Advanced Topics in Artificial Intelligence

12th Australian Joint Conference on Artificial Intelligence, AI'99, Sydney, Australia, December 6-10, 1999, Proceedings

AvNorman Foo

Häftad, Engelska, 1999

Del i serien Lecture Notes in Computer Science

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Beskrivning

This book constitutes the refereed proceedings of the 12th Australian Joint Conference on Artificial Intelligence, AI'99, held in Sydney, Australia in December 1999. The 39 revised full papers presented together with 15 posters were carefully reviewed and selected from more than 120 submissions. The book is divided in topical sections on machine learning, neural nets, knowledge representation, natural language processing, belief revision, adaptive algorithms, automated reasonning, neural learning, heuristics, and applications

Produktinformation

Utgivningsdatum:1999-11-26
Mått:216 x 279 x 29 mm
Vikt:785 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:508
Upplaga:1999
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783540668220

Utforska kategorier

Artificiell intelligens inom Data och IT

Innehållsförteckning

Machine Learning I.- Generating Rule Sets from Model Trees.- Classifying and Learning Cricket Shots Using Camera Motion.- Unsupervised Learning in Metagame.- Neural Nets.- A Neural Networks Based Approach for Fast Mining Characteristic Rules.- FANRE: A Fast Adaptive Neural Regression Estimator.- Neural Networks for Defuzification of Fuzzy Rules: An Application in Macroeconomic Forecasting.- Knowledge Representation I.- Semantic Integration of Databases Using Linguistic Knowledge.- Representing ‘Just Invalid’ Knowledge.- Maximising Expected Utility for Behaviour Arbitration.- Natural Language.- Generating Natural Language Descriptions of Project Plans.- Categorizing Unknown Words: A Decision Tree-Based Misspelling Identifier.- Sync/Trans: Simultaneous Machine Interpretation between English and Japanese.- Belief Revision.- Minimal Belief Change and Pareto-Optimality.- Basic Infobase Change.- A Framework for Multi-Agent Belief Revision Part I: The Role of Ontology.- Adaptive Algorithms.- Genetic Programming for Multiple Class Object Detection.- A Simulated Annealing-Based Learning Algorithm for Boolean DNF.- Mutant: A Genetic Learning System.- Automated Reasoning.- Computing Least Common Subsumers in Expressive Description Logics.- E-SETHEO: Design, Configuration and Use of a Parallel Automated Theorem Prover.- PTTP+GLiDeS: Guiding Linear Deductions with Semantics.- Neural Learning.- Neural Network Learning Using Low-Discrepancy Sequence.- An Investigation into the Effect of Ensemble Size and Voting Threshold on the Accuracy of Neural Network Ensembles.- Neurofuzzy Learning of Mobile Robot Behaviours.- Knowledge Representation II.- INDu: An Interval & Duration Network.- A Logical Framework for Inductive Inference and Its Rationality.- Semantics for Pollock’sDefeasible Reasoning.- Heuristics.- Feasibility of Optimised Disjunctive Reasoning for Approximate Matching.- An Examination of Probabilistic Value-Ordering Heuristics.- Heuristics and Experiments on BDD Representation of Boolean Functions for Expert Systems in Software Verification Domains.- Knowledge Representation III.- Abduction without Minimality.- Causal Propagation Semantics — A Study.- Arc Weights for Approximate Evaluation of Dynamic Belief Networks.- Machine Learning II.- Finding Outpoints in Noisy Binary Sequences — A Revised Empirical Evaluation.- Q-Learning in Continuous State and Action Spaces.- Applications.- On Understanding Global Behavior of Teams in Robot Soccer Simulators.- Visual Human-Machine Interaction.- Applying Ant Algorithms and the No Fit Polygon to the Nesting Problem.- Poster Papers (Extended Summary).- Fisheye Matching: Viewpoint-Sensitive Feature Generation Based on Concept Structure.- A Procedural Approach for Rule Based Update.- Learning Logic Programs with Local Variables from Positive Examples.- Estimating Problem Value in an Intelligent Tutoring System Using Bayesian Networks.- Evaluation of Number-Kanji Translation Method of Non-Segmented Japanese Sentences Using Inductive Learning with Degenerated Input.- A Serving Agent for Integrating Soft Computing and Software Agents.- A Visual Geographic Knowledge Classification and Its Relationship to the KADS Model.- A Constraint Optimization Framework for MultiAgent Anytime Scheduling.- Evolving Modular Neural Networks Using Rule-Based Genetic Programming.- A Trajectory Approach to Causality.- Bayesian Reasoning for Diagnosing Student Misconceptions about Decimals.- Reconsidering Fitness and Convergence in Co-evolutionary Design.- A Proposal of Generating Artistic Japanese CalligraphicFonts.- Using Competitive Learning in Neural Networks for Cluster-Detection-and-Labeling.- Knowledge-Based Communication Processes in Building Design.- Information-Based Cooperation in Multiple Agent Systems.