Computer Oriented Learning Processes
J. C. Simon
Sold by AHA-BUCH GmbH, Einbeck, Germany
AbeBooks Seller since August 14, 2006
New - Soft cover
Condition: New
Ships from Germany to U.S.A.
Quantity: 1 available
Add to basketSold by AHA-BUCH GmbH, Einbeck, Germany
AbeBooks Seller since August 14, 2006
Condition: New
Quantity: 1 available
Add to basketDruck auf Anfrage Neuware - Printed after ordering - InhaltsangabeA Review of Computer Oriented Learning Processes/Une revue des procédures informatiques dites d'apprentissage.- 1. Adaptive Numerical Processes.- Modèles d'apprentissage.- 2. The Stochastic Automata.- Learning with Stochastic Automata and Stochastic Languages.- Learning in Fuzzy Machines.- Learning Decision-making with Fuzzy Automata.- 3. Inference of Formal Grammars.- Some Experiments in Grammatical Inference.- Non-counting Languages and Learning.- Grammatical Inference on Natural Language Samples in the Framework.- Natural Language Acquisition by Robot.- A System Able to Learn a Language as a Model of Intelligence.- 4. Pattern Recognition.- Generation of Recognition Operators by Stochastic and Heuristic Learning.- Entropie quadratique et reconnaissance des formes.- Etude de diverses heuristiques pour des processus d'interrogation.- Feature Selection Using Mutual Information.- Apprentissage et mesures de ressemblances adaptatives.- Learning by Inductive Inference.- 5. Learning to Play a Game.- Learning to Solve Games and Puzzles.- Additive Features in Positional Games.- Realization of a Program Learning to Find Combinations at Chess.- 6. Robotics and Problem Solving.- Procedural Learning in Worlds of Robots.- Automatic Synthesis of SNOBOL Programs.- Design of an Interactive Environment to Study the Behaviour of Several Robots Which Can Learn, Plan Their Actions and Coexist.- A General Approach to Learning in Problem Solving.- Project of a System Learning a Goal Oriented Behaviour.- 7. Interactive Model Formation by Inductive Inference.- Scientific Theory Formation by Computer.- Planning Paradigms: Knowledge for Organizing Models into Programs.- Semantic Memory and Procedural Learning.- Empirical Prediction Algorithms.- List of Participants.
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