Negotiation is essential in settings where agents have conflicting interests and a desire to cooperate. In many approaches, agents are assumed to have pre-set, fixed preferences...
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
The argument against ASIC SoCs is that they have always taken too long and cost too much to design. As new process technologies come on line, the issue of inflexible, unyielding d...
J. Bryan Lewis, Ivo Bolsens, Rudy Lauwereins, Chri...
Mobile agent security is still a young discipline and most naturally, the focus up to the time of writing was on inventing new cryptographic protocols for securing various aspects ...
Team strategy acquisition is one of the most important issues of multiagent systems, especially in an adversary environment. RoboCup has been providing such an environment for AI a...