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Computer Oriented Learning Processes: NATO Science Series E:, cartea 14

Editat de J. C. Simon
en Limba Engleză Paperback – 5 noi 2011

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Specificații

ISBN-13: 9789401015479
ISBN-10: 9401015473
Pagini: 604
Ilustrații: 601 p.
Dimensiuni: 156 x 244 x 32 mm
Ediția:Softcover reprint of the original 1st ed. 1976
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria NATO Science Series E:

Locul publicării:Dordrecht, Netherlands

Public țintă

Research

Cuprins

A 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.