Artificial Intelligence in Theory and Practice II

IFIP 20th World Computer Congress, TC 12: IFIP AI 2008 Stream, September 7-10, 2008, Milano, Italy


ISBN: 978-0-387-09694-0 (Print) 978-0-387-09695-7 (Online)

Table of contents (47 chapters)

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  1. Front Matter

    Pages i-xvii

  2. Agents 1

    1. Chapter

      Pages 3-12

      A Light-Weight Multi-Agent System Manages 802.11 Mesh Networks

    2. Chapter

      Pages 13-22

      Decisions with multiple simultaneous goals and uncertain causal effects

    3. Chapter

      Pages 23-32

      Agent Based Frequent Set Meta Mining: Introducing EMADS

  3. Agents 2

    1. Chapter

      Pages 35-44

      On the evaluation of MAS development tools

    2. Chapter

      Pages 45-54

      Information-Based Planning and Strategies

    3. Chapter

      Pages 55-64

      Teaching Autonomous Agents to Move in a Believable Manner within Virtual Institutions

  4. Data Mining

    1. Chapter

      Pages 67-76

      Mining Fuzzy Association Rules from Composite Items

    2. Chapter

      Pages 77-86

      P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction

    3. Chapter

      Pages 87-96

      Applying Data Mining to the Study of Joseki

    4. Chapter

      Pages 97-106

      A Fuzzy Semi-Supervised Support Vector Machines Approach to Hypertext Categorization

  5. Neural Networks

    1. Chapter

      Pages 109-118

      Estimation of Neural Network Parameters for Wheat Yield Prediction

    2. Chapter

      Pages 119-128

      Enhancing RBF-DDA Algorithm’s Robustness: Neural Networks Applied to Prediction of Fault-Prone Software Modules

  6. Learning

    1. Chapter

      Pages 131-140

      A Study with Class Imbalance and Random Sampling for a Decision Tree Learning System

    2. Chapter

      Pages 141-150

      Answer Extraction for Definition Questions using Information Gain and Machine Learning

    3. Chapter

      Pages 151-160

      Batch Reinforcement Learning for Controlling a Mobile Wheeled Pendulum Robot

  7. Knowledge Management

    1. Chapter

      Pages 163-172

      Optimizing Relationships Information in Repertory Grids

    2. Chapter

      Pages 173-182

      Modeling Stories in the Knowledge Management Context to Improve Learning Within Organizations

    3. Chapter

      Pages 183-192

      Knowledge Modeling Framework for System Engineering Projects

  8. Foundations

    1. Chapter

      Pages 195-204

      Machines with good sense: How can computers become capable of sensible reasoning?

    2. Chapter

      Pages 205-214

      Making Use of Abstract Concepts–Systemic-Functional Linguistics and Ambient Intelligence

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