858 search results - page 111 / 172 » Planning and defeasible reasoning |
AI
1999
Springer
14 years 11 months ago
1999
Springer
A central problem in multistrategy learning systems is the selection and sequencing of machine learning algorithms for particular situations. This is typically done by the system ...
111
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ATAL
2010
Springer
15 years 2 days ago
2010
Springer
One of the most challenging aspects of reasoning, planning, and acting in a multi-agent domain is reasoning about what the agents know about the knowledge of their fellows, and to...
177
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ICDE
2006
IEEE
16 years 1 months ago
2006
IEEE
Wireless sensor networks generate a vast amount of data. This data, however, must be sparingly extracted to conserve energy, usually the most precious resource in battery-powered ...
IROS
2008
IEEE
15 years 6 months ago
2008
IEEE
Abstract— Knowledge of the driving environment is essential for robotic vehicles to comply with traffic rules while autonomously traversing intersections. However, due to limite...
ATAL
2007
Springer
15 years 6 months ago
2007
Springer
Reasoning about agents that we observe in the world is challenging. Our available information is often limited to observations of the agent’s external behavior in the past and p...