Journal of Artificial Intelligence Research (JAIR), Volume 24

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
  
• Quoc Bao Vo, Norman Y. Foo:
  Reasoning about Action: An Argumentation - Theoretic Approach. 465-518
  
• Jörg Hoffmann, Stefan Edelkamp:
  The Deterministic Part of IPC-4: An Overview. 519-579
  
• 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
  
• The paper "Relational Dynamic Bayesian Networks" was 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
  
• Blai Bonet, Hector Geffner:
  mGPT: A Probabilistic Planner Based on Heuristic Search. 933-944