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

EAN (ISBN-13): 9783540668220
ISBN (ISBN-10): 3540668225
Gebonden uitgave
pocket book
Verschijningsjaar: 1999
Uitgever: Springer Berlin Heidelberg
524 Bladzijden
Gewicht: 0,783 kg
Taal: eng/Englisch

Boek bevindt zich in het datenbestand sinds 2007-05-03T15:23:29+02:00 (Amsterdam)
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ISBN/EAN: 3540668225

ISBN - alternatieve schrijfwijzen:
3-540-66822-5, 978-3-540-66822-0
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Titel van het boek: sydney, proceedings artificial intelligence conference, lecture notes artificial intelligence, advanced, topics artificial intelligence, science notes

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Gegevens van de uitgever

Auteur: Norman Foo
Titel: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Advanced Topics in Artificial Intelligence - 12th Australian Joint Conference on Artificial Intelligence, AI'99, Sydney, Australia, December 6-10, 1999, Proceedings
Uitgeverij: Springer; Springer Berlin
508 Bladzijden
Verschijningsjaar: 1999-11-26
Berlin; Heidelberg; DE
Taal: Engels
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
XVI, 508 p.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Artificial intelligence; adaptive systems; agent systems; classification; heuristics; intelligence; intelligent agents; knowledge processing; knowledge representation; learning; machine learning; natural language; natural language processing; neural computing; ontology; Artificial Intelligence; EA

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.
Includes supplementary material: sn.pub/extras