Journal of Artificial Intelligence Research
Volume Twenty-Four
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Contents
CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population Features / 1
D. Ortiz-Boyer, C. Herv‡s-Mart’nez, and N. Garc’a-Pedrajas
A Framework for Sequential Planning in Multi-Agent Settings / 49
P. J. Gmytrasiewicz and P. Doshi
Risk-Sensitive Reinforcement Learning Applied to Control under Constraints / 81
P. Geibel and F. Wysotzki
Solving Set Constraint Satisfaction Problems using ROBDDs / 109
P. J. Hawkins, V. Lagoon, and P. J. Stuckey
Learning Content Selection Rules for Generating Object Descriptions in Dialogue / 157
P. W. Jordan and M. A. Walker
Perseus: Randomized Point-based Value Iteration for POMDPs / 195
M. T. J. Spaan and N. Vlassis
Linking Search Space Structure, Run-Time Dynamics, and Problem Difficulty:
A Step Toward Demystifying Tabu Search / 221
J. P. Watson, L. D. Whitley and A. E. Howe
Integrating Learning from Examples into the Search for Diagnostic Policies / 263
V. Bayer-Zubek and T. G. Dietterich
Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis / 305
P. Cimiano, A. Hotho, and S. Staab
Efficiency Versus Convergence of Boolean Kernels for On-Line Learning Algorithms / 341
R. Khardon, D. Roth and R. A. Servedio
Pure Nash Equilibria: Hard and Easy Games / 357
G. Gottlob, G. Greco, and F. Scarcello
Cooperative Information Sharing to Improve Distributed Learning in Multi-Agent Systems / 407
P. S. Dutta, N, R. Jennings and L. Moreau
Reasoning about Action: An Argumentation-Theoretic Approach / 465
Q. B. Vo and N. Y. Foo
The Deterministic Part of IPC-4: An Overview / 519
J. Hoffmann and S. Edelkamp
Macro-FF: Improving AI Planning with Automatically Learned Macro-Operators / 581
A. Botea, M. Enzenberger, M. Mueller, and J. Schaeffer
Hiding Satisfying Assignments: Two are Better than One / 623
D. Achlioptas, H. Jia and C. Moore
Binary Encodings of Non-binary Constraint Satisfaction Problems: Algorithms and Experimental Results / 641
N. Samaras and K. Stergiou
Where "Ignoring Delete Lists" Works: Local Search Topology in Planning Benchmarks / 685
J. Hoffmann
RETRACTED: DO NOT CITE
Relational Dynamic Bayesian Networks / 797
S. Sanghai, P. Domingos, and D. Weld
Probabilistic Hybrid Action Models for Predicting Concurrent Percept-driven Robot Behavior / 799
M. Beetz and H. Grosskreutz
The First Probabilistic Track of the International Planning Competition / 851
H. L. S. Younes, M. L. Littman, D. Weissman, and J. Asmuth
Ignorability in Statistical and Probabilistic Inference / 889
M. Jaeger
Optiplan: Unifying IP-based and Graph-based Planning / 919
M. H. L. van den Briel, and S. Kambhampati
mGPT: A Probabilistic Planner Based on Heuristic Search / 933
B. Bonet and H. Geffner
Index / 945