Buch, Englisch, Band 1081, 464 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1470 g
Buch, Englisch, Band 1081, 464 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1470 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-540-61291-9
Verlag: Springer
The 35 revised full papers presented in the book were carefully selected by the program committee. Although organized by a national society, AI 96 attracted contributions and participants with a significant geographic diversity. The issues addressed in this volume cover an electic range of current AI topics with a certain emphasis on various aspects of knowledge representation, natural language processing, and learning.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Constraint-directed improvisation for complex domains.- A new model of hard binary constraint Satisfaction Problems.- Reasoning with multi-point events.- Selecting the right heuristic algorithm: Runtime performance predictors.- Reasoning about unknown, counterfactual, and nondeterministic actions in first-order logic.- The frame problem and Bayesian network action representations.- Automatic generation of a complex dialogue history.- A chart generator for Shake and Bake machine translation.- Extending the role of user feedback in plan recognition and response generation for advice-giving systems: An initial report.- Corpus-based learning of generalized parse tree rules for translation.- ParseTalk about functional anaphora.- Knowledge-based approaches to query expansion in information retrieval.- Inferring what a user is not interested in.- Developing an expert system technology for industrial process control: An experience report.- Planning and learning in a natural resource information system.- A hierarchical model of agent based on skill, rules, and knowledge.- Semantics of multiply sectioned Bayesian networks for cooperative multi-agent distributed interpretation.- LPMEME: A statistical method for inductive logic programming.- Efficient induction of recursive prolog definitions.- Constructive induction: A preprocessor.- Reinforcement learning for real-world control applications.- A two-level approach to learning in nonstationary environments.- Learning classifications from multiple sources of unsupervised data.- Paraconsistent circumscription.- Efficient algorithms for qualitative reasoning about imprecise space.- A general purpose reasoner for abstraction.- Reference constraints and individual level inheritance.- Decision tree learning system with switching evaluator.- Parity: The problem that won't go away.- A polynomial-time predicate-logic hypothetical reasoning by Networked Bubble Propagation method.- Enhancing maximum satisfiability algorithms with pure literal strategies.- Searching with pattern databases.- Negoplan: A system for logic-based decision modelling.- Attribute selection strategies for attribute-oriented generalization.- Automating model acquisition by fault knowledge re-use: Introducing the Diagnostic Remodeler algorithm.- Planning algorithms and planning problems.
