Front matter
1-12
Generating Rule Sets from Model Trees
Geoffrey Holmes, Mark Hall and Eibe Prank
13-23
Classifying and Learning Cricket Shots Using Camera Motion
Mihai Lazarescu, Svetha Venkatesh and Geoff West
24-35
Unsupervised Learning in Metagame
Graham E. Farr and David R. Powell
36-47
A Neural Networks Based Approach for Fast Mining Characteristic Rules
Monzurur Rahman, Xinghuo Yu and Bala Srinivasan
48-59
FANRE: A Fast Adaptive Neural Regression Estimator
Zhihua Zhou, Shifu Chen and Zhaoqian Chen
60-71
Neural Networks for Defuzification of Fuzzy Rules: An Application in Macroeconomic Forecasting
Raouf Veliev, Alex Rubinov and Andrew Stranieri
72-83
Semantic Integration of Databases Using Linguistic Knowledge
Jeong-Oog Lee and Doo-Kwon Baik
84-95
Representing ‘Just Invalid’ Knowledge
John Debenham
96-108
Maximising Expected Utility for Behaviour Arbitration
Julio K. Rosenblatt
109-121
Generating Natural Language Descriptions of Project Plans
Margaret Wasko and Robert Dale
122-133
Categorizing Unknown Words: A Decision Tree-Based Misspelling Identifier
Janine Toole
134-143
Sync/Trans: Simultaneous Machine Interpretation between English and Japanese
Shigeki Matsubara, Katsuhiko Toyama and Yasuyoshi Inagaki
144-155
Minimal Belief Change and Pareto-Optimality
Oliver Schulte
156-167
Basic Infobase Change
Thomas Meyer
168-179
A Framework for Multi-Agent Belief Revision Part I: The Role of Ontology
Wei Liu and Mary-Anne Williams
180-192
Genetic Programming for Multiple Class Object Detection
Mengjie Zhang and Victor Ciesielski
193-204
A Simulated Annealing-Based Learning Algorithm for Boolean DNF
Andreas Albrecht and Kathleen Steinhöfel
205-217
Mutant
: A Genetic Learning System
Stéphane Calderoni and Pierre Marcenac
218-230
Computing Least Common Subsumers in Expressive Description Logics
Thomas Mantay
231-243
E-SETHEO: Design, Configuration and Use of a Parallel Automated Theorem Prover
Gernot Stenz and Andreas Wolf
244-254
PTTP+GLiDeS: Guiding Linear Deductions with Semantics
Marianne Brown and Geoff Sutcliffe
255-267
Neural Network Learning Using Low-Discrepancy Sequence
Ivan Jordanov and Robert Brown
268-277
An Investigation into the Effect of Ensemble Size and Voting Threshold on the Accuracy of Neural Network Ensembles
Robert Cox, David Clark and Alice Richardson
278-290
Neurofuzzy Learning of Mobile Robot Behaviours
Richard Willgoss and Javaid Iqbal
291-303
INDu
: An Interval & Duration Network
Arun K. Pujari, G. Vijaya Kumari and Abdul Sattar
304-315
A Logical Framework for Inductive Inference and Its Rationality
Wei Li
316-327
Semantics for Pollock’s Defeasible Reasoning
Quoc Bao Vo and Joe Thurbon
328-339
Feasibility of Optimised Disjunctive Reasoning for Approximate Matching
Ian Horrocks, Lin Padgham and Laura Thomson
340-352
An Examination of Probabilistic Value-Ordering Heuristics
Matt Vernooy and William S. Havens
353-364
Heuristics and Experiments on BDD Representation of Boolean Functions for Expert Systems in Software Verification Domains
Masahito Kurihara and Hisashi Kondo
365-377
Abduction without Minimality
Abhaya C. Nayak and Norman Y. Foo
378-392
Causal Propagation Semantics — A Study
Mikhail Prokopenko, Maurice Pagnucco, Pavlos Peppas and Abhaya Nayak
393-404
Arc Weights for Approximate Evaluation of Dynamic Belief Networks
Nathalie Jitnah and Ann E. Nicholson
405-416
Finding Outpoints in Noisy Binary Sequences — A Revised Empirical Evaluation
Murlikrishna Viswanathan, Chris S. Wallace, David L. Dowe and Kevin B. Korb
417-428
Q
-Learning in Continuous State and Action Spaces
Chris Gaskett, David Wettergreen and Alexander Zelinsky
429-439
On Understanding Global Behavior of Teams in Robot Soccer Simulators
Victor Korotkich and Noel Patson
440-452
Visual Human-Machine Interaction
Alexander Zelinsky
453-464
Applying Ant Algorithms and the No Fit Polygon to the Nesting Problem
Edmund Burke and Graham Kendall
465-466
Fisheye Matching: Viewpoint-Sensitive Feature Generation Based on Concept Structure
Extended Summary
Yasufumi Takama and Mitsuru Ishizuka
467-468
A Procedural Approach for Rule Based Update
Extended Summary
Sai Kiran Lakkaraju and Yan Zhang
469-471
Learning Logic Programs with Local Variables from Positive Examples
M. R. K. Krishna Rao and Abdul Sattar
472-473
Estimating Problem Value in an Intelligent Tutoring System Using Bayesian Networks
Michael Mayo and Antonija Mitrovic
474-475
Evaluation of Number-Kanji Translation Method of Non-Segmented Japanese Sentences Using Inductive Learning with Degenerated Input
Extended Summary
Masafumi Matsuhara, Kenji Araki, Yoshio Momouchi and Koji Tochinai
476-477
A Serving Agent for Integrating Soft Computing and Software Agents
Extended Summary
Zili Zhang and Chengqi Zhang
478-479
A Visual Geographic Knowledge Classification and Its Relationship to the KADS Model
Extended Summary
Paul Crowther
480-481
A Constraint Optimization Framework for MultiAgent Anytime Scheduling
Extended Summary
Bill Havens, Randy Goebel, Jean Berger and René Proulx
482-483
Evolving Modular Neural Networks Using Rule-Based Genetic Programming
Extended Summary
Bret Talko, Linda Stern and Les Kitchen
484-485
A Trajectory Approach to Causality
Extended Summary
Victor Jauregui, Maurice Pagnucco and Norman Foo
486-487
Bayesian Reasoning for Diagnosing Student Misconceptions about Decimals
Extended Summary
Elise Dettmann, Ann Nicholson, Liz Sonenberg, Kaye Stacey and Vicki Steinle
488-489
Reconsidering Fitness and Convergence in Co-evolutionary Design
Extended Summary
Mary Lou Maher and Peter Xianghua Wu
490-491
A Proposal of Generating Artistic Japanese Calligraphic Fonts
Tsuyoshi Nakamura, Lifeng He and Hidenori Itoh
492-493
Using Competitive Learning in Neural Networks for Cluster-Detection-and-Labeling
Extended Summary
Wen-Gong Chen, Chen-Sen Ouyang and Shie-Jue Lee
494-495
Knowledge-Based Communication Processes in Building Design
Extended Summary
Wei Dai and Robin Drogemuller
496-498
Information-Based Cooperation in Multiple Agent Systems
Extended Summary
Yuefeng Li and Chengqi Zhang
Back matter