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Artificial intelligence for advanced problem solving techniques / Dimitris Vrakas, Ioannis PL. Vlahavas, [editors].

Contributor(s): Publication details: Hershey, PA : Information Science Reference, c2008.Description: xvii, 370 p. : ill. ; 29 cmISBN:
  • 9781599047058 (hardcover)
  • 1599047055 (hardcover)
Subject(s):
Contents:
Section I: Automated Planning -- Chapter I: Multi-Behicle Missions: Architecture and Algorithms for Distributed Online Planning -- Chapter II: Extending Classical Planning for Time: Research Trends in Optimal and Suboptimal Temporal Planning -- Section II: Constraint Satisfaction and Scheduling -- Chapter III: Principles of Constraint Processing -- Chapter IV: Stratified Constraint Satisfaction Networks in Synergetic Multi-Agent Simulations of Language Evolution -- Chapter V: Soft-Constrained Linear Programming Support Vector Regression for Nonlinear Black-Box Systems Identification -- Section III: Machine Learning -- Chapter VI: Reinforcement Learning and Automated Planning: A Survey -- Chapter VII: Induction as a Search Procedure -- Chapter VIII: Single- and Multi-Order Neurons for Recursive Unsupervised Learning -- Section IV: Optimization -- Chapter IX: Optimising Object Classification: Uncertain Reasoning-Based Analysis Using CaRBS Systematic Research Algorithms -- Chapter X: Application of Fuzzy Optimization in Forecasting and Planning of Construction Industry -- Chapter XI: Rank Improvement Optimization Using PROMETHEE and Trigonometric Differential Evolution -- Section V: Genetic Algorithms and Programming -- Chapter XII: Parallelizing Genetic Algorithms: A Case Study -- Chapter XIII: Using Genetic Programming to Extract Knowledge from Artificial Neural Networks -- Compilation of Reference -- About the Contributors -- Index -- Last Page
Summary: 'This book offers scholars and practitioners cutting-edge research on algorithms and techniques such as search, domain independent heuristics, scheduling, constraint satisfaction, optimization, configuration, and planning, and highlights the relationship between the search categories and the various ways a specific application can be modeled and solved using advanced problem solving techniques'--Provided by publisher.
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Item type Current library Home library Call number Materials specified Copy number Status Date due Barcode
AM PERPUSTAKAAN LINGKUNGAN KEDUA PERPUSTAKAAN LINGKUNGAN KEDUA KOLEKSI AM-P. LINGKUNGAN KEDUA Q336.A78 3 (Browse shelf(Opens below)) 1 Available 00002119756

'Premier reference source'--Cover.

Includes bibliographical references (p. 328-358) and index.

Section I: Automated Planning -- Chapter I: Multi-Behicle Missions: Architecture and Algorithms for Distributed Online Planning -- Chapter II: Extending Classical Planning for Time: Research Trends in Optimal and Suboptimal Temporal Planning -- Section II: Constraint Satisfaction and Scheduling -- Chapter III: Principles of Constraint Processing -- Chapter IV: Stratified Constraint Satisfaction Networks in Synergetic Multi-Agent Simulations of Language Evolution -- Chapter V: Soft-Constrained Linear Programming Support Vector Regression for Nonlinear Black-Box Systems Identification -- Section III: Machine Learning -- Chapter VI: Reinforcement Learning and Automated Planning: A Survey -- Chapter VII: Induction as a Search Procedure -- Chapter VIII: Single- and Multi-Order Neurons for Recursive Unsupervised Learning -- Section IV: Optimization -- Chapter IX: Optimising Object Classification: Uncertain Reasoning-Based Analysis Using CaRBS Systematic Research Algorithms -- Chapter X: Application of Fuzzy Optimization in Forecasting and Planning of Construction Industry -- Chapter XI: Rank Improvement Optimization Using PROMETHEE and Trigonometric Differential Evolution -- Section V: Genetic Algorithms and Programming -- Chapter XII: Parallelizing Genetic Algorithms: A Case Study -- Chapter XIII: Using Genetic Programming to Extract Knowledge from Artificial Neural Networks -- Compilation of Reference -- About the Contributors -- Index -- Last Page

'This book offers scholars and practitioners cutting-edge research on algorithms and techniques such as search, domain independent heuristics, scheduling, constraint satisfaction, optimization, configuration, and planning, and highlights the relationship between the search categories and the various ways a specific application can be modeled and solved using advanced problem solving techniques'--Provided by publisher.

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