Advanced topics in artificial intelligence : international summer school, Prague, Czechoslovakia, July 6-17, 1992 : proceedings

This volume contains the texts of 26 lectures and contributions to the program of the International Summer School on Advanced Topics in Artificial Intelligence held in Prague, Czechoslovakia, July 6-17, 1992. The summerschool was intended for (postgraduate) students, researchers and all those who wa...

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Bibliografiske detaljer
Hovedforfatter: Mařík, Vladimír, 1952-
Institution som forfatter: International Summer School (Auteur)
Andre forfattere: Stepankova, Olga (Directeur de la publication), Trappl, Robert, 1939- (Directeur de la publication)
Format: Livre numérique
Sprog:Anglais
Udgivet: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Serier:Lecture notes in computer science. Lecture notes in artificial intelligence 617
Fag:
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Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Advanced topics in artificial intelligence, international summer school, Prague, Czechoslovakia, July 6-17, 1992, proceedings, V. Mařík, O. Štěpánková, R. Trappl (eds.), Berlin, Springer-Verlag, 1992, 1 vol. (ix, 484 p.), Lecture notes in computer science, 0-387-55681-8
• Advanced Topics in Artificial Intelligence, Texte imprimé, 9783662194805
Indholdsfortegnelse:
  • AI: Introduction, paradigms, applications (including CBR), impacts, visions
  • Artificial intelligence and connectionism: Some philosophical implications
  • Logic for representing and implementing knowledge about system behaviour
  • Prolog: A step towards the future of programming
  • An introduction to constraint logic programming
  • Logic and databases
  • to machine learning
  • Approaches to inductive logic programming
  • Advanced machine learning techniques for computer vision
  • Notes on current trends in AI planning
  • The application of reason maintenance systems in planning and scheduling
  • Practical applications of planning tasks
  • The role of uncertainty measures and principles in AI
  • to probabilistic methods of knowledge representation and processing
  • On belief functions
  • Data analysis and uncertainty processing
  • Some aspects of knowledge engineering
  • An automatic knowledge acquisition tool
  • Distributed AI and its applications
  • Architectures for second generation knowledge based systems
  • An introduction to qualitative reasoning
  • Model-based diagnosis: An overview
  • Dynamic system simulation with qualitative differential equations
  • An introduction to neurocomputing and its possible role in AI
  • Intelligent presentation and dialogue management
  • Linguistic aspects of natural language processing.