Requirements Driven Agent Collaboration (RDAC) is a mechanism where the self-interested service agents actively and autonomously search for the required services submitted by the ...
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
The paper describes the architecture of Brown University’s agent, Botticelli, a finalist in the 2003 Trading Agent Competition in Supply Chain Management (TAC SCM). In TAC SCM,...
Michael Benisch, Amy R. Greenwald, Ioanna Grypari,...
Most of the current Internet trading frameworks, in particular their negotiation and payment phases, are intended for customers frequently connected to the Internet during an entir...
Interacting agents that interleave planning and execution must reach consensus on their commitments to each other. In domains where agents have varying degrees of interaction and ...