Sciweavers

AAAI
2006
14 years 29 days ago
Finding Maximally Satisfiable Terminologies for the Description Logic ALC
For ontologies represented as Description Logic Tboxes, optimised DL reasoners are able to detect logical errors, but there is comparatively limited support for resolving such pro...
Thomas Andreas Meyer, Kevin Lee, Richard Booth, Je...
AAAI
2006
14 years 29 days ago
Strong Mediated Equilibrium
Providing agents with strategies that will be robust against deviations by coalitions is central to the design of multi-agent agents. However, such strategies, captured by the not...
Dov Monderer, Moshe Tennenholtz
AAAI
2006
14 years 29 days ago
Temporal Preference Optimization as Weighted Constraint Satisfaction
We present a new efficient algorithm for obtaining utilitarian optimal solutions to Disjunctive Temporal Problems with Preferences (DTPPs). The previous state-of-the-art system ac...
Michael D. Moffitt, Martha E. Pollack
AAAI
2006
14 years 29 days ago
Model-Based Collaborative Filtering as a Defense against Profile Injection Attacks
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
Bamshad Mobasher, Robin D. Burke, Jeff J. Sandvig
AAAI
2006
14 years 29 days ago
Algorithms for Control and Interaction of Large Formations of Robots
NSF and NASA sponsored a workshop to discuss harvesting solar power in space. One solution considered was the use of a swarm of robots to form a solar reflector. How can these rob...
Ross Mead, Jerry B. Weinberg
AAAI
2006
14 years 29 days ago
Extracting Knowledge about Users' Activities from Raw Workstation Contents
A long-standing goal of AI is the development of intelligent workstation-based personal agents to assist users in their daily lives. A key impediment to this goal is the unrealist...
Tom M. Mitchell, Sophie H. Wang, Yifen Huang, Adam...
AAAI
2006
14 years 29 days ago
Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification
This paper presents multi-conditional learning (MCL), a training criterion based on a product of multiple conditional likelihoods. When combining the traditional conditional proba...
Andrew McCallum, Chris Pal, Gregory Druck, Xuerui ...
AAAI
2006
14 years 29 days ago
Learning Representation and Control in Continuous Markov Decision Processes
This paper presents a novel framework for simultaneously learning representation and control in continuous Markov decision processes. Our approach builds on the framework of proto...
Sridhar Mahadevan, Mauro Maggioni, Kimberly Fergus...
AAAI
2006
14 years 29 days ago
Probabilistic Temporal Planning with Uncertain Durations
Few temporal planners handle both concurrency and uncertain durations, but these features commonly co-occur in realworld domains. In this paper, we discuss the challenges caused b...
Mausam, Daniel S. Weld