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CIMCA
2005
IEEE
14 years 1 months ago
An Accelerating Learning Algorithm for Block-Diagonal Recurrent Neural Networks
An efficient training method for block-diagonal recurrent neural networks is proposed. The method modifies the RPROP algorithm, originally developed for static models, in order to...
Paris A. Mastorocostas, Dimitris N. Varsamis, Cons...
ECAI
2006
Springer
13 years 11 months ago
Computational Opinions
Existing approaches to knowledge representation and reasoning in the context of open systems either deal with "objective" knowledge or with beliefs. In contrast, there ha...
Felix A. Fischer, Matthias Nickles
ATAL
2006
Springer
13 years 11 months ago
Learning empathy: a data-driven framework for modeling empathetic companion agents
Affective reasoning plays an increasingly important role in cognitive accounts of social interaction. Humans continuously assess one another's situational context, modify the...
Scott W. McQuiggan, James C. Lester
ATAL
2008
Springer
13 years 10 months ago
Coalition game-based distributed coverage of unknown environments by robot swarms
We consider the problem of distributed exploration or coverage of an unknown environment by a swarm of mobile minirobots that have limited memory, computation and communication ca...
Ke Cheng, Prithviraj Dasgupta
AGENTCL
2003
Springer
14 years 1 months ago
Nonmonotonic Commitment Machines
CHOPRA, AMIT KHUSHWANT. Nonmonotonic Commitment Machines. (Under the direction of Dr. Munindar P. Singh). Protocols in open and dynamic multiagent systems cannot be modeled via fo...
Amit K. Chopra, Munindar P. Singh