Advances in Computer Science often arise from new ideas and concepts, that prove to be advantageous for the design of complex software systems. The con ception of multi agent systems is particularly attractive, as it prommodul ises arity based on the conceptual speciality of an agent, as well as flexibility in their inte gration through appropriate interaction models. While early systems drew upon co operative agents, recent developments have realised the importance of the notion of autonomy in the design of agent based applications. The emergence of systems of autonomous problem solving agents paves the way for complex Artificial Intelligence applications that allow fosca r lability and at the same time foster the reusability of their components. In consequence, an intelligent multi agent application can be seen as a collec tion of autonomous agents, usually specialised in different tasks, together with a social model of their interactions. This approach implies a dynamic generation of complex relational structures, that agents need to be knowledgeable of in order to successfully achieve their goals. Therefore, a multi agent system designer needs to think carefully about conceptualisation, representation and enactment of the different types of knowledge that its agents rely on, for individual problem solving as well as for mutual co ordination.
This monograph provides a comprehensive survey of the different approaches to coordination in societies of artificial an human agents. Setting out from a critical assessment of the state of the art, the author develops a method of structuring multi-agent applications with a mechanism called structural cooperation. Agents are equipped with expertise about their environment in order to detect and overcome specific types of problem, they make use of their social knowledge to mutually adjust their activities, and they are coerced toward coherent collective behavior through normative rules. The proposed model is formalized theoretically within game theory and realized by means of an agent architecture. It is assessed experimentally by building a prototype of a distributed decision support system for road traffic management and compared to an alternative model based on a centralized architecture. A valuable feature of the work is that it not only promotes a well-founded formal model of coordination in artificial agent societies but also applies it in an operational software architecture organized as a society of intelligent agents to solve real-world problems.
These are the proceedings of the Sixth International Workshop on Cooperative Information Agents (CIA 2002), held at the Universidad de Rey Juan Carlos in Madrid, Spain, September 18–20, 2002. It was colocated with the Third Int- national Workshop on Engineering Societies in the Agents World (ESAW 2002). Since 1997 the annual CIA workshop series has aimed to provide an open forum for all parties interested in the research and development of intelligent infor- tion agents for the Internet and Web. Each event in this renowned series attempts to capture the intrinsic interdisciplinary nature of this research area by calling for contributions from di?erent research communities, and by promoting open and informative discussions on all related topics. In keeping with its tradition, this year’s workshop featured a sequence of regular and invited talks of excellence given by leading experts in the ?elds related to information agent technology. These talks covered a broad area of topics of - terest, such as information agents for mobile computing environments as well as information gathering, exchange, management, and collaborative recommender systems. Other topics included agent interaction and communication, negot- tion strategies for purchasing relevant information, and agent-based distributed knowledge management.
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