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AI
2002
Springer
15 years 4 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
AI
1999
Springer
15 years 4 months ago
Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning a
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
Minoru Asada, Eiji Uchibe, Koh Hosoda
ICTAI
2007
IEEE
15 years 10 months ago
Harnessing Ontologies for Argument-Based Decision-Making in Breast Cancer
We introduce a novel Ontology-based Argumentation Framework (OAF) that links a logic-based argumentation formalism and description logic ontologies. We show how these two formalis...
Matt Williams, Anthony Hunter
ISMIS
2003
Springer
15 years 9 months ago
Enacting an Agent-Based Digital Self in a 24x7 Web Services World
As broadband access to the Internet becomes pervasive, the need for a 24 hours a day, seven days a week (24x7) interface within the client devices, requires a level of sophisticati...
Steve Goschnick
AIPS
1998
15 years 5 months ago
Rationale-Based Monitoring for Planning in Dynamic Environments
We describe a framework for planning in dynamic environments. A central question is how to focus the sensing performed by such a system, so that it responds appropriately to relev...
Manuela M. Veloso, Martha E. Pollack, Michael T. C...