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Research and Development in Intelligent Systems XXIV

Proceedings of AI-2007, The Twenty-seventh SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence

  • Conference proceedings
  • © 2008

Overview

Editors:
  1. Max Bramer

    1. Faculty of Technology, University of Portsmouth, Portsmouth, UK

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  2. Frans Coenen

    1. Department of Computer Science, University of Liverpool, Liverpool, UK

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  3. Miltos Petridis

    1. University of Greenwich, UK

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Included in the following conference series:

Conference proceedings info: SGAI 2007.

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Table of contents (33 papers)

  1. Front Matter

    Pages I-XIII
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  2. Technical Keynote Address

    1. Front Matter

      Pages 1-1
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    2. Adventures in Personalized Web Search

      • Barry Smyth
      Pages 3-3

  3. Best Technical Paper

    1. Front Matter

      Pages 5-5
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    2. An Evolutionary Algorithm-Based Approach to Robust Analog Circuit Design using Constrained Multi-Objective Optimization

      • Giuseppe Nicosia, Salvatore Rinaudo, Eva Sciacca
      Pages 7-20

  4. Constraint Satisfaction

    1. Front Matter

      Pages 21-21
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    2. DisBO-wd: a Distributed Constraint Satisfaction Algorithm for Coarse-Grained Distributed Problems

      • Muhammed Basharu, Inés Arana, Hatem Ahriz
      Pages 23-36

    3. Construction of Heuristics for a Search-Based Approach to Solving Sudoku

      • S. K. Jones, P. A. Roach, S. Perkins
      Pages 37-49

    4. Escaping Local Optima: Constraint Weights vs. Value Penalties

      • Muhammed Basharu, Inés Arana, Hatem Ahriz
      Pages 51-64

    5. Dynamic Rule Mining for Argumentation Based Systems

      • M. Wardeh, T. Bench-Capon, F. Coenen
      Pages 65-78

  5. Ai Techniques

    1. Front Matter

      Pages 79-79
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    2. Extending Jess to Handle Uncertainty

      • David Corsar, Derek Sleeman, Anne McKenzie
      Pages 81-93

    3. Modelling Affective-based Music Compositional Intelligence with the Aid of ANS Analyses

      • Toshihito Sugimoto, Roberto Legaspi, Akihiro Ota, Koichi Moriyama, Satoshi Kurihara, Masayuki Numao
      Pages 95-108

    4. Supporting Temporal Information in Medical Care Planning

      • Kirsty Bradbrook, Graham Winstanley
      Pages 109-121

    5. Learning Sets of Sub-Models for Spatio-Temporal Prediction

      • Andrew Bennett, Derek Magee
      Pages 123-136

  6. Data Mining And Machine Learning

    1. Front Matter

      Pages 138-138
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    2. Frequent Set Meta Mining: Towards Multi-Agent Data Mining

      • Kamal Ali Albashiri, Frans Coenen, Rob Sanderson, Paul Leng
      Pages 139-151

    3. A Flexible Framework To Experiment With Ontology Learning Techniques

      • Ricardo Gacitua, Pete Sawyer, Paul Rayson
      Pages 153-166

    4. Evolving a Dynamic Predictive Coding Mechanism for Novelty Detection

      • Simon J. Haggett, Dominique F. Chu, Ian W. Marshall
      Pages 167-180

    5. Selecting Bi-Tags for Sentiment Analysis of Text

      • Rahman Mukras, Nirmalie Wiratunga, Robert Lothian
      Pages 181-194
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Other volumes

  1. Research and Development in Intelligent Systems XXIV

  2. Applications and Innovations in Intelligent Systems XV

Keywords

About this book

An agent in a multi-agent system (MAS) has to generate plans for its individual goal, but these plans may con?ict with those that are already being scheduled or executed by other agents. It must also be able to complete its planning and resolution of these con?icts within a reasonable time to have an acceptable quality plan. Although we adopt hierarchical planning (HP, for example, see [7, 12]) using the decision-theoretic planning (DTP) approach [6] for ef?cient planning, it is not trivial to apply HPO to MAS. In HP, appropriate (abstract) plans are selected level by level to maximize the utility U (p), where where p is the expected ?nal plan comprising a sequence of primitive actions. However, in the MAS context, con?icts between agents affect the ef?ciency and quality of resulting plans. When a con?ict is found at lower levels, an additional sophisticated process for avoiding it (con?ict resolution) must be invoked and some extra actions (such as waiting for synchronization and detouring) may have to be added to the plan. The con?ict resolution process may become costly or fail. Even a single con?ict, if it is dif?cult to resolve, will result in a plan with considerably lower quality than it otherwise would have. As a result, in multi-agent systems, the second- or third-best plans may result in better overall performance.

Editors and Affiliations

  • Faculty of Technology, University of Portsmouth, Portsmouth, UK

    Max Bramer

  • Department of Computer Science, University of Liverpool, Liverpool, UK

    Frans Coenen

  • University of Greenwich, UK

    Miltos Petridis

Bibliographic Information

  • Book Title: Research and Development in Intelligent Systems XXIV

  • Book Subtitle: Proceedings of AI-2007, The Twenty-seventh SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence

  • Editors: Max Bramer, Frans Coenen, Miltos Petridis

  • DOI: https://doi.org/10.1007/978-1-84800-094-0

  • Publisher: Springer London

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer-Verlag London 2008

  • Softcover ISBN: 978-1-84800-093-3Published: 28 November 2007

  • eBook ISBN: 978-1-84800-094-0Published: 03 December 2007

  • Edition Number: 1

  • Number of Pages: XIV, 398

  • Number of Illustrations: 108 b/w illustrations

  • Topics: Artificial Intelligence

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