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AAAI
2006
14 years 29 days ago
Preference Elicitation and Generalized Additive Utility
Any automated decision support software must tailor its actions or recommendations to the preferences of different users. Thus it requires some representation of user preferences ...
Darius Braziunas, Craig Boutilier
AAAI
2006
14 years 29 days ago
MPE and Partial Inversion in Lifted Probabilistic Variable Elimination
It is often convenient to represent probabilistic models in a first-order fashion, using logical atoms such as
Rodrigo de Salvo Braz, Eyal Amir, Dan Roth
AAAI
2006
14 years 29 days ago
On Strictly Competitive Multi-Player Games
We embark on an initial study of a new class of strategic (normal-form) games, so-called ranking games, in which the payoff to each agent solely depends on his position in a ranki...
Felix Brandt, Felix A. Fischer, Yoav Shoham
AAAI
2006
14 years 29 days ago
Preferences over Sets
Research on preference elicitation and reasoning typically focuses on preferences over single objects of interest. However, in a number of applications the "outcomes" of...
Ronen I. Brafman, Carmel Domshlak, Solomon Eyal Sh...
AAAI
2006
14 years 29 days ago
Factored Planning: How, When, and When Not
Automated domain factoring, and planning methods that utilize them, have long been of interest to planning researchers. Recent work in this area yielded new theoretical insight an...
Ronen I. Brafman, Carmel Domshlak
AAAI
2006
14 years 29 days ago
Robust Execution on Contingent, Temporally Flexible Plans
Stephen A. Block, Andreas F. Wehowsky, Brian C. Wi...
AAAI
2006
14 years 29 days ago
Fast Hierarchical Goal Schema Recognition
We present our work on using statistical, corpus-based machine learning techniques to simultaneously recognize an agent's current goal schemas at various levels of a hierarch...
Nate Blaylock, James F. Allen
AAAI
2006
14 years 29 days ago
A Benchmark for Cooperative Learning Agents
Jason M. Black, Dean F. Hougen
AAAI
2006
14 years 29 days ago
Subjective Mapping
Extracting a map from a stream of experience is a key problem in robotics and artificial intelligence in general. We propose a technique, called subjective mapping, that seeks to ...
Michael H. Bowling, Dana F. Wilkinson, Ali Ghodsi