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IJCAI
2001
14 years 1 months ago
Fair Imposition
Yoav Shoham, Moshe Tennenholtz
IJCAI
2001
14 years 1 months ago
The Exponentiated Subgradient Algorithm for Heuristic Boolean Programming
Boolean linear programs (BLPs) are ubiquitous in AI. Satisfiability testing, planning with resource constraints, and winner determination in combinatorial auctions are all example...
Dale Schuurmans, Finnegan Southey, Robert C. Holte
IJCAI
2001
14 years 1 months ago
A Comparative Study of Logic Programs with Preference
We are interested in semantical underpinnings for existing approaches to preference handling in extended logic programming (within the framework of answer set programming). As a s...
Torsten Schaub, Kewen Wang
IJCAI
2001
14 years 1 months ago
Discriminating Animate from Inanimate Visual Stimuli
From as early as 6 months of age, human children distinguish between motion patterns generated by animate objects from patterns generated by moving inanimate objects, even when th...
Brian Scassellati
IJCAI
2001
14 years 1 months ago
CABOB: A Fast Optimal Algorithm for Combinatorial Auctions
Combinatorial auctions where bidders can bid on bundles of items can lead to more economical allocations, but determining the winners is NP-complete and inapproximable. We present...
Tuomas Sandholm, Subhash Suri, Andrew Gilpin, Davi...
IJCAI
2001
14 years 1 months ago
Market Clearability
Market mechanisms play a central role in AI as a coordination tool in multiagent systems and as an application area for algorithm design. Mechanisms where buyers are directly clea...
Tuomas Sandholm, Subhash Suri
IJCAI
2001
14 years 1 months ago
Active Learning for Class Probability Estimation and Ranking
For many supervised learning tasks it is very costly to produce training data with class labels. Active learning acquires data incrementally, at each stage using the model learned...
Maytal Saar-Tsechansky, Foster J. Provost
IJCAI
2001
14 years 1 months ago
Relational Learning via Propositional Algorithms: An Information Extraction Case Study
This paper develops a new paradigm for relational learning which allows for the representation and learning of relational information using propositional means. This paradigm sugg...
Dan Roth, Wen-tau Yih
IJCAI
2001
14 years 1 months ago
Robot Weightlifting By Direct Policy Search
This paper describes a method for structuring a robot motor learning task. By designing a suitably parameterized policy, we show that a simple search algorithm, along with biologi...
Michael T. Rosenstein, Andrew G. Barto