Abstract. This paper describes an experiment in studying coordination in intelligent agent societies in terms of state-variable models. An overview of the modeling framework is first provided. The architectural foundation for the modeling approach is then described. This description is followed by a sample application of the methodology in analyzing a coordination scenario. A simulation of the ...

Complex tasks are often solved by teams because no one individual has the collective expertise, information, or resources required for the e ective completion or performance of a task. This paper describes a prototype, implemented in the RETSINA multi-agent infrastructure, in which agents interact with each other via capability-based and team-oriented coordination. We propose a model of team-or...

Significant research progress and understanding about the nature of coordination has been made over the years. Development of the DCOP and DEC-MDP frameworks in the past decade has been especially important. Although these advances are very important for multi-agent coordination theory, they overlook a set of coordination behaviors and phenomena that have been observed empirically by many resea...

The development of multi-agent systems on the Web requires powerful and e ective coordination models, languages and patterns. Even more, it calls for an e ective coordination technology, not only implementing a coordination model, but also supporting its metaphors at the development system level, and enabling developers to work at any time at the abstraction level required. This paper presents ...

Logic languages have already proved to be effective in developing single agents and enabling inter-agent communication in multiagent systems. In this paper, we show how LP can also be exploited for multi-agent coordination, by ruling inter-agent communication so as to build social behaviours. For this purpose, we present the LP-based LuCe model and technology for the coordination of Internet ag...

This paper introduces Rudder, a peer-to-peer agent framework for supporting autonomic applications in decentralized distributed environments. The framework provides agents to discover, select, and compose elements, and defines agent interaction and negotiation protocols to enable appropriate application behaviors to be dynamically negotiated and enacted. The implementations of these protocols a...

We present a novel architecture to design multi–agent systems. Each agent is described by features that can dynamically change, while it is participating to the common activity. Basing on these features, a coordination system assigns agents to jobs and schemas, i.e., complex activities which require the collaboration of more than one agent. The coordination system can be distributed on the agen...

Multiagent Data Warehousing (MADWH) and Multiagent Data Mining (MADM) presents a multidimensional agent-oriented approach for brain modelling and decision making based on the hypothesis that a brain system consists of a society of semiautonomous neural agents and full autonomy is the result of coordination of semiautonomous functionalities. The agent-oriented approach leads to the following con...

Multi-agent planning involves finding a plan for each agent in a group where the goals, the actions and the initial resources are distributed over these autonomous agents. An algorithm is given for multi-agent planning that constructs coordinated agent plans distributedly. Instead of designing a planning algorithm and a coordination method separately, this algorithm integrates planning and coor...

A tuple centre is a Linda-like tuple space whose behaviour can be programmed by means of transactional reactions to the standard communication events. This paper de nes the notion of tuple centre, and shows the impact of its adoption as a coordination medium for a distributed multi-agent system on both the system design and the overall system e ciency.