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  1. Intelligent Behaviour.Dimitri Coelho Mollo - forthcoming - Erkenntnis:1-18.
    The notion of intelligence is relevant to several fields of research, including cognitive and comparative psychology, neuroscience, artificial intelligence, and philosophy, among others. However, there is little agreement within and across these fields on how to characterise and explain intelligence. I put forward a behavioural, operational characterisation of intelligence that can play an integrative role in the sciences of intelligence, as well as preserve the distinctive explanatory value of the notion, setting it apart from the related concepts of cognition and (...)
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  2. L'intelligenza tra natura e cultura.Davide Serpico - 2022 - Turin: Rosenberg & Sellier.
    ENG: We all have our own ideas about what it is like to be intelligent. Indeed, even the experts disagree on this topic. This has generated diverse theories on the nature of intelligence and its genetic and environmental bases. Many scientific and philosophical questions thus remain unaddressed: is it possible to characterize intelligence in scientific terms? What do IQ tests measure? How is intelligence influenced by genetics, epigenetics, and the environment? What are the ethical and social implications of the research (...)
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  3. G as Bridge Model.Devin Sanchez Curry - 2021 - Philosophy of Science 88 (5):1067-1078.
    Psychometric g—a statistical factor capturing intercorrelations between scores on different IQ tests—is of theoretical interest despite being a low-fidelity model of both folk psychological intelligence and its cognitive/neural underpinnings. Psychometric g idealizes away from those aspects of cognitive/neural mechanisms that are not explanatory of the relevant variety of folk psychological intelligence, and it idealizes away from those varieties of folk psychological intelligence that are not generated by the relevant cognitive/neural substrate. In this manner, g constitutes a high-fidelity bridge model of (...)
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  4. How to Count Biological Minds: Symbiosis, the Free Energy Principle, and Reciprocal Multiscale Integration.Matthew Sims - 2020 - Synthese 199 (1-2):2157-2179.
    The notion of a physiological individuals has been developed and applied in the philosophy of biology to understand symbiosis, an understanding of which is key to theorising about the major transition in evolution from multi-organismality to multi-cellularity. The paper begins by asking what such symbiotic individuals can help to reveal about a possible transition in the evolution of cognition. Such a transition marks the movement from cooperating individual biological cognizers to a functionally integrated cognizing unit. Somewhere along the way, did (...)
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  5. Formal Theory of Thinking.Anton Venglovskiy - manuscript
    The definition of thinking in general form is given. The constructive logic of thinking is formulated. An algorithm capable of arbitrarily complex thinking is built. I am proposing a model of super-abstract self-organizing, algorithmic chaos, which, in my opinion, is the algorithmic mind at its ideal, purest form. This mind can spontaneously evolve and produce knowledge, but it has no a priori knowledge about any world. The algorithm behavior is logical and evolves through generalizations to any given complexity of behavior.
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