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AAAI
2010
13 years 9 months ago
Learning Causal Models of Relational Domains
Methods for discovering causal knowledge from observational data have been a persistent topic of AI research for several decades. Essentially all of this work focuses on knowledge...
Marc Maier, Brian Taylor, Huseyin Oktay, David Jen...
AAAI
1996
13 years 9 months ago
Learning Models for Multi-Source Integration
One issue involved in accessing multiple heterogeneous information sources is how to integrate the retrieved data. SIMS, an information mediator, handles this problem by mapping t...
Sheila Tejada, Craig A. Knoblock, Steven Minton
IEAAIE
2011
Springer
12 years 11 months ago
A Computational Model of Habit Learning to Enable Ambient Support for Lifestyle Change
Agent-based applications have the potential to assist humans in their lifestyle change, for instance eliminating addictive behaviours or adopting new healthy behaviours. In order t...
Michel C. A. Klein, Nataliya M. Mogles, Jan Treur,...
ICAT
2003
IEEE
14 years 1 months ago
Agent-based Model for Intelligent Shopping Assistant and its Application
With the rapid expansion of the Internet, the implementation of agent technology in electronic commerce (e-commerce) becomes very popular, which provides a promising field for the...
Xu-Bing Pan, Zhi Geng, Yang-Hong Wei
AMKM
2003
Springer
14 years 29 days ago
Discovering, Visualizing, and Sharing Knowledge through Personalized Learning Knowledge Maps
This paper presents an agent-based approach to semantic exploration and knowledge discovery in large information spaces by means of capturing, visualizing and making usable implic...
Jasminko Novak, Michael Wurst, Monika Fleischmann,...