Developing dynamic strategies for multi-issue automated contracting in the agent based commercial grid

Multiple-issue negotiations between autonomous software agents allow the alignment of resource consumers\´ demand profiles and the specific service capabilities of resource providers. To address the inefficiencies of negotiations on imperfect markets, the negotiation model suggested here includes both self-interested negotiations driven by a heuristic strategy and a joint-gains approach to win/win-negotiations. The market based grid service allocation mechanism is based on negotiating agents that are aware oj their environment and leverage strategically relevant knowledge to maximize utility. The "GeneLab " simulation environment uses a genetic algorithm to find strong negotiation strategies and suitable knowledge processing rules.