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» Using Learning in a Control Agent
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AAAI
2006
15 years 3 months ago
Supporting Queries with Imprecise Constraints
In this paper, we motivate the need for and challenges involved in supporting imprecise queries over Web databases. Then we briefly explain our solution, AIMQ - a domain independe...
Ullas Nambiar, Subbarao Kambhampati
115
Voted
HCI
2009
15 years 6 days ago
Agent-Based Driver Abnormality Estimation
For enhancing current driver assistance and information systems with regard to the capability to recognize an individual driver's needs, we conceive a system based on fuzzy lo...
Tony Poitschke, Florian Laquai, Gerhard Rigoll
CONTEXT
2001
Springer
15 years 7 months ago
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
OFAI
1997
Springer
114views Robotics» more  OFAI 1997»
15 years 6 months ago
What Sort of Control System Is Able to Have a Personality?
This paper outlines a design-based methodology for the study of mind as a part of thebroaddisciplineofArtificial Intelligence. Withinthat frameworksome architectural requirements...
Aaron Sloman
ICRA
2003
IEEE
116views Robotics» more  ICRA 2003»
15 years 7 months ago
Learning to role-switch in multi-robot systems
We present an approach that uses Q-learning on individual robotic agents, for coordinating a missiontasked team of robots in a complex scenario. To reduce the size of the state sp...
Eric Martinson, Ronald C. Arkin