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» Language Evolution by Iterated Learning With Bayesian Agents
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ATAL
2007
Springer
13 years 12 months ago
Batch reinforcement learning in a complex domain
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
Shivaram Kalyanakrishnan, Peter Stone
COOPIS
2003
IEEE
13 years 11 months ago
Advertising Games for Web Services
In: Proceedings of the Eleventh International Conference on Cooperative Information Systems (CoopIS-03), pp. 93–109, Springer-Verlag LNCS Series. c 2003 by Springer-Verlag. We a...
Alessandro Agostini, Paolo Avesani
CICLING
2004
Springer
13 years 9 months ago
Extracting Domain Knowledge for Dialogue Model Adaptation
Domain shift is a challenging issue in dialogue management. This paper shows how to extract domain knowledge for dialogue model adaptation. The basic semantic concepts are derived ...
Kuei-Kuang Lin, Hsin-Hsi Chen
ALIFE
2008
13 years 5 months ago
The Nature of Words in Human Protolanguages: It's Not a Holophrastic-Atomic Meanings Dichotomy
There is an ongoing debate as to whether the words in early pre-syntactic forms of human language had simple atomic meanings like modern words [4, 5], or whether they were holophr...
Mike Dowman
CDVE
2004
Springer
113views Visualization» more  CDVE 2004»
13 years 11 months ago
Fostering Creativity in Cooperative Design
Creativity has become a valuable asset, given the fast paced changes most companies must nowadays deal with. Companies now look for creative, highly adaptive individuals who can ex...
Adriana Santarosa Vivacqua, Jano Moreira de Souza