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AAMAS
2002
Springer
13 years 10 months ago
Cooperative Learning Using Advice Exchange
Abstract. One of the main questions concerning learning in a Multi-Agent System's environment is: "(How) can agents benefit from mutual interaction during the learning pr...
Luís Nunes, Eugenio Oliveira
AAAI
2008
14 years 1 months ago
Sketch Recognition Based on Manifold Learning
Current feature-based methods for sketch recognition systems rely on human-selected features. Certain machine learning techniques have been found to be good nonlinear features ext...
Heeyoul Choi, Tracy Hammond
IAT
2010
IEEE
13 years 8 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
AMEC
2003
Springer
14 years 3 months ago
Improving Learning Performance by Applying Economic Knowledge
Digital information economies require information goods producers to learn how to position themselves within a potentially vast product space. Further, the topography of this spac...
Christopher H. Brooks, Robert S. Gazzale, Jeffrey ...
SGAI
2007
Springer
14 years 4 months ago
Can Agents Without Concepts Think? An Investigation Using a Knowledge Based System
Grid-World is a working computer model which has been used to investigate the search capabilities of artificial agents that understand the world in terms of non-conceptual content...
Nicky Moss, Adrian Hopgood, Martin Weller