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...
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...
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 ...
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...
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...