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» Goal Representation for BDI Agent Systems
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AAAI
2008
13 years 9 months ago
Integrating Multiple Learning Components through Markov Logic
This paper addresses the question of how statistical learning algorithms can be integrated into a larger AI system both from a practical engineering perspective and from the persp...
Thomas G. Dietterich, Xinlong Bao
AAAI
1994
13 years 8 months ago
Knowledge Refinement in a Reflective Architecture
A knowledge acquisition tool should provide a user with maximum guidance in extending and debugging a knowledge base, by preventing inconsistencies and knowledge gaps that may ari...
Yolanda Gil
CORR
2010
Springer
185views Education» more  CORR 2010»
13 years 4 months ago
Analysing the behaviour of robot teams through relational sequential pattern mining
This report outlines the use of a relational representation in a Multi-Agent domain to model the behaviour of the whole system. A desired property in this systems is the ability of...
Grazia Bombini, Raquel Ros, Stefano Ferilli, Ramon...
CEEMAS
2001
Springer
13 years 12 months ago
UML for Behavior-Oriented Multi-agent Simulations
Developing multi-agent simulations seems to be rather straight forward, as active entities in the original correspond to active agents in the model. Thus plausible behaviors can be...
Christoph Oechslein, Franziska Klügl, Rainer ...
AAAI
2006
13 years 8 months ago
Using an Ontology for Knowledge Acquisition
We describe an approach to distributed knowledge acquisition using an ontology. The ontology is used to represent and reason about soldier performance. These methods are embedded ...
Stacy Lovell, Webb Stacy