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  1. Are species intelligent?: Not a yes or no question.Jonathan Schull - 1990 - Behavioral and Brain Sciences 13 (1):94-108.
    Plant and animal species are information-processing entities of such complexity, integration, and adaptive competence that it may be scientifically fruitful to consider them intelligent. The possibility arises from the analogy between learning and evolution, and from recent developments in evolutionary science, psychology and cognitive science. Species are now described as spatiotemporally localized individuals in an expanded hierarchy of biological entities. Intentional and cognitive abilities are now ascribed to animal, human, and artificial intelligence systems that process information adaptively, and that manifest (...)
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  • Reverse engineering and cognition panglossian memories?Jonathan Echeverri Álvarez & Liliana Chaves Castaño - 2014 - Ideas Y Valores 63 (155):145-170.
    Daniel C. Dennett ha dedicado una parte considerable de su obra a concebir una aplicación de la ingeniería inversa y el adaptacionismo para explicar la evolución de la mente humana. Dennet considera esta perspectiva como una posibilidad prometedora en el desarrollo de una psicología científica, en contraposición al "materialismo eliminacionista" de la neurociencia. En este artículo se expone una aproximación conceptual y se examina un antecedente filosófico en las discusiones sobre el adaptacionismo en biología y psicología evolutiva: la intencionalidad o (...)
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  • Misplaced predicates and misconstrued intelligence.Stanley N. Salthe - 1990 - Behavioral and Brain Sciences 13 (1):86-87.
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  • Are species intelligent? Look for genetic knowledge structures.J. David Smith - 1990 - Behavioral and Brain Sciences 13 (1):89-90.
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  • Neo-Lamarckism, or, The rediscovery of culture.Gary W. Strong - 1990 - Behavioral and Brain Sciences 13 (1):92-93.
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  • Similarities and dissimilarities between adaptation and learning.Mark H. Johnson - 1990 - Behavioral and Brain Sciences 13 (1):79-80.
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  • Species intelligence: Analogy without homology.James W. Kalat - 1990 - Behavioral and Brain Sciences 13 (1):80-80.
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  • “Intelligent” evolution and neo-Darwinian straw men.Elisabeth A. Lloyd - 1990 - Behavioral and Brain Sciences 13 (1):81-82.
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  • Which came first, the egg-problem or the hen-solution?Massimo Piattelli-Palmarini - 1990 - Behavioral and Brain Sciences 13 (1):84-86.
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  • Mental phenomena and behavior.B. Libet - 1980 - Behavioral and Brain Sciences 3 (3):434-434.
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  • Beliefs, machines, and theories.John McCarthy - 1980 - Behavioral and Brain Sciences 3 (3):435-435.
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  • A dualist-interactionist perspective.John C. Eccles - 1980 - Behavioral and Brain Sciences 3 (3):430-431.
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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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  • Programs, causal powers, and intentionality.John Haugeland - 1980 - Behavioral and Brain Sciences 3 (3):432-433.
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  • The new organology.Noam Chomsky - 1980 - Behavioral and Brain Sciences 3 (1):42-61.
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  • Knowledge and learning.Robert Van Gulick - 1980 - Behavioral and Brain Sciences 3 (1):40-42.
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  • Rules and causation.John R. Searle - 1980 - Behavioral and Brain Sciences 3 (1):37-38.
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  • What ever happened to deep structure?George Lakoff - 1980 - Behavioral and Brain Sciences 3 (1):22-23.
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  • Language learning versus grammar growth.Robert J. Matthews - 1980 - Behavioral and Brain Sciences 3 (1):25-26.
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  • iTabula si, rasa no!James D. McCawley - 1980 - Behavioral and Brain Sciences 3 (1):26-27.
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  • There are many modular theories of mind.Adam Morton - 1980 - Behavioral and Brain Sciences 3 (1):29-29.
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  • Understanding Searle.Roger C. Schank - 1980 - Behavioral and Brain Sciences 3 (3):446-447.
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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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  • Decentralized minds.Marvin Minsky - 1980 - Behavioral and Brain Sciences 3 (3):439-440.
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  • Science, philosophy, and interpretation.Daniel C. Dennett - 1988 - Behavioral and Brain Sciences 11 (3):535.
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  • Intentional system theory and experimental psychology.Michael H. Van Kleeck - 1988 - Behavioral and Brain Sciences 11 (3):533.
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  • What is the intentional stance?Gilbert Harman - 1988 - Behavioral and Brain Sciences 11 (3):515.
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  • The intentional stance and the knowledge level.Allen Newell - 1988 - Behavioral and Brain Sciences 11 (3):520.
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  • Another “Just So” story: How the leopardguarders spot.Dorothy Cheney & Robert Seyfarth - 1988 - Behavioral and Brain Sciences 11 (3):506.
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  • On the process of reinforcement.J. E. R. Staddon - 1988 - Behavioral and Brain Sciences 11 (3):467.
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  • Representations and misrepresentations.B. F. Skinner - 1984 - Behavioral and Brain Sciences 7 (4):655.
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  • “Mental way stations” in contemporary theories of animal learning.William S. Terry - 1984 - Behavioral and Brain Sciences 7 (4):649.
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  • The development of concepts of the mental world.Henry M. Wellman - 1984 - Behavioral and Brain Sciences 7 (4):651.
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  • The behaviorist concept of mind.David M. Rosenthal - 1984 - Behavioral and Brain Sciences 7 (4):643.
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  • “Behaviorism at fifty” at twenty.Roger Schnaitter - 1984 - Behavioral and Brain Sciences 7 (4):644.
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  • Cognitive science at seven: A wolf at the door for behaviorism?Miriam W. Schustack & Jaime G. Carbonell - 1984 - Behavioral and Brain Sciences 7 (4):645.
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  • B. F. Skinner's confused philosophy of science.Laurence Hitterdale - 1984 - Behavioral and Brain Sciences 7 (4):630.
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  • What's on the minds of children?Carl N. Johnson - 1984 - Behavioral and Brain Sciences 7 (4):632.
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  • Artificially intelligent mental models.Michael Lebowitz - 1984 - Behavioral and Brain Sciences 7 (4):633.
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  • Philosophy and the future of behaviorism.M. Jackson Marr - 1984 - Behavioral and Brain Sciences 7 (4):636.
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  • The Fruitful Metaphor, but a Metaphor, nonetheless.Marc Belth - 1984 - Behavioral and Brain Sciences 7 (4):622-623.
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  • Treading the primrose path of dalliance in psychology.B. A. Farrell - 1984 - Behavioral and Brain Sciences 7 (4):624.
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  • Consciousness, explanation, and the verbal community.Gordon G. Gallup - 1984 - Behavioral and Brain Sciences 7 (4):626.
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  • Functionalism, Computationalism, & Mental States.Gualtiero Piccinini - 2004 - Studies in History and Philosophy of Science 35 (4):811-833.
    Some philosophers have conflated functionalism and computationalism. I reconstruct how this came about and uncover two assumptions that made the conflation possible. They are the assumptions that (i) psychological functional analyses are computational descriptions and (ii) everything may be described as performing computations. I argue that, if we want to improve our understanding of both the metaphysics of mental states and the functional relations between them, we should reject these assumptions.
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  • Assessing evolutionary epistemology.Michael Bradie - 1986 - Biology and Philosophy 1 (4):401-459.
    There are two interrelated but distinct programs which go by the name evolutionary epistemology. One attempts to account for the characteristics of cognitive mechanisms in animals and humans by a straightforward extension of the biological theory of evolution to those aspects or traits of animals which are the biological substrates of cognitive activity, e.g., their brains, sensory systems, motor systems, etc. (EEM program). The other program attempts to account for the evaluation of ideas, scientific theories and culture in general by (...)
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  • Reasoning, logic and computation.Stewart Shapiro - 1995 - Philosophia Mathematica 3 (1):31-51.
    The idea that logic and reasoning are somehow related goes back to antiquity. It clearly underlies much of the work in logic, as witnessed by the development of computability, and formal and mechanical deductive systems, for example. On the other hand, a platitude is that logic is the study of correct reasoning; and reasoning is cognitive if anything Is. Thus, the relationship between logic, computation, and correct reasoning makes an interesting and historically central case study for mechanism. The purpose of (...)
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  • Turing and the origins of AI.Stuart Shanker - 1995 - Philosophia Mathematica 3 (1):52-85.
    Reading through Mechanica1 Intelligence, volume III of Alan Turing's Collected Works, one begins to appreciate just how propitious Turing's timing was. If Turing's major accomplishment in ‘On Computable Numbers’ was to expose the epistemological premises built into formalism, his main achievement in the 1940s was to recognize the extent to which this outlook both harmonized with and extended contemporary psychological thought. Turing sought to synthesize these diverse mathematical and psychological elements so as to forge a union between ‘embodied rules’ and (...)
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  • Mental illness, motivation and moral commitment.John Russell Roberts - 2001 - Philosophical Quarterly 51 (202):41-59.
    I present a dilemma which depressive behavioral pathology poses for both Humean and non-Humean theories of motivation and value. Although the dilemma shows that neither theory can be considered adequate in its standard form, I argue that if the Humean theory is modified so as to embrace a richer notion of satisfaction than it currently does, it can solve the problem which depression poses for it and, thus, the dilemma can be avoided. Embracing a richer notion of satisfaction not only (...)
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  • Unconscious subjectivity.Joseph U. Neisser - 2006 - PSYCHE: An Interdisciplinary Journal of Research On Consciousness 12.
    Subjectivity is essential to consciousness. But though subjectivity is necessary for consciousness it is not sufficient. In part one I derive a distinction between conscious awareness and unconscious subjectivity from a critique of Block’s (1995) distinction between access and phenomenal consciousness. In part two I contrast two historically influential models of unconscious thought: cognitive and psychoanalytic. The widely held cognitive model does not cover, as it should, the class of "for me" mental states that remain unconscious. In particular, personalist approaches (...)
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  • The nature and plausibility of cognitivism.John Haugeland - 1978 - Behavioral and Brain Sciences 1 (2):215-26.
    Cognitivism in psychology and philosophy is roughly the position that intelligent behavior can (only) be explained by appeal to internal that is, rational thought in a very broad sense. Sections 1 to 5 attempt to explicate in detail the nature of the scientific enterprise that this intuition has inspired. That enterprise is distinctive in at least three ways: It relies on a style of explanation which is different from that of mathematical physics, in such a way that it is not (...)
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