Buch, Englisch, 526 Seiten, Format (B × H): 161 mm x 245 mm, Gewicht: 1047 g
Buch, Englisch, 526 Seiten, Format (B × H): 161 mm x 245 mm, Gewicht: 1047 g
ISBN: 978-0-19-853867-7
Verlag: Oxford University Press
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).
Autoren/Hrsg.
Weitere Infos & Material
- 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
