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  1. Kinds Of Minds: Toward An Understanding Of Consciousness.Danile C. Dennett - 1997 - Basic Books.
    Combining ideas from philosophy, artificial intelligence, and neurobiology, Daniel Dennett leads the reader on a fascinating journey of inquiry, exploring such intriguing possibilities as: Can any of us really know what is going on in someone else's mind? What distinguishes the human mind from the minds of animals, especially those capable of complex behavior? If such animals, for instance, were magically given the power of language, would their communities evolve an intelligence as subtly discriminating as ours? Will robots, once they (...)
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  • Bias in Mental Testing.Arthur R. Jensen - 1981 - British Journal of Educational Studies 29 (2):189-190.
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  • Numerical competence in animals: Definitional issues, current evidence, and a new research agenda.Hank Davis & Rachelle Pérusse - 1988 - Behavioral and Brain Sciences 11 (4):561-579.
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  • Selection by consequences.B. F. Skinner - 1984 - Behavioral and Brain Sciences 7 (4):477-481.
    Human behavior is the joint product of (i) contingencies of survival responsible for natural selection, and (ii) contingencies of reinforcement responsible for the repertoires of individuals, including (iii) the special contingencies maintained by an evolved social environment. Selection by consequences is a causal mode found only in living things, or in machines made by living things. It was first recognized in natural selection: Reproduction, a first consequence, led to the evolution of cells, organs, and organisms reproducing themselves under increasingly diverse (...)
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  • (1 other version)The sciences of the artificial.Herbert Alexander Simon - 1969 - [Cambridge,: M.I.T. Press.
    Continuing his exploration of the organization of complexity and the science of design, this new edition of Herbert Simon's classic work on artificial ...
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  • The Modularity of Mind: An Essay on Faculty Psychology.Jerry A. Fodor - 1983 - Cambridge, MA: MIT Press.
    One of the most notable aspects of Fodor's work is that it articulates features not only of speculative cognitive architectures but also of current research in ...
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  • How Can Evolution Learn?Richard A. Watson & Eörs Szathmáry - 2016 - Trends in Ecology and Evolution 31 (2):147--157.
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  • The evolution of general intelligence.Judith M. Burkart, Michèle N. Schubiger & Carel P. van Schaik - 2017 - Behavioral and Brain Sciences 40:e195.
    The presence of general intelligence poses a major evolutionary puzzle, which has led to increased interest in its presence in nonhuman animals. The aim of this review is to critically evaluate this question and to explore the implications for current theories about the evolution of cognition. We first review domain-general and domain-specific accounts of human cognition in order to situate attempts to identify general intelligence in nonhuman animals. Recent studies are consistent with the presence of general intelligence in mammals (rodents (...)
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  • Mind Tools: The Five Levels of Mathematical Reality.Rudy Rucker - 2013 - Courier Corporation.
    Originally published: Boston: Houghton Mifflin, 1987.
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  • The comparative psychology of intelligence.Euan M. Macphail - 1987 - Behavioral and Brain Sciences 10 (4):645.
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  • The architecture of representation.Rick Grush - 1997 - Philosophical Psychology 10 (1):5-23.
    b>: In this article I outline, apply, and defend a theory of natural representation. The main consequences of this theory are: i) representational status is a matter of how physical entities are used, and specifically is not a matter of causation, nomic relations with the intentional object, or information; ii) there are genuine (brain-)internal representations; iii) such representations are really representations, and not just farcical pseudo-representations, such as attractors, principal components, state-space partitions, or what-have-you;and iv) the theory allows us to (...)
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  • Relativizing innateness: innateness as the insensitivity of the appearance of a trait with respect to specified environmental variation.Elizabeth O’Neill - 2015 - Biology and Philosophy 30 (2):211-225.
    I object to eliminativism about innateness and André Ariew’s identification of innateness with canalization, and I propose a new treatment of innateness. I first argue that the concept of innateness is serving a valuable function in a diverse set of research contexts, and in these contexts, claims about innateness are best understood as claims about the insensitivity of the appearance of a trait to certain variations in the environment. I then argue that innateness claims, like claims about canalization, should be (...)
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  • (1 other version)The Modularity of Mind.Robert Cummins & Jerry Fodor - 1983 - Philosophical Review 94 (1):101.
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  • Addition and subtraction by human infants. 358 (6389), 749-750. Xu, F., & Spelke, ES (2000). Large number discrimination in 6-month-old infants. [REVIEW]Karen Wynn - 1992 - Cognition 74 (1).
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  • Representations in animal cognition: An introduction.C. R. Gallistel - 1990 - Cognition 37 (1-2):1-22.
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  • Bony argument.Irving Kupfermann - 1987 - Behavioral and Brain Sciences 10 (4):673.
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  • Mind Tools. The Five Levels of Mathematical Reality.Raymond M. Smullyan & Rudy Rucker - 1988 - Journal of Symbolic Logic 53 (4):1254.
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