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» Arguing Using Opponent Models
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AAMAS
2008
Springer
15 years 1 months ago
Agents that argue and explain classifications
Argumentation is a promising approach used by autonomous agents for reasoning about inconsistent/incomplete/uncertain knowledge, based on the construction and the comparison of ar...
Leila Amgoud, Mathieu Serrurier
105
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ECSQARU
2007
Springer
15 years 7 months ago
Arguing over Actions That Involve Multiple Criteria: A Critical Review
Abstract. There has recently been many proposals to adopt an argumentative approach to decision-making. As the underlying assumptions made in these different approaches are not al...
Wassila Ouerdane, Nicolas Maudet, Alexis Tsouki&ag...
134
Voted
ESAW
2007
Springer
15 years 7 months ago
Arguing about Reputation: The LRep Language
In the field of multiagent systems (MAS), the computational models of trust and reputation have attracted increasing interest since electronic and open environments became a reali...
Isaac Pinyol, Jordi Sabater-Mir
139
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ATAL
2011
Springer
14 years 1 months ago
Using iterated reasoning to predict opponent strategies
The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For ex...
Michael Wunder, Michael Kaisers, John Robert Yaros...
144
Voted
ESWA
2008
169views more  ESWA 2008»
15 years 20 days ago
Predicting opponent's moves in electronic negotiations using neural networks
Electronic negotiation experiments provide a rich source of information about relationships between the negotiators, their individual actions, and the negotiation dynami...
Réal Carbonneau, Gregory E. Kersten, Rustam...