Advances in Artificial Intelligence

Table of Contents

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   Book Overview
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   Chapter 1 Decision-Rule Solutions for Data Mining with Missing Values
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   Chapter 2 Getting Computer Systems to Function as Team Players (Abstract)
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   Chapter 3 Case-Based Management of Software Engineering Experienceware
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   Chapter 4 Handling Cases and the Coverage in a Limited Quantity of Memory for Case-Based Planning Systems
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   Chapter 5 Integrating Rules and Cases in Learning via Case Explanation and Paradigm Shift
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   Chapter 6 PersonalSearcher: An Intelligent Agent for Searching Web Pages
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   Chapter 7 JEOPS — The Java Embedded Object Production System
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   Chapter 8 Global and Local Search for Scheduling Job Shop with Parallel Machines
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    Chapter 9 Knowledge-Based Interactive Scheduling of Multiproduct Batch Plants
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    Chapter 10 Petriplan: A New Algorithm for Plan Generation (Preliminary Report)
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    Chapter 11 Using and Evaluating Adaptive Agents for Electronic Commerce Negotiation
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    Chapter 12 Dependence Based Coalitions and Contract Net: A Comparative Analysis
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    Chapter 13 A Multiagent Systems Theory of Meaning Based on the Habermas/ Bühler Communicative Action Theory
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    Chapter 14 Scheduling Meetings through Multi-agent Negotiation
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    Chapter 15 Agents Working on the Integration of Heterogeneous Information Sources in Distributed Healthcare Environments
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    Chapter 16 Solving Conflicting Beliefs with a Distributed Belief Revision Approach
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    Chapter 17 MOISE: An Organizational Model for Multi-agent Systems
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    Chapter 18 Evolving Populations of Agents with Personalities in the Minority Game
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    Chapter 19 Dynamic Social Knowledge: A Comparative Evaluation
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    Chapter 20 MArCo: Using Meta-cognitive Conflicts to Provoke Strategic Changes
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    Chapter 21 Sharing Resource-Sensitive Knowledge Using Combinator Logics
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    Chapter 22 Compiling Default Theory into Extended Logic Programming
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    Chapter 23 Annotated Temporal Logics Δ*τ
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    Chapter 24 Representing Belief Revision through Default Theories
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    Chapter 25 Admissibility Proofs for the LCS * Algorithm
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    Chapter 26 Representing Operational Knowledge by Contextual Graphs
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    Chapter 27 Linguistic Relations Encoding in a Symbolic- Connectionist Hybrid Natural Language Processor
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    Chapter 28 A Linear-Bayes Classifier
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    Chapter 29 L-VIBRA: Learning in the VIBRA Architecture
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    Chapter 30 A New Distributed Reinforcement Learning Algorithm for Multiple Objective Optimization Problems
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    Chapter 31 Generating Text Summaries through the Relative Importance of Topics
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    Chapter 32 Cognitive Multi-agent Systems for Integrated Information Retrieval and Extraction over the Web
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    Chapter 33 Definite Descriptions in an Information Extraction System
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    Chapter 34 Summary Generation and Evaluation in SumUM
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    Chapter 35 Extracting Equivalents from Aligned Parallel Texts: Comparison of Measures of Similarity
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    Chapter 36 FutBot: A Vision System for Robotic Soccer
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    Chapter 37 Applying the ARTIS Agent Architecture to Mobile Robot Control
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    Chapter 38 On the Use of Option Policies for Autonomous Robot Navigation
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    Chapter 39 Heuristic Algorithm for Robot Path Planning Based on Real Space Renormalization
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    Chapter 40 A Robust Exploration and Navigation Approach for Indoor Mobile Robots Merging Local and Global Strategies
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    Chapter 41 Structural Learning from Iconic Representations
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    Chapter 42 Tuple Relational Calculus for Paraconsistent Databases
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    Chapter 43 A Methodology for Multiple-Fault Diagnosis Based on the Independent Choice Logic
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    Chapter 44 Advances in Qualitative Decision Theory: Refined Rankings
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    Chapter 45 A Soft Computing Approach for Toxicity Prediction
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    Chapter 46 Analysis and Comparison of Recurrent Neural Networks for the Identification of a Pilot Plant Distillation Column
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    Chapter 47 Multiple Populations Guided by the Constraint-Graph for CSP
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    Chapter 48 An Hybrid Evolutive-Genetic Strategy for the Inverse Fractal Problem of IFS Models
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    Chapter 49 A New Measure for the Bandwidth Minimization Problem
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    Chapter 50 Sensitivity and Uncertainty Analysis in Optimization Programs Using an Evolutionary Approach