Advances in Artificial Intelligence - Howard J. Hamilton

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Sommaire:
Games / Constraint Satisfaction.- Unifying Single-Agent and Two-Player Search.- Are Bees Better than Fruitflies?.- A Constraint Directed Model for Partial Constraint Satisfaction Problems.- Natural Language I.- Using Noun Phrase Heads to Extract Document Keyphrases.- Expanding the Type Hierarchy with Nonlexical Concepts.- Using Object Influence Areas to Quantitatively Deal with Neighborhood and Perception in Route Descriptions.- An Extendable Natural Language Interface to a Consumer Service Database.- Knowledge Representation.- Identifying and Eliminating Irrelevant Instances Using Information Theory.- Keep It Simple: A Case-Base Maintenance Policy Based on Clustering and Information Theory.- On the Integration of Recursive -Theories.- Natural Language II.- Collocation Discovery for Optimal Bilingual Lexicon Development.- The Power of the TSNLP: Lessons from a Diagnostic Evaluation of a Broad-Coverage Parser.- A Parallel Approach to Unified Cognitive Modeling of Language Processing within a Visual Context.- AI Applications.- Interact: A Staged Approach to Customer Service Automation.- Towards Very Large Terminological Knowledge Bases: A Case Study from Medicine.- The Use of Ontologies and Meta-knowledge to Facilitate the Sharing of Knowledge in a Multi-agent Personal Communication System.- Machine Learning / Data Mining.- ASERC - A Genetic Sequencing Operator for Asymmetric Permutation Problems.- CViz: An Interactive Visualization System for Rule Induction.- Learning Pseudo-independent Models: Analytical and Experimental Results.- Planning / Theorem Proving / Artificial Life.- Learning Rewrite Rules versus Search Control Rules to Improve Plan Quality.- Scheduling Methods for Parallel Automated Theorem Proving.- Simulating Competing Alife Organisms by Constructive Compound Neural Networks.- Neural Networks.- A Recognition-Based Alternative to Discrimination-Based Multi-layer Perceptrons.- Accelerated Backpropagation Learning: Extended Dynamic Parallel Tangent Optimization Algorithm.- Neural ARX Models and PAC Learning.- Posters.- Qualitative Descriptors and Action Perception.- A Comparison of Association Rule Discovery and Bayesian Network Causal Inference Algorithms to Discover Relationships in Discrete Data.- Towards an Automated Citation Classifier.- Typical Example Selection for Learning Classifiers.- Comparative Study of Neural Network Controllers for Nonlinear Dynamic Systems.- The Iterative Multi-agent Method for Solving Complex Search Problems.- Relational Learning with Transfer of Knowledge Between Domains.- Surviving in a Hostile Multi-agent Environment: How Simple Affective States Can Aid in the Competition for Resources.- Task-Structure Based Mediation: The Travel-Planning Assistant Example.- Considerations on Compositional Update Operators.- The Degeneration of Relevance in Uncertain Temporal Domains: An Empirical Study.- The Learnability of Naive Bayes.- Invited Presentations.- Parsing to Meaning, Statistically.- Automated Discovery: A Fusion of Multidisciplinary Principles.