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» Learning Models of Intelligent Agents
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106
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AAAI
2011
14 years 21 days ago
Relational Blocking for Causal Discovery
Blocking is a technique commonly used in manual statistical analysis to account for confounding variables. However, blocking is not currently used in automated learning algorithms...
Matthew J. Rattigan, Marc E. Maier, David Jensen
IAAI
2001
15 years 2 months ago
Interchanging Agents and Humans in Military Simulation
The innovative reapplication of a multi-agent system for human-in-the-loop (HIL) simulation was a consequence of appropriate agent oriented design. The use of intelligent agents f...
Clinton Heinze, Simon Goss, Torgny Josefsson, Kerr...
77
Voted
ATAL
2009
Springer
15 years 7 months ago
A model for integrating dialogue and the execution of joint plans
Coming up with a plan for a team that operates in a non-deterministic environment is a complex process, and the problem is further complicated by the need for team members to comm...
Yuqing Tang, Timothy J. Norman, Simon Parsons
AI
2006
Springer
15 years 4 months ago
Satisfaction Equilibrium: Achieving Cooperation in Incomplete Information Games
So far, most equilibrium concepts in game theory require that the rewards and actions of the other agents are known and/or observed by all agents. However, in real life problems, a...
Stéphane Ross, Brahim Chaib-draa
114
Voted
AWIC
2003
Springer
15 years 6 months ago
A Machine Learning Based Evaluation of a Negotiation between Agents Involving Fuzzy Counter-Offers
Abstract. Negotiation plays a fundamental role in systems composed of multiple autonomous agents. Some negotiations may require a more elaborated dialogue where agents would explai...
Javier Carbo Rubiera, Agapito Ledezma