By Zhongzhi Shi, Ramakoti Sadananada
This ebook constitutes the refereed lawsuits of the ninth Pacific Rim foreign Workshop on Multi-Agents, PRIMA 2006, held in Guilin, China, in August 2006 along with PRICAI 2006.
The 39 revised complete papers and fifty seven revised brief papers provided including four invited talks have been rigorously reviewed and chosen from 203 submissions. Many present matters in multi-agent learn and improvement are addressed, starting from theoretical and methodological matters to numerous purposes in several fields. The papers are prepared in topical sections on agent versions, agent architectures, agent-oriented software program engineering, agent grid, semantic net provider, collaboration, coordination and negotiation, agent studying, P2P computing, and applications.
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Additional info for Agent Computing and Multi-Agent Systems: 9th Pacific Rim International Workshop on Multi-Agents, PRIMA 2006, Guilin, China, August 7-8, 2006, Proceedings
While the clerk role waits for a customer to ask for an item t to change to the seeker role. The core of the dialogue is between a provider agent that wants to buy an item t and answers the questions asked by a seeker agent who inquires item characteristics to determine the product to sell. The results of the interchanges of questions q from the seeker agent and answers a from the provider agent are collected during the dialogue by both roles in sets Q of elements (q = a). The IP role is deﬁned in ﬁve cases separated by the choice operator.
Protocols are constructed from actions which control the flow of the protocol. E represents a behavior of silent action and then behavior E. The silent action denotes an internal computational step that an agent can perform independently of its environment. Interaction between agents is performed by the exchange of messages Msg which contain performatives. S! E is an output action sending message through channel S then acting as E. As for receiving message, we don’t have primitive action. By action of waitfor, if the message queue of agent is not empty then the agent executes the action Match(Msg) and decide to some other action dependent on the message type of performative content.
Finally, in section 5 we provide the conclusion and future work. 2 MIP-Calculus Among many formal tools, process algebras have often been proposed as a useful paradigm for the specification and analysis of the software behavioral properties. We have adapted π-calculus into a suitable process algebra, called Multi-agent Interaction Protocol Calculus (MIP-Calculus). Agents are be defined as processes of this calculus. The MIP-Calculus is a simple dialogue protocol language that is an extension of basic π-calculus with some primitives.
Agent Computing and Multi-Agent Systems: 9th Pacific Rim International Workshop on Multi-Agents, PRIMA 2006, Guilin, China, August 7-8, 2006, Proceedings by Zhongzhi Shi, Ramakoti Sadananada