Machine Intelligence 15 - Rilegato

 
9780198538677: Machine Intelligence 15

Sinossi

This is the fifteenth volume in the Machine Intelligence series, founded in 1965 by Donald Michie, and includes papers by a number of eminent AI figures including John McCarthy, Alan Robinson, Robert Kowalski and Mike Genesereth. The book is centred on the theme of intelligent agents and covers a wide range of topics, including: - Representations of consciousness (John McCarthy, Stanford University and Donald Michie, Edinburgh University) - SoftBots (Bruce Blumberg, MIT Media Lab) - Parallel implementations of logic (Alan Robinson, Syracuse University) - Machine learning (Stephen Muggleton, Oxford University) - Machine vision (Andrew Blake, Oxford University) - Machine-based scientific discovery in molecular biology (Mike Sternberg, Imperial Cancer Research Fund).

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Contenuti

  • CONSCIOUSNESS AND CAUSATION
  • 1: Making robots conscious of their mental states
  • 2: A framework for verbalizing unconscious knowledge based on inductive logic programming
  • 3: Legal responsibility and causation
  • 4: Adapting Good's Q theory to the causation of individual events
  • COMPUTER VISION
  • 5: Making robots see
  • AGENTS THAT LEARN
  • 6: A framework for behavioural cloning
  • 7: Control skill, machine learning and handcrafting in controller design
  • 8: Personalized mail agent using inductive logic programming
  • 9: An experiment with browsers that learn
  • 10: Toward incremental knowledge correction for agents in complex environments
  • 11: The spontaneous self-organization of an adaptive language
  • FORMALISMS AND MODELS OF LEARNING
  • 12: Developments in computational learning and discovery theory within the framework of elementary formal systems
  • 13: A learnability model for universal representations and its application to top-down induction of decision trees
  • 14: A learning mechanism for logic programs using dynamically shared substructures
  • 15: PAC-learning of preference relations over interpretations in lazy nonmonotonic reasoning
  • 16: Tables, graphs and logic for induction
  • APPLIED SCIENTIFIC DISCOVERY
  • 17: A connectionist approach to numeric law discovery
  • 18: Drug design by machine learning
  • CONCURRENT DECLARATIVE PROGRAMMING
  • 19: Debugging for a declarative programming language
  • 20: A massively parallel simplification logic for functional and relational computing
  • HISTORY OF COMPUTING
  • 21: The Turing-Wilkinson lecture series on the automatic computing engine
  • 22: A lecture and two broadcasts on machine intelligence by Alan Turing
  • 23: Repairs to Turing's universal computing machine
  • 24: W. S. Jevons: his logical machine and work on induction and Boolean algebra

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