free energy principle, self-organising systems (such as living organisms) share a set of properties that could be realised in artificial systems, but are not instantiated by computers with a (...)
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  • The philosophy of computer science.Raymond Turner - 2013 - Stanford Encyclopedia of Philosophy.
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  • How minds can be computational systems.William J. Rapaport - 1998 - Journal of Experimental and Theoretical Artificial Intelligence 10 (4):403-419.
    The proper treatment of computationalism, as the thesis that cognition is computable, is presented and defended. Some arguments of James H. Fetzer against computationalism are examined and found wanting, and his positive theory of minds as semiotic systems is shown to be consistent with computationalism. An objection is raised to an argument of Selmer Bringsjord against one strand of computationalism, namely, that Turing-Test± passing artifacts are persons, it is argued that, whether or not this objection holds, such artifacts will inevitably (...)
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