Sciweavers

AAAI
2004
13 years 11 months ago
Affective Recruitment of Distributed Heterogeneous Agents
Members of multi-robot teams may need to collaborate to accomplish a task due to differences in capabilities. This paper describes an extension of the ALLIANCE architecture that e...
Aaron Gage, Robin R. Murphy
AAAI
2006
13 years 11 months ago
The Keystone Scavenger Team
Stereo vision for small mobile robots is a challenging problem, particularly when employing embedded systems with limited processing power. However, it holds the promise of greatl...
Jacky Baltes, John Anderson
AAAI
2004
13 years 11 months ago
Rapid Object Recognition from Discriminative Regions of Interest
Object recognition and detection represent a relevant component in cognitive computer vision systems, such as in robot vision, intelligent video surveillance systems, or multi-mod...
Gerald Fritz, Christin Seifert, Lucas Paletta, Hor...
AAAI
2004
13 years 11 months ago
SOFIA's Choice: An AI Approach to Scheduling Airborne Astronomy Observations
We describe an innovative solution to the problem of scheduling astronomy observations for the Stratospheric Observatory for Infrared Astronomy, an airborne observatory. The probl...
Jeremy Frank, Michael A. K. Gross, Elif Kürkl...
AAAI
2006
13 years 11 months ago
Planning with First-Order Temporally Extended Goals using Heuristic Search
Temporally extended goals (TEGs) refer to properties that must hold over intermediate and/or final states of a plan. The problem of planning with TEGs is of renewed interest becau...
Jorge A. Baier, Sheila A. McIlraith
AAAI
2004
13 years 11 months ago
VModel: A Visual Qualitative Modeling Environment for Middle-School Students
Learning how to create, test, and revise models is a central skill in scientific reasoning. We argue that qualitative modeling provides an appropriate level of representation for ...
Kenneth D. Forbus, Karen Carney, Bruce L. Sherin, ...
AAAI
2006
13 years 11 months ago
A Value Theory of Meta-Learning Algorithms
We use game theory to analyze meta-learning algorithms. The objective of meta-learning is to determine which algorithm to apply on a given task. This is an instance of a more gene...
Abraham Bagherjeiran
AAAI
2004
13 years 11 months ago
Metrics for Finite Markov Decision Processes
ENT ABSTRACTS
Norm Ferns, Prakash Panangaden, Doina Precup
AAAI
2006
13 years 11 months ago
An Interactive Constraint-Based Approach to Minesweeper
Kenneth M. Bayer, Josh Snyder, Berthe Y. Choueiry