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» Learning of Agents with Limited Resources
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IAT
2006
IEEE
14 years 1 months ago
A Market-Based Adaptation for Resolving Competing Needs for Scarce Resources
The dynamic nature of many real-world domains (e.g., military, emergency first response and hurricane relief, etc) requires adaptive resource allocation to respond to changes in t...
Rui Wang, Tracy Mullen, Viswanath Avasarala, John ...
ITS
2004
Springer
129views Multimedia» more  ITS 2004»
14 years 1 months ago
Developing Learning by Teaching Environments That Support Self-Regulated Learning
Abstract. Betty’s Brain is a teachable agent system in the domain of river ecosystems that combines learning by teaching and self-regulation strategies to promote deep learning a...
Gautam Biswas, Krittaya Leelawong, Kadira Belynne,...
ATAL
2008
Springer
13 years 9 months ago
No-regret learning and a mechanism for distributed multiagent planning
We develop a novel mechanism for coordinated, distributed multiagent planning. We consider problems stated as a collection of single-agent planning problems coupled by common soft...
Jan-P. Calliess, Geoffrey J. Gordon
AISADM
2007
Springer
14 years 1 months ago
Robust Agent Communities
We believe that intelligent information agents will represent their users interest in electronic marketplaces and other forums to trade, exchange, share, identify, and locate goods...
Sandip Sen, Sabyasachi Saha, Stéphane Airia...
INFSOF
2002
72views more  INFSOF 2002»
13 years 7 months ago
Multi-item auctions for automatic negotiation
Available resources can often be limited with regard to the number of demands. In this paper we propose an approach for solving this problem which consists of using the mechanisms...
Houssein Benameur, Brahim Chaib-draa, Peter G. Kro...