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  1. Consciousness of oneself as object and as subject. Proposal for an evolutionary approach (TSC 2014).Christophe Menant - manuscript
    We humans experience ourselves as objects and as subjects. The distinction initiated by Kant between consciousness of oneself as object and consciousness of oneself as subject was a strict one. The rigidity of that distinction has been challenged by philosophers from the continental and the analytic traditions [1]. From another perspective, researches about animal self-awareness are widening the horizon of studies relative to the nature of self-consciousness [2]. These various perspectives introduce the interest about addressing consciousness of oneself as object (...)
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  • 2 Life and Cognition.Margaret Boden - 2001 - In João Branquinho (ed.), The Foundations of Cognitive Science. Oxford University Press UK. pp. 11.
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  • Computation on Information, Meaning and Representations. An Evolutionary Approach (World Scientific 2011).Christophe Menant - 2011 - In Gordana Dodig Crnkovic & Mark Burgin (eds.), Information and computation: Essays on scientific and philosophical understanding of foundations of information and computation. World Scientific. pp. 255-286.
    Understanding computation as “a process of the dynamic change of information” brings to look at the different types of computation and information. Computation of information does not exist alone by itself but is to be considered as part of a system that uses it for some given purpose. Information can be meaningless like a thunderstorm noise, it can be meaningful like an alert signal, or like the representation of a desired food. A thunderstorm noise participates to the generation of meaningful (...)
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  • Turing Test, Chinese Room Argument, Symbol Grounding Problem. Meanings in Artificial Agents (APA 2013).Christophe Menant - 2013 - American Philosophical Association Newsletter on Philosophy and Computers 13 (1):30-34.
    The Turing Test (TT), the Chinese Room Argument (CRA), and the Symbol Grounding Problem (SGP) are about the question “can machines think?” We propose to look at these approaches to Artificial Intelligence (AI) by showing that they all address the possibility for Artificial Agents (AAs) to generate meaningful information (meanings) as we humans do. The initial question about thinking machines is then reformulated into “can AAs generate meanings like humans do?” We correspondingly present the TT, the CRA and the SGP (...)
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  • Information and meaning (Entropy 2003).Christophe Menant - 2003 - Entropy 5:193-204.
    We propose here to clarify some of the relations existing between information and meaning by showing how meaningful information can be generated by a system submitted to a constraint. We build up definitions and properties for meaningful information, a meaning generator system and the domain of efficiency of a meaning (to cover cases of meaningful information transmission). Basic notions of information processing are used.
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  • Extended life.Ezequiel Di Paolo - 2008 - Topoi 28 (1):9-21.
    This paper reformulates some of the questions raised by extended mind theorists from an enactive, life/mind continuity perspective. Because of its reliance on concepts such as autopoiesis, the enactive approach has been deemed internalist and thus incompatible with the extended mind hypothesis. This paper answers this criticism by showing (1) that the relation between organism and cogniser is not one of co-extension, (2) that cognition is a relational phenomenon and thereby has no location, and (3) that the individuality of a (...)
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