Section I: Automated Planning
Chapter I: Multi-Vehicle Missions: Architecture and Algorithms for Distributed Online Planning
Johan Baltié, Sophis Technology, France
Eric Bensana, ONERA, France
Patrick Fabiani, ONERA, France
Jean-Loup Farges, ONERA, France
Stéphane Millet, Dassault Aviation, France
Philippe Morignot, Axlog Ingénierie, France
Bruno Patin, Dassault Aviation, France
Gérald Petitjean, EURODECISION, France
Gauthier Pitois, Axlog Ingénierie, France
Jean-Clair Poncet, Sophis Technology, France
Chapter II: Extending Classical Planning for Time: Research Trends in Optimal and Suboptimal Temporal Planning
Antonio Garrido, Universidad Politécnica de Valencia, Spain
Eva Onaindia, Universidad Politécnica de Valencia, Spain
Section II: Constraint Satisfaction and Scheduling
Chapter III: Principles of Constraint Processing
Roman Barták, Charles University in Prague, Czech Republic
Chapter IV: Stratified Constraint Satisfaction Networks in Synergetic Multi-Agent Simulations of Language Evolution
Alexander Mehler, Bielefeld University, Germany
Chapter V: Soft-Constrained Linear Programming Support Vector Regression for Nonlinear Black-Box Systems Identification
Zhao Lu, Tuskegee University, USA
Jing Sun, University of Michigan, USA
Section III: Machine Learning
Chapter VI: Reinforcement Learning and Automated Planning: A Survey
Ioannis Partalas, Aristotle University of Thessaloniki, Greece
Dimitris Vrakas, Aristotle University of Thessaloniki, Greece
Ioannis Vlahavas, Aristotle University of Thessaloniki, Greece
Chapter VII: Induction as a Search Procedure
Stasinos Konstantopoulos, NCSR ‘Demokritos’, Greece
Rui Camacho, Universidade do Porto, Portugal
Nuno A. Fonseca, Universidade do Porto, Portugal
Vítor Santos Costa, Universidade Federal do Rio de Janeiro, Brasil
Chapter VIII: Single- and Multi-Order Neurons for Recursive Unsupervised Learning
Kiruthika Ramanathan, National University of Singapore, Singapore
Sheng Uei Guan, National University of Singapore, Singapore
Section IV: Optimization
Chapter IX: Optimising Object Classification: Uncertain Reasoning-Based Analysis Using CaRBS Systematic Research Algorithms
Malcolm J. Beynon, Cardiff University, U.K.
Chapter IX: Application of Fuzzy Optimization in Forecasting and Planning of Construction Industry
P. Vasant, Universiti Teknologi Petronas, Malaysia
N. Barsoum, Curtin University of Technology, Malaysia
C. Kahraman, Istanbul Technical University, Turkey
G. M. Dimirovski, Dogus University, Turkey
Chapter XI: Rank Improvement of Optimization Using PROMETHEE and trigonometric differential evolution
Malcolm J. Beynon, Cardiff University, UK
Section V: Genetic Algorithms and Programming
Chapter XII: Parallelizing Genetic Algorithms: A Case Study
Iker Gondra, St. Francis Xavier University, Canada
Chapter XIII: Using Genetic Programming to Extract Knowledge from Artificial Neural Networks
Daniel Rivero, University of A Coruña, Spain
Miguel Varela, University of A Coruña, Spain
Javier Pereira, University of A Coruña, Spain
