By Zhongzhi Shi, Ramakoti Sadananada
This ebook constitutes the refereed complaints of the ninth Pacific Rim overseas Workshop on Multi-Agents, PRIMA 2006, held in Guilin, China, in August 2006 along side 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 matters in multi-agent learn and improvement are addressed, starting from theoretical and methodological concerns to numerous functions in several fields. The papers are equipped in topical sections on agent types, agent architectures, agent-oriented software program engineering, agent grid, semantic net carrier, collaboration, coordination and negotiation, agent studying, P2P computing, and applications.
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Additional resources for Agent Computing and Multi-Agent Systems: 9th Pacific Rim International Workshop on Multi-Agents, PRIMA 2006, Guilin, China, August 7-8, 2006, Proceedings
Keywords: Interaction protocol, Multi-agent, Dialogue protocol, π-Calculus. 1 Introduction Semantics of communication acts between agents in Multi-agent System(MAS) is one of important research fields of MAS. So research of interaction model and its semantics is very valuable. Many researches are based on the theories of speech acts. Social interactions, such as cooperation, coordination and negotiation, are enacted through a variety of Agent Communication Languages(ACLs) and interaction protocols.
Z. Shi and R. ): PRIMA 2006, LNAI 4088, pp. 34 – 45, 2006. © Springer-Verlag Berlin Heidelberg 2006 Synthesizing Stigmergy for Multi Agent Systems 35 2 Stigmergy Natural systems have been evolving for billions of years and exhibit phenomenal flexibility, adaptiveness, robustness and self-organization. From this immense amount of experience displayed in natural systems it would make sense to use nature as a mentor in the quest to develop software systems with similar characteristics. In this section the natural building blocks of stigmergy will be laid out.
3. We define two roles: tenderee and tenderer. Each of these roles has a process specification which define the protocol states for the role. Then the tenderee is idle and wait for messages. When the waiting time t1 is out, the tenderee deals with the received message through messages matching. If message type (performative) is non-understood or refuse, the tenderee removes the message from message queue and turn to idle state. As for all messages of propose of the tenderers, the tenderee enters a deliberative state, in which a decision is required.
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