Advances in Artificial Intelligence

Proving formulas through reduction to decidable classes.- Building and executing proof strategies in a formal metatheory.- Computing 3-valued stable models by using the ATMS.- Abstract properties for the choice provability relation in nonmonotonic logics.- Characterizing prime implicants as projective spaces.- EFH-Soar: Modeling education in highly interactive microworlds.- Foundations for interaction: The dependence theory.- Letter spirit: An architecture for creativity in a microdomain.- New systems for extracting 3-D shape information from images.- Projecting sub-symbolic onto symbolic representations in artificial neural networks.- Integrating the symbolic and the sub-symbolic level in sonar-based navigation.- Randomness, imitation or reason explain agents' behaviour into an artificial stock market?.- Neural networks for constraint satisfaction.- Reasoning with individuals in concept languages.- A family of temporal terminological logics.- Logic programming and autoepistemic logics: New relations and complexity results.- Inferring in lego-land: an architecture for the integration of heterogeneous inference modules.- MAP - a language for the modelling of Multi-Agent systems.- Developing co-operating legal knowledge based systems.- Negation as a specializing operator.- Constructing refinement operators by decomposing logical implication.- Learning relations: Basing top-down methods on inverse resolution.- Complexity of the CFP, a method for Classification based on Feature Partitioning.- Genetic algorithms elitist probabilistic of degree 1, a generalization of simulated annealing.- Learning relations using genetic algorithms.- Evolutionary learning for relaxation labeling processes.- Increasing cohesion in automatically generated natural language texts.- Production of cooperative answers on the basis of partial knowledge in information-seeking dialogues.- Coping with modifiers in a restricted domain.- Explanation strategies in a tutoring system.- Maintaining