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DLOG
1998
15 years 5 months ago
Learning Composite Concepts
This paper proposes a framework to learn concepts from di erent kinds of observations. We de ne a language to describe meta-concepts, that represent the sets of possible concepts ...
Patrick Lambrix, Pierpaolo Larocchia
AUSAI
2004
Springer
15 years 9 months ago
Domain-Adaptive Conversational Agent with Two-Stage Dialogue Management
The conversational agent understands and provides users with proper information based on natural language. Conventional agents based on pattern matching have much restriction to ma...
Jin-Hyuk Hong, Sung-Bae Cho
138
Voted
CIA
2006
Springer
15 years 7 months ago
Learning to Negotiate Optimally in Non-stationary Environments
Abstract. We adopt the Markov chain framework to model bilateral negotiations among agents in dynamic environments and use Bayesian learning to enable them to learn an optimal stra...
Vidya Narayanan, Nicholas R. Jennings
109
Voted
AAAI
2010
15 years 5 months ago
Toward an Architecture for Never-Ending Language Learning
We consider here the problem of building a never-ending language learner; that is, an intelligent computer agent that runs forever and that each day must (1) extract, or read, inf...
Andrew Carlson, Justin Betteridge, Bryan Kisiel, B...
IAT
2010
IEEE
15 years 1 months ago
Concept Learning Games: The Game of Query and Response
Abstract--This article deals with the issue of concept learning and tries to have a game theoretic view over the process of cooperative concept learning among agents in a multi-age...
Nima Mirbakhsh, Arman Didandeh, Mohsen Afsharchi