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Progress in Artificial Intelligence. Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving Book

Progress in Artificial Intelligence. Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving
Progress in Artificial Intelligence. Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving, This book constitutes the refereed proceedings of the 10th Portuguese Conference on Artificial Intelligence, EPTA 2001, held in Porto, Portugal, in December 2001. The 21 revised long papers and 18 revised short papers were carefully reviewed and selected , Progress in Artificial Intelligence. Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving has a rating of 2 stars
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Progress in Artificial Intelligence. Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving, This book constitutes the refereed proceedings of the 10th Portuguese Conference on Artificial Intelligence, EPTA 2001, held in Porto, Portugal, in December 2001. The 21 revised long papers and 18 revised short papers were carefully reviewed and selected , Progress in Artificial Intelligence. Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving
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  • Progress in Artificial Intelligence. Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving
  • Written by author Pavel Brazdil
  • Published by Springer-Verlag New York, LLC, January 2008
  • This book constitutes the refereed proceedings of the 10th Portuguese Conference on Artificial Intelligence, EPTA 2001, held in Porto, Portugal, in December 2001. The 21 revised long papers and 18 revised short papers were carefully reviewed and selected
  • This book constitutes the refereed proceedings of the 10th Portuguese Conference on Artificial Intelligence, EPTA 2001, held in Porto, Portugal, in December 2001. The 21 revised long papers and 18 revised short papers were carefully reviewed and selected
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Book Categories

Authors

Agent Programming in Ciao Prolog1
Multi-relational Data Mining: A perspective3
A Comparison of GLOWER and other Machine Learning Methods for Investment Decision Making5
Parallel Implementation of Decision Tree Learning Algorithms6
Reducing Rankings of Classifiers by Eliminating Redundant Classifiers14
Non-parametric Nearest Neighbor with Local Adaptation22
Selection Restrictions Acquisition from Corpora30
Classification Rule Learning with APRIORI-C44
Proportional Membership in Fuzzy Clustering as a Model of Ideal Types52
Evolution of Cubic Spline Activation Functions for Artificial Neural Networks63
Multilingual Document Clustering, Topic Extraction and Data Transformations74
Sampling-Based Relative Landmarks: Systematically Test-Driving Algorithms Before Choosing88
Recursive Adaptive ECOC Models96
A Study on End-Cut Preference in Least Squares Regression Trees104
The Use of Domain Knowledge in Feature Construction for Financial Time Series Prediction116
Optimizing the Sharpe Ratio for a Rank Based Trading System130
Choice: The Key for Autonomy142
Dynamic Evaluation of Coordination Mechanisms for Autonomous Agents155
Evolving Multi-agent Viewpoints - an Architecture169
Enabling Agents to Update Their Knowledge and to Prefer183
Modelling Agent Societies: Co-ordination Frameworks and Institutions191
Argumentation as Distributed Belief Revision: Conflict Resolution in Decentralised Co-operative Multi-agent Systems205
Scheduling, Re-scheduling and Communication in the Multi-agent Extended Enterprise Environment219
Electronic Institutions as a Framework for Agents' Negotiation and Mutual Commitment232
An Imitation-Based Approach to Modeling Homogenous Agents Societies246
Situation Calculus as Hybrid Logic: First Steps253
A Modified Semantics for LUPS261
On the Use of Multi-dimensional Dynamic Logic Programming to Represent Societal Agents' Viewpoints276
A Procedural Semantics for Multi-adjoint Logic Programming290
Representing and Reasoning on Three-Dimensional Qualitative Orientation Point Objects298
Encodings for Equilibrium Logic and Logic Programs with Nested Expressions306
A Context-Free Grammar Representation for Normal Inhabitants of Types in TA[subscript [lambda]]321
Permissive Belief Revision335
Global Hull Consistency with Local Search for Continuous Constraint Solving349
Towards Provably Complete Stochastic Search Algorithms for Satisfiability363
A Combined Constraint-Based Search Method for Single-Track Railway Scheduling Problem371
A Temporal Planning System for Time-Optimal Planning379
SimPlanner: An Execution-Monitoring System for Replanning in Dynamic Worlds393
Hybrid Hierarchical Knowledge Organization for Planning401
STeLLa: An Optimal Sequential and Parallel Planner409
Author Index417


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Progress in Artificial Intelligence. Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving, This book constitutes the refereed proceedings of the 10th Portuguese Conference on Artificial Intelligence, EPTA 2001, held in Porto, Portugal, in December 2001. The 21 revised long papers and 18 revised short papers were carefully reviewed and selected , Progress in Artificial Intelligence. Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving

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Progress in Artificial Intelligence. Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving, This book constitutes the refereed proceedings of the 10th Portuguese Conference on Artificial Intelligence, EPTA 2001, held in Porto, Portugal, in December 2001. The 21 revised long papers and 18 revised short papers were carefully reviewed and selected , Progress in Artificial Intelligence. Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving

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Progress in Artificial Intelligence. Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving, This book constitutes the refereed proceedings of the 10th Portuguese Conference on Artificial Intelligence, EPTA 2001, held in Porto, Portugal, in December 2001. The 21 revised long papers and 18 revised short papers were carefully reviewed and selected , Progress in Artificial Intelligence. Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving

Progress in Artificial Intelligence. Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving

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