By Frank Dignum, Carles Sierra
It is now not essential to argue the significance of agent expertise. Be- des a variety of meetings and workshops on speci c elements of agent know-how there also are many businesses which are exploring its exploitation chances. within the gentle of those advancements and for you to foster the move of agent know-how from study labs to company, the ecu has funded a \network of exc- lence" dedicated to agent know-how. 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 objective is to create synergy one of the di erent initiatives and teams to enhance the competence of eu and the distinction of academia. so one can do so objective, Agent- hyperlink organises academic actions (summer schools), builds agent-related - terature repositories, and allows collaboration among member nodes. one of many major actions regarding the final aspect are the average conferences of \S- cial curiosity teams" (SIGs). At this second six SIGs are functioning, targeting themes starting from agent established social simulation to clever brokers for telecommunications purposes 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 commercial companions attracted to using agent expertise in el- tronic trade. initially the booklet encompasses a roadmap of analysis and present technological advancements within the region of agent-mediated digital commerce.
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Additional info for Agent Mediated Electronic Commerce: The European AgentLink Perspective
Clearly, there are various degrees of how static or dynamic environments can be, and this is only a simplification. Even so, the dynamicity of the environment might affect the design of the utility function of the agents in a subtle way. R. Lomuscio, M. R. Jennings behaviour would be less likely to produce a positive payoff in a very dynamic environment. The characteristics of the goods also crucially define the negotiation protocol: – private/public value of the goods; and – nature of the goods.
Indeed, such series must take into account how agents process the various proposals. However, agents process messages (embodying the proposals) they receive in whatever order that suits them. This thus leads to a combinatoric explosion with regard to the number of possible series. But, if one deals with possible message sequences related to a given proposal, then expressing all of them becomes feasible. Such sequences start when a new proposal appears and end when agents run out of (outgoing) messages related to this proposal.
Here we focused specifically on automated negotiation since we consider this to be the key type of interaction in such systems. Automated negotiation, like its human analogue, is a very broad and encompassing discipline. For this reason, it is important to understand the dimensions and range of options that are available. As a preliminary step in this direction, we have developed a classification scheme that is specifically targeted at automated negotiation for e-commerce settings. This classification scheme was illustrated on the papers contained in this volume and the results are summarised in Table 1.