E Commerce

Agent Mediated Electronic Commerce: The European AgentLink by Frank Dignum, Carles Sierra

By Frank Dignum, Carles Sierra

It is now not essential to argue the significance of agent know-how. Be- des a variety of meetings and workshops on speci c points of agent know-how there also are many businesses which are exploring its exploitation chances. within the mild of those advancements and with a view to foster the move of agent know-how from examine labs to enterprise, the european has funded a \network of exc- lence" dedicated to agent expertise. This community of excellence, referred to as AgentLink (http://www. agentlink. org/), goals at bringing jointly learn teams from d- ferent nations and commercial builders. the final word target is to create synergy one of the di erent initiatives and teams to enhance the competence of eu and the distinction of academia. to be able to do so target, Agent- hyperlink organises academic actions (summer schools), builds agent-related - terature repositories, and enables collaboration among member nodes. one of many major actions regarding the final aspect are the standard conferences of \S- cial curiosity teams" (SIGs). At this second six SIGs are functioning, targeting subject matters starting from agent dependent social simulation to clever brokers for telecommunications functions and telematics. the present booklet combines effects from the actions of the SIG on \Agent Mediated digital Commerce". This SIG gathers the most study teams and business companions drawn to using agent know-how in el- tronic trade. initially the publication incorporates a roadmap of study and present technological advancements within the zone of agent-mediated digital commerce.

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No yes Q in Ci? no Fulfil failure criterion? MODIFY(Q) yes yes Impossible Send message Send message Report-Failure(SBP) Report-Agreement(P) to modify Q Result: R Send message Send message Refuse(Q) Modify(Q,R) End of negotiation Fig. 1. Simplified behavior of agents. A3 and modified by A2 into P2 . P2 is then agreed upon by all three agents. The possible message sequences dealing with P1 and P2 could be for instance: • dealing with P1 : 1. [A1 : propose(P1 ), A2 : modify(P1 , P2 ), A3 : refuse(P1 )] or 2.

A Classification Scheme for Negotiation in Electronic Commerce 23 reasons, including the desire to avoid the disruptive effects of a single point of failure, and performance bottlenecks. Pareto efficiency: An outcome is Pareto efficient if there is no other outcome that improves the lot of one agent without making another agent worse off. All other things being equal, Pareto efficient solutions are preferred over those that are not. Symmetry: Generally in e-commerce settings, no one agent has complete control of the game.

It is important to point out that in such a graph arrows go from the Designing and Testing Negotiation Protocols 45 Start of negotiation yes Send message Abort Abort negotiation? State "init" no yes Empty PROPOSE mailbox? Impossible Result: R no to propose SELECT Update Send message Send message message in KB Propose(R) No-Proposal mailbox Refuse(P) Propose(Q) Modify(P,Q) Message Update State chosen? " No-Proposal Abort Send message Update Accept(Q) KB yes Q in Ci? Comply with no agreement criterion?

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