II. Fondements mathématiques de l'approche F+D
Bibliographic Data
| ID | 14815567 |
|---|---|
| Authors | Pierre Bessière (0000-0002-8620-2505), Éric Dedieu, Olivier Lebeltel, Emmanuel Mazeret, Kamel Mekhnacha |
| Year | 1998 |
| Volume | 26 |
| Issue | 1 |
| Pages | 313-336 |
| Publication date | 1998-01-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Intellectica Revue de l Association pour la Recherche Cognitive (JOURNAL) |
| Journal identifiers | ISSN: 0769-4113 • E-ISSN: 2273-9262 |
| Publisher | PERSEE Program (PUBLISHER) |
| DOI | 10.3406/intel.1998.1583 |
| OpenAlex | W2900201498 |
| Language | FR |
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 incomplete knowledge. On the other hand, the maximum entropy principle, which clarifies the link between "descriptions" and experiments and offers a clear and sound theoretical framework for learning
Continuation · Epistemology · Geometry · Mathematical economics · Proposition · AI-based Problem Solving and Planning · Cognitive Science and Mapping · Computer Science · Mathematics · Philosophy · Semantic Web and Ontologies
| Highly cited | No |
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