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116
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AIIDE
2008
15 years 2 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
AAMAS
2012
Springer
13 years 8 months ago
A formal model of emotions for an empathic rational dialog agent
Recent research has shown that virtual agents expressing empathic emotions toward users have the potentiality to enhance human-machine interaction. To provide empathic capabilitie...
Magalie Ochs, David Sadek, Catherine Pelachaud
IAT
2010
IEEE
14 years 10 months ago
An Interactive Tool for Constrained Clustering with Human Sampling
Abstract--This paper describes an interactive tool for constrained clustering that helps users to select effective constraints efficiently during the constrained clustering process...
Masayuki Okabe, Seiji Yamada
115
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CIA
2007
Springer
15 years 6 months ago
Agent Behavior Alignment: A Mechanism to Overcome Problems in Agent Interactions During Runtime
When two or more agents interacting, their behaviors are not necessarily matching. Automated ways to overcome conicts in the behavior of agents can make the execution of interacti...
Gerben G. Meyer, Nicolae B. Szirbik
ATAL
2011
Springer
14 years 12 days ago
Learning action models for multi-agent planning
In multi-agent planning environments, action models for each agent must be given as input. However, creating such action models by hand is difficult and time-consuming, because i...
Hankz Hankui Zhuo, Hector Muñoz-Avila, Qian...