AI 2006: Advances in Artificial Intelligence

1. Front Matter

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2. Invited Talks

   1. What Can We Do with Graph-Structured Data? – A Data Mining Perspective

      • Hiroshi Motoda

      Pages 1-2

   2. Morphological Computation – Connecting Brain, Body, and Environment

      • Rolf Pfeifer

      Pages 3-4

   3. Interaction-Oriented Programming: Concepts, Theories, and Results on Commitment Protocols

      • Munindar P. Singh

      Pages 5-6

   4. Symmetry Breaking

      • Toby Walsh

      Pages 7-8

3. PART I: Regular Papers

   1. Foundations and Knowledge Based System

      1. Heyting Domains for Constraint Abduction

         • Michael Maher

         Pages 9-18

      2. Feedback in Multimodal Self-organizing Networks Enhances Perception of Corrupted Stimuli

         • Andrew P. Papliński, Lennart Gustafsson

         Pages 19-28

      3. Identification of Fuzzy Relation Model Using HFC-Based Parallel Genetic Algorithms and Information Data Granulation

         • Jeoung-Nae Choi, Sung-Kwun Oh, Hyun-Ki Kim

         Pages 29-38

      4. Evaluation of Incremental Knowledge Acquisition with Simulated Experts

         • Paul Compton, Tri M. Cao

         Pages 39-48

   2. Knowledge Representation and Reasoning

      1. Finite Domain Bounds Consistency Revisited

         • C. W. Choi, W. Harvey, J. H. M. Lee, P. J. Stuckey

         Pages 49-58

      2. Speeding Up Weighted Constraint Satisfaction Using Redundant Modeling

         • Y. C. Law, J. H. M. Lee, M. H. C. Woo

         Pages 59-68

      3. Verification of Multi-agent Systems Via Bounded Model Checking

         • Xiangyu Luo, Kaile Su, Abdul Sattar, Mark Reynolds

         Pages 69-78

      4. Logical Properties of Belief-Revision-Based Bargaining Solution

         • Dongmo Zhang, Yan Zhang

         Pages 79-89

      5. Knowledge Compilation for Belief Change

         • Maurice Pagnucco

         Pages 90-99

      6. Design Methodologies of Fuzzy Set-Based Fuzzy Model Based on GAs and Information Granulation

         • Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz

         Pages 100-109

      7. <span class="mathjax-tex">\(\mathcal{ALE}\)</span> Defeasible Description Logic

         • Pakornpong Pothipruk, Guido Governatori

         Pages 110-119

      8. Representation and Reasoning for Recursive Probability Models

         • Catherine Howard, Markus Stumptner

         Pages 120-130

      9. Forgetting and Knowledge Update

         • Abhaya Nayak, Yin Chen, Fangzhen Lin

         Pages 131-140

   3. Machine Learning

      1. Enhanced Temporal Difference Learning Using Compiled Eligibility Traces

         • Peter Vamplew, Robert Ollington, Mark Hepburn

         Pages 141-150

      2. A Simple Artificial Immune System (SAIS) for Generating Classifier Systems

         • Kevin Leung, France Cheong

         Pages 151-160

The Australian Joint Conference on Artificial Intelligence series is steered by the Australian Computer Society's (ACS) National Committee on Artificial Intelligence and Expert Systems. It aims at stimulating research by promoting exchange and cross-fertilization of ideas among different branches of artificial intelligence. It also provides a common forum for researchers and practitioners in various fields of AI to exchange new ideas and share their experience. This volume contains the proceedings of the 19th Australian Joint Conference on Artificial Intelligence (AI 2006) held at Hobart, Australia. AI 2006 received a record number of submissions, a total of 689 submissions from 35 countries. From these, full papers 89 (13%), long papers (up to 12 pages) and 70 (10%) short papers (up to 7 pages) were accepted for presentation and included in this volume. All full papers were reviewed through two rounds of assessments by at least two independent - viewers including Senior Program Committee members. The papers in this volume give an indication of recent advances in artificial int- ligence. The topics covered include Machine Learning, Robotics, AI Applications, Planning, Agents, Data Mining and Knowledge Discovery, Cognition and User Interface, Vision and Image Processing, Information Retrieval and Search, AI in the Web, Knowledge Representation, Knowledge-Based Systems, and Neural Networks.

• Web Intelligence
• agents
• artificial intelligence
• cognition
• data mining
• image processing
• intelligence
• knowledge
• knowledge base
• knowledge representation
• learning
• machine learning
• neural network
• robot
• robotics

• DisPRR, National ICT Australia Ltd, Australia

  Abdul Sattar

• School of Computing, University of Tasmania, Tasmania, Australia

  Byeong-ho Kang

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