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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 together with PRICAI 2006.
The 39 revised complete papers and fifty seven revised brief papers awarded including four invited talks have been conscientiously reviewed and chosen from 203 submissions. Many present topics in multi-agent study and improvement are addressed, starting from theoretical and methodological matters to varied purposes in numerous fields. The papers are prepared in topical sections on agent types, agent architectures, agent-oriented software program engineering, agent grid, semantic internet provider, collaboration, coordination and negotiation, agent studying, P2P computing, and applications.
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Social commitments are commitments towards the other members of a community. They differ from the agent’s internal psychological commitments, which capture the persistence of intentions as specified in the rational interaction theory. As a social notion, commitments are a base for a normative framework that makes it possible to model the agents’ behavior. The argumentative approach was proposed by [12] as a method for modeling dialogue. It is based upon an argumentation system where the agents’ reasoning capabilities are often linked to their abilities to argue.
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[21] 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. The underlying semantics of our calculus is derived from labeled transition system.
The model proposed in this paper takes advantage of the idea that the undeterministic interactions between agents and between agents and their environment may result in emergent behavior a fundamental feature of a CAS. The model also utilises the idea of creating dynamic rules for the agents that allows them to respond to certain stimuli in the environment. The response to certain stimuli in the environment allows the agents to react with each other and with their environment. 5 ACEUS Agent Layers Just as the ants or bees are the individual agents in their colonies and hives, the organic and insilica agents are the individual agents in this framework.