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» Evolution and learning in multiagent systems
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GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
14 years 1 months ago
Co-evolving recurrent neurons learn deep memory POMDPs
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
Faustino J. Gomez, Jürgen Schmidhuber
ATAL
2005
Springer
14 years 1 months ago
Coordinating multiple rovers with interdependent science objectives
This paper describes an integrated system for coordinating multiple rover behavior with the overall goal of collecting planetary surface data. The MISUS system combines techniques...
Tara A. Estlin, Daniel M. Gaines, Forest Fisher, R...
ISF
2008
210views more  ISF 2008»
13 years 7 months ago
Affective e-Learning in residential and pervasive computing environments
This article examines how emerging pervasive computing and affective computing technologies might enhance the adoption of ICT in e-Learning which takes place in the home and wider ...
Liping Shen, Victor Callaghan, Ruimin Shen
ATAL
2010
Springer
13 years 8 months ago
Argumentative alternating offers
This paper presents an argumentative version of the well known alternating offers negotiation protocol. The negotichanism is based on an abstract preference based argumentation fr...
Nabila Hadidi, Yannis Dimopoulos, Pavlos Moraitis
ML
2010
ACM
175views Machine Learning» more  ML 2010»
13 years 2 months ago
Concept learning in description logics using refinement operators
With the advent of the Semantic Web, description logics have become one of the most prominent paradigms for knowledge representation and reasoning. Progress in research and applica...
Jens Lehmann, Pascal Hitzler