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» Modelling Human Intelligence: A Learning Mechanism
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AIIDE
2008
13 years 10 months ago
Combining Model-Based Meta-Reasoning and Reinforcement Learning for Adapting Game-Playing Agents
Human experience with interactive games will be enhanced if the software agents that play the game learn from their failures. Techniques such as reinforcement learning provide one...
Patrick Ulam, Joshua Jones, Ashok K. Goel
ATAL
2009
Springer
14 years 2 months ago
Comparing trust mechanisms for monitoring aggregator nodes in sensor networks
Sensor nodes are often used to collect data from locations inaccessible or hazardous for humans. As they are not under normal supervision, these nodes are particularly susceptible...
Oly Mistry, Anil Gürsel, Sandip Sen
CHI
2007
ACM
14 years 8 months ago
How it works: a field study of non-technical users interacting with an intelligent system
In order to develop intelligent systems that attain the trust of their users, it is important to understand how users perceive such systems and develop those perceptions over time...
Joe Tullio, Anind K. Dey, Jason Chalecki, James Fo...
ACMICEC
2006
ACM
157views ECommerce» more  ACMICEC 2006»
14 years 1 months ago
Adaptive mechanism design: a metalearning approach
Auction mechanism design has traditionally been a largely analytic process, relying on assumptions such as fully rational bidders. In practice, however, bidders often exhibit unkn...
David Pardoe, Peter Stone, Maytal Saar-Tsechansky,...
IJVR
2008
140views more  IJVR 2008»
13 years 7 months ago
Modelling Autonomous Virtual Agent Behaviours in a Virtual Environment for Risk
Our research deals with the design of a training system to support decision-making in the preparation and the management of maintenance interventions in high-risk industries namely...
Lydie Edward, Domitile Lourdeaux, Jean-Paul A. Bar...