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» Representation and Reasoning for Goals in BDI Agents
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AAAI
2007
13 years 7 months ago
Learning by Reading: A Prototype System, Performance Baseline and Lessons Learned
A traditional goal of Artificial Intelligence research has been a system that can read unrestricted natural language texts on a given topic, build a model of that topic and reason...
Ken Barker, Bhalchandra Agashe, Shaw Yi Chaw, Jame...
CORR
2010
Springer
185views Education» more  CORR 2010»
13 years 1 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...
AAAI
2006
13 years 6 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
IJCAI
2007
13 years 6 months ago
Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RL
The goal of transfer learning is to use the knowledge acquired in a set of source tasks to improve performance in a related but previously unseen target task. In this paper, we pr...
Manu Sharma, Michael P. Holmes, Juan Carlos Santam...
WWW
2007
ACM
14 years 5 months ago
Bringing Semantics to Web Services with OWL-S
Current industry standards for describing Web Services are focused on ensuring interoperability across diverse platforms, but do not provide a good foundation for automating the u...
David L. Martin, Mark H. Burstein, Drew V. McDermo...