NDLI: Towards an engineering of multi-agent eco-systems

Content Provider	IEEE Xplore Digital Library
Author	Khan, A.B. Matskin, M.
Copyright Year	2010
Description	Author affiliation: Department of Computer Science (IDI), Norwegian University of Science and Technology (NTNU), Trondheim, Norway and The Royal Institute of Technology (KTH) Stockholm, Sweden (Matskin, M.) \|\| Department of Computer and Information Science (IDI), Norwegian University of Science and Technology (NTNU), Trondheim, Norway (Khan, A.B.)
Abstract	Different approaches for engineering multi-agent systems have been proposed over time. However, there is a lack of attention towards the social aspects of multi-agent systems. In this paper we present an approach for engineering multi-agent systems, which considers multi-agent systems as digital ecologies. Different agent ecologies can work together and act as digital ecosystem. In such ecosystem the social aspects of the agents are well defined and all the subcomponents of the multi-agent system work together to achieve a fine integration of the whole ecosystem. Instead of focusing on internal model of software agents our methodology attempts to capture the dynamic and social behaviors of agents by focusing on the cooperation, coordination, negotiation and management attributes of the system. From implementation point of view, the proposed engineering methodology is grounded in our multi-agent framework and the concepts developed using this methodology can be mapped to implementation easily. The framework provides support for integration of web-services and uses peer-to-peer approach for resource discovering.
Starting Page	340
Ending Page	345
File Size	1120706
Page Count	6
File Format	PDF
ISBN	9781424455515
ISSN	21504938
e-ISBN	9781424455539
DOI	10.1109/DEST.2010.5610625
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-13
Publisher Place	United Arab Emirates
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Services Multiagent systems Biological system modeling Peer to peer computing Ecosystems Software Engineering Ecosystem Software agents Ecology AGORA Business Multi-Agent
Content Type	Text
Resource Type	Article

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