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AAAI
2004
14 years 11 months ago
The Independent LifeStyle AssistantTM (I.L.S.A.): AI Lessons Learned
The Independent LifeStyle AssistantTM (I.L.S.A.) is an agentbased monitoring and support system to help elderly people to live longer in their homes by reducing caregiver burden. ...
Karen Zita Haigh, Liana M. Kiff, Janet Myers, Vale...
AAAI
2010
14 years 11 months ago
Integrating Sample-Based Planning and Model-Based Reinforcement Learning
Recent advancements in model-based reinforcement learning have shown that the dynamics of many structured domains (e.g. DBNs) can be learned with tractable sample complexity, desp...
Thomas J. Walsh, Sergiu Goschin, Michael L. Littma...
CCIA
2005
Springer
15 years 3 months ago
Acquiring Unobtrusive Relevance Feedback through Eye-Tracking in Ambient Recommender Systems
Acquiring relevant information to keep user’s preferences up-to-date is crucial in recommender systems in order to close the cycle of recommendations. Ambient Intelligence is a s...
Gustavo González, Beatriz López, Cec...
ATAL
2008
Springer
14 years 12 months ago
Evaluating the performance of DCOP algorithms in a real world, dynamic problem
Complete algorithms have been proposed to solve problems modelled as distributed constraint optimization (DCOP). However, there are only few attempts to address real world scenari...
Robert Junges, Ana L. C. Bazzan
ATAL
2010
Springer
14 years 11 months ago
Modeling recursive reasoning by humans using empirically informed interactive POMDPs
Recursive reasoning of the form what do I think that you think that I think (and so on) arises often while acting rationally in multiagent settings. Several multiagent decision-ma...
Prashant Doshi, Xia Qu, Adam Goodie, Diana Young