Volume 24, 2005
Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas: CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population Features. 1-48
Piotr J. Gmytrasiewicz, Prashant Doshi: A Framework for Sequential Planning in Multi-Agent Settings. 49-79
Peter Geibel, Fritz Wysotzki: Risk-Sensitive Reinforcement Learning Applied to Control under Constraints. 81-108
Peter Hawkins, Vitaly Lagoon, Peter J. Stuckey: Solving Set Constraint Satisfaction Problems using ROBDDs. 109-156
Pamela W. Jordan, Marilyn A. Walker: Learning Content Selection Rules for Generating Object Descriptions in Dialogue. 157-194
Matthijs T. J. Spaan, Nikos A. Vlassis: Perseus: Randomized Point-based Value Iteration for POMDPs. 195-220
Jean-Paul Watson, L. Darrell Whitley, Adele E. Howe: Linking Search Space Structure, Run-Time Dynamics, and Problem Difficulty: A Step Toward Demystifying Tabu Search. 221-261
Valentina Bayer Zubek, Thomas G. Dietterich: Integrating Learning from Examples into the Search for Diagnostic Policies. 263-303
Philipp Cimiano, Andreas Hotho, Steffen Staab: Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis. 305-339
Roni Khardon, Dan Roth, Rocco A. Servedio: Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms. 341-356
Georg Gottlob, Gianluigi Greco, Francesco Scarcello: Pure Nash Equilibria: Hard and Easy Games. 357-406
Partha Sarathi Dutta, Nicholas R. Jennings, Luc Moreau: Cooperative Information Sharing to Improve Distributed Learning in Multi-Agent Systems. 407-463

Adi Botea, Markus Enzenberger, Martin Müller, Jonathan Schaeffer: Macro-FF: Improving AI Planning with Automatically Learned Macro-Operators. 581-621
Dimitris Achlioptas, Haixia Jia, Cristopher Moore: Hiding Satisfying Assignments: Two are Better than One. 623-639
Kostas Stergiou, Nikos Samaras: Binary Encodings of Non-binary Constraint Satisfaction Problems: Algorithms and Experimental Results. 641-684
Jörg Hoffmann: Where 'Ignoring Delete Lists' Works: Local Search Topology in Planning Benchmarks. 685-758
(paper retracted). ...
Michael Beetz, Henrik Grosskreutz: Probabilistic Hybrid Action Models for Predicting Concurrent Percept-driven Robot Behavior. 799-849
Håkan L. S. Younes, Michael L. Littman, David Weissman, John Asmuth: The First Probabilistic Track of the International Planning Competition. 851-887
Manfred Jaeger: Ignorability in Statistical and Probabilistic Inference. 889-917
Menkes van den Briel, Subbarao Kambhampati: Optiplan: Unifying IP-based and Graph-based Planning. 919-931



