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Pierre Bessière

Biographic Data

ID1716452
NAMEPierre Bessière
GIVEN NAMESPierre
FAMILY NAMEBessière
SIGNATUREBESSIÈRE P
AFFILIATIONSSorbonne Université
ORCID0000-0002-8620-2505
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS9
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1998
LATEST PUBLICATION YEAR2016
H-INDEX1
  • Modèles probabilistes formels pour problèmes cognitifs usuels

    Pierre Bessière, Julien Diard et al.•ARTICLE•Intellectica Revue de l…•2016•References: 1

    Formal probabilistic models for common cognitive problems. How can an incomplete and uncertain model of the environment be used to perceive, infer, decide and act efficiently ? This is the challenge that both living and artificial cognitive systems have to face. Symbolic logic is, by its nature, unable to deal with this question. The subjectivist approach to probability is an extension to logic that is designed specifically to face this challenge…

  • "Cosmo ("Communicating about Objects using Sensory-Motor Operations)

    Open Access•Clément Moulin-Frier, Julien Diard et al.•ARTICLE•Journal of Phonetics•2015•Cited by: 9•References: 79

    While the origin of language remains a somewhat mysterious process, understanding how human language takes specific forms appears to be accessible by the experimental method. Languages, despite their wide variety, display obvious regularities. In this paper, we attempt to derive some properties of phonological systems (the sound systems for human languages) from speech communication principles. We introduce a model of the cognitive architecture o…

  • II. Fondements mathématiques de l'approche F+D

    Pierre Bessière, Éric Dedieu et al.•ARTICLE•Intellectica Revue de l…•1998

    Mathematical foundations of the F+D approach. This paper is a continuation of the paper entitled "Interprétation ou Description (I) : Proposition pour une théorie probabiliste des systèmes cognitifs sensori-moteurs". Its purpose is to introduce the mathematical basis of the F+D approach presented in the first paper. The two fundamental components needed in our approach are discussed. On the one hand, the formal rules to reason about uncertain and…

  • I. Proposition pour une théorie probabiliste des systèmes cognitifs sensori-moteurs

    Pierre Bessière, Éric Dedieu et al.•ARTICLE•Intellectica Revue de l…•1998

    Jusqu'à quel point agir et percevoir supposent-ils de "comprendre" ou même plus simplement de se "représenter" le monde ? Telle est l'une des préoccupations fondamentales des recherches sur la sensori-motricité. Elle est au centre de nombreux débats en sciences cognitives. Cette question une fois formalisée, expurgée, simplifiée et traduite en termes mathématiques, nous amène à nous interroger tout au long de cet article, sur les liens qui peuven…

  • "Cosmo ("Communicating about Objects using Sensory-Motor Operations)

    Open Access•Clément Moulin-Frier, Julien Diard et al.•ARTICLE•Journal of Phonetics•2015•Cited by: 9•References: 79

    While the origin of language remains a somewhat mysterious process, understanding how human language takes specific forms appears to be accessible by the experimental method. Languages, despite their wide variety, display obvious regularities. In this paper, we attempt to derive some properties of phonological systems (the sound systems for human languages) from speech communication principles. We introduce a model of the cognitive architecture o…

  • II. Fondements mathématiques de l'approche F+D

    Pierre Bessière, Éric Dedieu et al.•ARTICLE•Intellectica Revue de l…•1998

    Mathematical foundations of the F+D approach. This paper is a continuation of the paper entitled "Interprétation ou Description (I) : Proposition pour une théorie probabiliste des systèmes cognitifs sensori-moteurs". Its purpose is to introduce the mathematical basis of the F+D approach presented in the first paper. The two fundamental components needed in our approach are discussed. On the one hand, the formal rules to reason about uncertain and…

  • I. Proposition pour une théorie probabiliste des systèmes cognitifs sensori-moteurs

    Pierre Bessière, Éric Dedieu et al.•ARTICLE•Intellectica Revue de l…•1998

    Jusqu'à quel point agir et percevoir supposent-ils de "comprendre" ou même plus simplement de se "représenter" le monde ? Telle est l'une des préoccupations fondamentales des recherches sur la sensori-motricité. Elle est au centre de nombreux débats en sciences cognitives. Cette question une fois formalisée, expurgée, simplifiée et traduite en termes mathématiques, nous amène à nous interroger tout au long de cet article, sur les liens qui peuven…

  • "Cosmo ("Communicating about Objects using Sensory-Motor Operations)

    Open Access•Clément Moulin-Frier, Julien Diard et al.•ARTICLE•Journal of Phonetics•2015•Cited by: 9•References: 79

    While the origin of language remains a somewhat mysterious process, understanding how human language takes specific forms appears to be accessible by the experimental method. Languages, despite their wide variety, display obvious regularities. In this paper, we attempt to derive some properties of phonological systems (the sound systems for human languages) from speech communication principles. We introduce a model of the cognitive architecture o…

  • Modèles probabilistes formels pour problèmes cognitifs usuels

    Pierre Bessière, Julien Diard et al.•ARTICLE•Intellectica Revue de l…•2016•References: 1

    Formal probabilistic models for common cognitive problems. How can an incomplete and uncertain model of the environment be used to perceive, infer, decide and act efficiently ? This is the challenge that both living and artificial cognitive systems have to face. Symbolic logic is, by its nature, unable to deal with this question. The subjectivist approach to probability is an extension to logic that is designed specifically to face this challenge…

Computer Science (3 works) · Philosophy (3 works) · AI-based Problem Solving and Planning (2 works) · Artificial Intelligence (2 works) · Epistemology (2 works) · Psychology (2 works) · Semantic Web and Ontologies (2 works) · Artificial Intelligence (1 work) · Bayesian probability (1 work) · Cognition (1 work)

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