Volume 34, Issue 1, 2009
Interactive Policy Learning through Confidence-Based Autonomy
S. Chernova and M. Veloso . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
1
A Heuristic Search Approach to Planning with Continuous Resources in Stochastic Domains
N. Meuleau, E. Benazera, R. I. Brafman, E. A. Hansen, and Mausam . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
27
Asynchronous Forward Bounding for Distributed COPs
A. Gershman, A. Meisels, and R. Zivan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
61
Policy Iteration for Decentralized Control of Markov Decision Processes
D. S. Bernstein, C. Amato, E. A. Hansen, and S. Zilberstein . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
89
Generic Preferences over Subsets of Structured Objects
M. Binshtok, R. I. Brafman, C. Domshlak, and S. E. Shiomony . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
133
Behavior Bounding: An Efficient Method for High-Level Behavior Comparison
S. A. Wallace . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
165
Mechanisms for Making Crowds Truthful
R. Jurca and B. Faltings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
209
Unsupervised Methods for Determining Object and Relation Synonyms on the Web
A. Yates and O. Etzioni . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
255
Monte Carlo Sampling Methods for Approximating Interactive POMDPs
P. Doshi and P. J. Gmytrasiewicz . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
297
Identification of Pleonastic It Using the Web
Y. Li, P. Musilek, M. Reformat, and L. Wyard-Scott . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
339

J
A
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AN INTERNATIONAL ELECTRONIC AND PRINT JOURNAL
Editors and Staff, 2009
Editor-in-Chief
Adnan Darwiche
Associate Editor-in-Chief
Shlomo Zilberstein
Associate Editors
Chitta Baral
Regina Barzilay
Christian Bessiere
Ronen Brafman
Gerhard Brewka
Vincent Conitzer
Giuseppe De Giacomo
Dieter Fox
Hector Geffner
Lise Getoor
Joerg Hoffman
Adele Howe
Thorsten Joachims
Jerome Lang
Lillian Lee
Kevin Leyton-Brown
Shaul Markovitch
Chris Meek
Pedro Meseguer
Andrew Ng
Dragomir Radev
Jeff Rosenschein
Sylvie Thiebaux
Gerard Verfaillie
Michael Wooldridge
Editorial Board
Blai Bonet
David Blei
Yiling Chen
Xiaoping Chen
David Chiang
Alessandro Cimatti
Minh Dinh Do
Prashant Doshi
Stefan Edelkamp
Edith Elkind
Alan Fern
Amir Globerson
Judy Goldsmith
Eric Hansen
Patrik Haslum
Malte Helmert
Holger Hoos
Manfred Jaeger
Kristian Kersting
Dan Klein
Javier Larrosa
Kathryn Laskey
Felipe Manya
Lluis Marquez
Pierre Marquis
Hwee Tou Ng
Ilkka Niemela
Bo Pang
Simon Parsons
Joelle Pineau
Pascal Poupart
Ariel Procaccia
Daniel Reeves
Riccardo Rosati
Wheeler Ruml
Ashish Sabharwal
Lakhdar Sais
Torsten Schaub
Christian Shelton
Tobias Scheffer
Thomas Schiex
Ben Taskar
Kristen Venable
Kiri Wagstaff
Neil Yorke-Smith
Advisory Board
Fahiem Bacchus
Peter Bartlett
Walter Daelemans
Rina Dechter
Luc De Raedt
Oren Etzioni
Boi Faltings
Maria Fox
Russell Greiner
Subbarao Kambhampati
Sven Koenig
Gerhard Lakemeyer
Paolo Liberatore
Fangzhen Lin
Daniel Marcu
Steven Minton
Martha Pollack
Francesca Rossi
Diana Spears
Milind Tambe
Moshe Tennenholtz
Michael Wellman
Makoto Yokoo
Nevin Zhang
Toby Walsh
Dan Weld
Managing Editor
Steven Minton
Special Projects
Toby Walsh
Production Supervisor
Lillian Bluestein
About JAIR
JAIR 's editorial board is dedicated to the rapid dissemination of important research results to the global AI community. The journal's scope encompasses all areas of artificial intelligence, including automated reasoning, cognitive modeling, knowledge representation, learning, natural language, neural networks, perception, and robotics. For information regarding submissions, AI Access Foundation, or the JAIR editorial charter, please see jair.org
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Copyright © 2009 by AI Access Foundation and the Association for the Advancement of Artificial Intelligence. All rights reserved. No part of this publication may be reproduced in whole or in part without prior written permission. Unless otherwise stated, the views expressed in published material are those of the authors and do not necessarily reflect the policies or opinions of JAIR, its editors and staff, AI Access Foundation, or the Association for the Advancement of Artificial Intelligence.
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