Abstract. We present a novel logic-based approach to automate multi-issue bilateral negotiation in e-marketplaces. In such frameworks issues to negotiate on can be multiple, interr...
Azzurra Ragone, Umberto Straccia, Tommaso Di Noia,...
Abstract. Autonomous agents operating in complex dynamic environments need the ability to integrate robust plan execution with higher level reasoning. This paper describes work to ...
Simon Parsons, Ola Pettersson, Alessandro Saffiott...
A key focus of contemporary agent-oriented research and engineering is on open multiagent systems composed of truly autonomous, interacting agents. This poses new challenges, as en...
In this demo, we present GENIUS, a tool that facilitates research in the area of bilateral multi-issue negotiation. It implements an open architecture allowing easy development an...
Koen V. Hindriks, Catholijn M. Jonker, Sarit Kraus...
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...