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  1. Épistémologie et intelligence artificielle.Yves Bouchard - 2020 - In André Lacroix (ed.), La philosophie pratique. Les Presses de l’Université de Laval. pp. 109-127.
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  • DEL-sequents for progression.Guillaume Aucher - 2011 - Journal of Applied Non-Classical Logics 21 (3-4):289-321.
    Dynamic Epistemic Logic (DEL) deals with the representation and the study in a multi-agent setting of knowledge and belief change. It can express in a uniform way epistemic statements about: 1. what is true about an initial situation 2. what is true about an event occurring in this situation 3. what is true about the resulting situation after the event has occurred. We axiomatize within the DEL framework what we can infer about (iii) given (i) and (ii). Given three formulas (...)
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  • La philosophie pratique.André Lacroix (ed.) - 2020 - Les Presses de l’Université de Laval.
    Le projet philosophique puise ses sources dans la volonté de proposer une explication rationnelle des phénomènes naturels et culturels qui constituent le monde dans lequel l’être humain prend place. Il a servi de trame culturelle à l’Occident et amené le déploiement d’appareils conceptuels où l’on distingue théorie et pratique. On doit toutefois reconnaître qu’une philosophie théorique peut avoir une portée pratique et l’inverse, puisque toute pratique suppose un ancrage théorique pour légitimer la connaissance et les systèmes normatifs à partir desquels (...)
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  • John McCarthy's legacy.Leora Morgenstern & Sheila A. McIlraith - 2011 - Artificial Intelligence 175 (1):1-24.
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  • Dynamic epistemic logics: promises, problems, shortcomings, and perspectives.Andreas Herzig - 2017 - Journal of Applied Non-Classical Logics 27 (3-4):328-341.
    Dynamic epistemic logics provide an account of the evolution of agents’ belief and knowledge when they learn the occurrence of an event. These logics started to become popular about 20 years ago and by now there exists a huge number of publications about them. The present paper briefly summarises the existing body of literature, discusses some problems and shortcomings, and proposes some avenues for future research.
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  • A Computational Learning Semantics for Inductive Empirical Knowledge.Kevin T. Kelly - 2014 - In Alexandru Baltag & Sonja Smets (eds.), Johan van Benthem on Logic and Information Dynamics. Springer International Publishing. pp. 289-337.
    This chapter presents a new semantics for inductive empirical knowledge. The epistemic agent is represented concretely as a learner who processes new inputs through time and who forms new beliefs from those inputs by means of a concrete, computable learning program. The agent’s belief state is represented hyper-intensionally as a set of time-indexed sentences. Knowledge is interpreted as avoidance of error in the limit and as having converged to true belief from the present time onward. Familiar topics are re-examined within (...)
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