x
Computer Oriented Learning Processes | ISBN 9789028604759

Computer Oriented Learning Processes

herausgegeben von J.C. Simon
Buchcover Computer Oriented Learning Processes  | EAN 9789028604759 | ISBN 90-286-0475-8 | ISBN 978-90-286-0475-9

Computer Oriented Learning Processes

herausgegeben von J.C. Simon

Inhaltsverzeichnis

  • 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.