Artificial intelligence for advanced problem solving techniques
Título:
Artificial intelligence for advanced problem solving techniques
ISBN:
9781599047072
PRODUCTION_INFO:
Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2008.
Descrição Física:
electronic texts (xvii, 370 p. : ill.) : digital files.
Conteúdo:
Section I. Automated planning -- Chapter I. Multi-vehicle missions: architecture and algorithms for distributed online planning / Johan Baltié, Eric Bensana, Patrick Fabiani, Jean-Loup Farges, Stéphane Millet, Philippe Morignot, Bruno Patin, Gérald Petitjean, Gauthier Pitois, and Jean-Clair Poncet -- Chapter II. Extending classical planning for time: research trends in optimal and suboptimal temporal planning / Antonio Garrido and Eva Onaindia --
Section II. Constraint satisfaction and scheduling -- Chapter III. Principles of constraint processing / Roman Barták -- Chapter IV. Stratified constraint satisfaction networks in synergetic multi-agent simulations of language evolution / Alexander Mehler -- Chapter V. Soft-constrained linear programming support vector regression for nonlinear black-box systems identification / Zhao Lu and Jing Sun --
Section III. Machine learning -- Chapter VI. Reinforcement learning and automated planning: a survey / Ioannis Partalas, Dimitris Vrakas, and Ioannis Vlahavas -- Chapter VII. Induction as a search procedure / Stasinos Konstantopoulos, Rui Camacho, Nuno A. Fonseca, and Vítor Santos Costa -- Chapter VIII. Single- and multi-order neurons for recursive unsupervised learning / Kiruthika Ramanathan and Sheng Uei Guan --
Section IV. Optimization -- Chapter IX. Optimising object classification: uncertain reasoning-based analysis using CaRBS systematic search algorithms / Malcolm J. Beynon -- Chapter X. Application of fuzzy optimization in forecasting and planning of construction industry / P. Vasant, N. Barsoum, C. Kahraman, and G. M. Dimirovski -- Chapter XI. Rank improvement optimization using PROMETHEE and trigonometric differential evolution / Malcolm J. Beynon --
Section V. Genetic algorithms and programming -- Chapter XII. Parallelizing genetic algorithms: a case study / Iker Gondra -- Chapter XIII. Using genetic programming to extract knowledge from artificial neural networks / Daniel Rivero, Miguel Varela, and Javier Pereira -- Compilation of references -- About the contributors -- Index.
Resumo:
"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.
Termo do Assunto:
Acesso Eletrônico:
Full Text Available From IGI Global 2008 Packages
LANGUAGE:
Inglês