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IAT
2009
IEEE
14 years 17 days ago
The Benefits of Opponent Models in Negotiation
Information about the opponent is essential to improve automated negotiation strategies for bilateral multiissue negotiation. In this paper we propose a negotiation strategy that e...
Koen V. Hindriks, Catholijn M. Jonker, Dmytro Tykh...
AAI
2005
166views more  AAI 2005»
13 years 8 months ago
Interactive Knowledge Construction in the Collaborative Building of an Encyclopedia
1 One of the major challenges of Applied Artificial Intelligence is to provide environments where high level human activities like learning, constructing theories or performing exp...
Philippe Lemoisson, Stefano A. Cerri
IUI
2006
ACM
14 years 2 months ago
Intelligent fridge poetry magnets
This paper presents a community of communicating embodied agents which learn an adjacency-based grammar from user interactions. The agents act as intelligent fridge magnets, each ...
Kavita Thomas, Pierre Proske, Mattias Rickardsson
ICML
2003
IEEE
14 years 9 months ago
BL-WoLF: A Framework For Loss-Bounded Learnability In Zero-Sum Games
We present BL-WoLF, a framework for learnability in repeated zero-sum games where the cost of learning is measured by the losses the learning agent accrues (rather than the number...
Vincent Conitzer, Tuomas Sandholm
AAAI
2010
13 years 10 months ago
Towards Multiagent Meta-level Control
Embedded systems consisting of collaborating agents capable of interacting with their environment are becoming ubiquitous. It is crucial for these systems to be able to adapt to t...
Shanjun Cheng, Anita Raja, Victor R. Lesser