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Brainstorms

Philosophy of Science 47 (2):326-327 (1978)

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  1. Deep and shallow simulations.Aaron Sloman - 1981 - Behavioral and Brain Sciences 4 (4):548-548.
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  • Computational cognitive epigenetics.Aaron Sloman & Jackie Chappell - 2007 - Behavioral and Brain Sciences 30 (4):375-376.
    Jablonka & Lamb (J&L) refer only implicitly to aspects of cognitive competence that preceded both evolution of human language and language learning in children. These aspects are important for evolution and development but need to be understood using the design-stance, which the book adopts only for molecular and genetic processes, not for behavioural and symbolic processes. Design-based analyses reveal more routes from genome to behaviour than J&L seem to have considered. This both points to gaps in our understanding of evolution (...)
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  • Mario Bunge’s Materialist Theory of Mind and Contemporary Cognitive Science.Peter Slezak - 2012 - Science & Education 21 (10):1475-1484.
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  • Mario Bunge: Matter and Mind: A Philosophical Inquiry.Peter Slezak - 2012 - Science & Education 21 (8):1213-1221.
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  • Conditional probability, taxicabs, and martingales.Brian Skyrms - 1981 - Behavioral and Brain Sciences 4 (3):351-352.
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  • Can computers carry content "inexplicitly"?Paul G. Skokowski - 1994 - Minds and Machines 4 (3):333-44.
    I examine whether it is possible for content relevant to a computer''s behavior to be carried without an explicit internal representation. I consider three approaches. First, an example of a chess playing computer carrying emergent content is offered from Dennett. Next I examine Cummins response to this example. Cummins says Dennett''s computer executes a rule which is inexplicitly represented. Cummins describes a process wherein a computer interprets explicit rules in its program, implements them to form a chess-playing device, then this (...)
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  • Some consequences of selection.B. F. Skinner - 1984 - Behavioral and Brain Sciences 7 (4):502-510.
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  • Is it behaviorism?B. F. Skinner - 1986 - Behavioral and Brain Sciences 9 (4):716-716.
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  • Contingencies and rules.B. F. Skinner - 1984 - Behavioral and Brain Sciences 7 (4):607-613.
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  • Behaviorism at fifty.B. F. Skinner - 1984 - Behavioral and Brain Sciences 7 (4):615.
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  • An operant analysis of problem solving.B. F. Skinner - 1984 - Behavioral and Brain Sciences 7 (4):583-591.
    Behavior that solves a problem is distinguished by the fact that it changes another part of the solver's behavior and is strengthened when it does so. Problem solving typically involves the construction of discriminative stimuli. Verbal responses produce especially useful stimuli, because they affect other people. As a culture formulates maxims, laws, grammar, and science, its members behave more effectively without direct or prolonged contact with the contingencies thus formulated. The culture solves problems for its members, and does so by (...)
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  • The neurophysiology of consicousness and the unconscious.Christine A. Skarda - 1990 - Behavioral and Brain Sciences 13 (4):625-626.
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  • Adaptation and natural selection: A new look at some old ideas.Jeffry A. Simpson - 1994 - Behavioral and Brain Sciences 17 (4):634-636.
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  • Knowing children's minds.Michael Siegal - 1993 - Behavioral and Brain Sciences 16 (1):79-80.
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  • Special access lies down with theory-theory.Sydney Shoemaker - 1993 - Behavioral and Brain Sciences 16 (1):78-79.
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  • The development of theory: Logic of method or underlying processes?Charles P. Shimp - 1985 - Behavioral and Brain Sciences 8 (3):511-512.
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  • Theory-laden concepts: Great, but what is the next step?Charles P. Shimp - 1986 - Behavioral and Brain Sciences 9 (4):666-667.
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  • “Suspicion,” “fear,” “contamination,” “great dangers,” and behavioral fictions.Charles P. Shimp - 1986 - Behavioral and Brain Sciences 9 (4):715-716.
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  • Molar behaviorism, positivism, and pain.Charles P. Shimp - 1985 - Behavioral and Brain Sciences 8 (1):71-72.
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  • What is an agent that it experiences P-consciousness? And what is P-consciousness that it moves an agent?Roger N. Shepard - 1995 - Behavioral and Brain Sciences 18 (2):267-268.
    If phenomenal consciousness is distinct from the computationally based access-consciousness that controls overt behavior, how can I tell which things (other than myself) enjoy phenomenal consciousness? And if phenomenal consciousness 'plays no role in controlling overt behavior, how do human bodies come to write target articles arguing for the existence of phenomenal consciousness?
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  • Unconscious mental states do have an aspectual shape.Howard Shevrin - 1990 - Behavioral and Brain Sciences 13 (4):624-625.
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  • Metaphor versus reality in the understanding of imagery: the path from function to structure.Peter W. Sheehan - 1979 - Behavioral and Brain Sciences 2 (4):567-568.
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  • A lawful first-person psychology involving a causal consciousness: A psychoanalytic solution.Howard Shevrin - 1991 - Behavioral and Brain Sciences 14 (4):693-694.
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  • The image-like and the language-like.Benny Shanon - 1979 - Behavioral and Brain Sciences 2 (4):566-567.
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  • Pain without behavior: Inhibition of reactions to sensation.Kelly G. Shaver & Jana J. Herrman - 1985 - Behavioral and Brain Sciences 8 (1):71-71.
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  • Computation and intentionality: A recipe for epistemic impasse.Itay Shani - 2005 - Minds and Machines 15 (2):207-228.
    Searle’s celebrated Chinese room thought experiment was devised as an attempted refutation of the view that appropriately programmed digital computers literally are the possessors of genuine mental states. A standard reply to Searle, known as the “robot reply” (which, I argue, reflects the dominant approach to the problem of content in contemporary philosophy of mind), consists of the claim that the problem he raises can be solved by supplementing the computational device with some “appropriate” environmental hookups. I argue that not (...)
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  • Abstract machine theory and direct perception.Robert Shaw & James Todd - 1980 - Behavioral and Brain Sciences 3 (3):400-401.
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  • Applying global workspace theory to the frame problem.Murray Shanahan & Bernard Baars - 2005 - Cognition 98 (2):157-176.
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  • A willingness to be vulnerable: norm psychology and human–robot relationships.Stephen A. Setman - 2021 - Ethics and Information Technology 23 (4):815-824.
    Should we welcome social robots into interpersonal relationships? In this paper I show that an adequate answer to this question must take three factors into consideration: (1) the psychological vulnerability that characterizes ordinary interpersonal relationships, (2) the normative significance that humans attach to other people’s attitudes in such relationships, and (3) the tendency of humans to anthropomorphize and “mentalize” artificial agents, often beyond their actual capacities. I argue that we should welcome social robots into interpersonal relationships only if they are (...)
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  • Norman Malcolm: A Memoir.Anthony Serafini - 1993 - Philosophy 68 (265):309-324.
    I first met Norman Malcolm in the fall of 1963 when, as a terrified sophomore, I took his course in Free Will and Determinism at Cornell. I believe I had already heard that Malcolm was a figure of almost legendary proportions.
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  • Norman Malcolm: A Memoir.Anthony Serafini - 1993 - Philosophy 68 (265):309-324.
    I first met Norman Malcolm in the fall of 1963 when, as a terrified sophomore, I took his course in Free Will and Determinism at Cornell. I believe I had already heard that Malcolm was a figure of almost legendary proportions.
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  • Who is computing with the brain?John R. Searle - 1990 - Behavioral and Brain Sciences 13 (4):632-642.
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  • Scientific Anti-Realism and the Epistemic Community.William Seager - 1988 - PSA Proceedings of the Biennial Meeting of the Philosophy of Science Association 1988 (1):181-187.
    The ability to observe is the ability to reliably detect, but that is not all observation is. A thermometer reliably detects temperature yet does not observe the temperature, whereas I do, even though in terms of reliability I cannot match the thermometer. An observation is detection accompanied by active classification and, typically, the subsequent formation of opinion. Even when we say of an animal that it can see something we mean more than that it reliably detects things of a certain (...)
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  • Rules and causation.John R. Searle - 1980 - Behavioral and Brain Sciences 3 (1):37-38.
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  • Intrinsic intentionality.John Searle - 1980 - Behavioral and Brain Sciences 3 (3):450-457.
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  • When functions are causes.Jonathan Schull - 1990 - Behavioral and Brain Sciences 13 (4):622-624.
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  • Understanding Searle.Roger C. Schank - 1980 - Behavioral and Brain Sciences 3 (3):446-447.
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  • The learning of function and the function of learning.Roger C. Schank, Gregg C. Collins & Lawrence E. Hunter - 1986 - Behavioral and Brain Sciences 9 (4):672-686.
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  • Transcending inductive category formation in learning.Roger C. Schank, Gregg C. Collins & Lawrence E. Hunter - 1986 - Behavioral and Brain Sciences 9 (4):639-651.
    The inductive category formation framework, an influential set of theories of learning in psychology and artificial intelligence, is deeply flawed. In this framework a set of necessary and sufficient features is taken to define a category. Such definitions are not functionally justified, are not used by people, and are not inducible by a learning system. Inductive theories depend on having access to all and only relevant features, which is not only impossible but begs a key question in learning. The crucial (...)
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  • The gentrification of behaviorism.Roger Schnaitter - 1986 - Behavioral and Brain Sciences 9 (4):714-715.
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  • Simulation, simplicity, and selection: an evolutionary perspective on high-level mindreading. [REVIEW]Armin Schulz - 2011 - Philosophical Studies 152 (2):271 - 285.
    In this paper, I argue that a natural selection-based perspective gives reasons for thinking that the core of the ability to mindread cognitively complex mental states is subserved by a simulationist process—that is, that it relies on nonspecialised mechanisms in the attributer's cognitive architecture whose primary function is the generation of her own decisions and inferences. In more detail, I try to establish three conclusions. First, I try to make clearer what the dispute between simulationist and non-simulationist theories of mindreading (...)
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  • Selectionism, mentalisms, and behaviorism.Jonathan Schull - 1984 - Behavioral and Brain Sciences 7 (4):497-498.
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  • Propositional attitude psychology as an ideal type.Justin Schwartz - 1992 - Topoi 11 (1):5-26.
    This paper critiques the view, widely held by philosophers of mind and cognitive scientists, that psychological explanation is a matter of ascribing propositional attitudes (such as beliefs and desires) towards language-like propositions in the mind, and that cognitive mental states consist in intentional attitudes towards propositions of a linguistic quasi-linguistic nature. On this view, thought is structured very much like a language. Denial that propositional attitude psychology is an adequate account of mind is therefore, on this view, is tantamount to (...)
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  • Isn't the first-person perspective a bad third-person perspective?W. Schaeken & G. D'Ydewalle - 1991 - Behavioral and Brain Sciences 14 (4):692-693.
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  • Functional explanation and metaphysical individualism.Justin Schwartz - 1993 - Philosophy of Science 60 (2):278-301.
    G. A. Cohen defends and Jon Elster criticizes Marxist use of functional explanation. But Elster's mechanical conception of explanation is, contrary to Elster's claims, a better basis for vindication of functional explanation than Cohen's nomological conception, which cannot provide an adequate account of functional explanation. Elster also objects that functional explanation commits us to metaphysically bizarre collective subjects, but his argument requires an implausible reading of methodological individualism which involves an unattractive eliminativism about social phenomena.
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  • Enacting musical emotions. sense-making, dynamic systems, and the embodied mind.Andrea Schiavio, Dylan van der Schyff, Julian Cespedes-Guevara & Mark Reybrouck - 2017 - Phenomenology and the Cognitive Sciences 16 (5):785-809.
    The subject of musical emotions has emerged only recently as a major area of research. While much work in this area offers fascinating insights to musicological research, assumptions about the nature of emotional experience seem to remain committed to appraisal, representations, and a rule-based or information-processing model of cognition. Over the past three decades alternative ‘embodied’ and ‘enactive’ models of mind have challenged this approach by emphasising the self-organising aspects of cognition, often describing it as an ongoing process of dynamic (...)
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  • Al, imagery, and theories.Roger C. Schank - 1979 - Behavioral and Brain Sciences 2 (4):566-566.
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  • An artificial intelligence perspective on Chomsky's view of language.Roger C. Schank - 1980 - Behavioral and Brain Sciences 3 (1):35-37.
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  • New wine in old glasses?Joseph M. Scandura - 1984 - Behavioral and Brain Sciences 7 (4):602-603.
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  • Intentionality and communication theory.K. M. Sayre - 1986 - Behavioral and Brain Sciences 9 (1):155-165.
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