Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

The MACODO organization model for context-driven dynamic agent organizations

The MACODO organization model for context-driven dynamic agent organizations The MACODO Organization Model for Context-Driven Dynamic Agent Organizations DANNY WEYNS, ROBRECHT HAESEVOETS, and ALEXANDER HELLEBOOGH Katholieke Universiteit, Leuven Today ™s distributed applications such as sensor networks, mobile multimedia applications, and intelligent transportation systems pose huge engineering challenges. Such systems often comprise different components that interact with each other as peers, as such forming a decentralized system. The system components and collaborations change over time, often in unanticipated ways. Multiagent systems belong to a class of decentralized systems that are known for realizing qualities such as adaptability, robustness, and scalability in such environments. A typical way to structure and manage interactions among agents is by means of organizations. Existing approaches usually endow agents with a dual responsibility: on the one hand agents have to play roles providing the associated functionality in the organization, on the other hand agents are responsible for setting up organizations and managing organization dynamics. Engineering realistic multiagent systems in which agents encapsulate this dual responsibility is a complex task. In this article, we present an organization model for context-driven dynamic agent organizations. The model de nes abstractions that support application developers to describe dynamic organizations. The organization model is part of an integrated approach, http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Autonomous and Adaptive Systems (TAAS) Association for Computing Machinery

The MACODO organization model for context-driven dynamic agent organizations

Loading next page...
 
/lp/association-for-computing-machinery/the-macodo-organization-model-for-context-driven-dynamic-agent-UtvDUaFRhj
Publisher
Association for Computing Machinery
Copyright
Copyright © 2010 by ACM Inc.
ISSN
1556-4665
DOI
10.1145/1867713.1867717
Publisher site
See Article on Publisher Site

Abstract

The MACODO Organization Model for Context-Driven Dynamic Agent Organizations DANNY WEYNS, ROBRECHT HAESEVOETS, and ALEXANDER HELLEBOOGH Katholieke Universiteit, Leuven Today ™s distributed applications such as sensor networks, mobile multimedia applications, and intelligent transportation systems pose huge engineering challenges. Such systems often comprise different components that interact with each other as peers, as such forming a decentralized system. The system components and collaborations change over time, often in unanticipated ways. Multiagent systems belong to a class of decentralized systems that are known for realizing qualities such as adaptability, robustness, and scalability in such environments. A typical way to structure and manage interactions among agents is by means of organizations. Existing approaches usually endow agents with a dual responsibility: on the one hand agents have to play roles providing the associated functionality in the organization, on the other hand agents are responsible for setting up organizations and managing organization dynamics. Engineering realistic multiagent systems in which agents encapsulate this dual responsibility is a complex task. In this article, we present an organization model for context-driven dynamic agent organizations. The model de nes abstractions that support application developers to describe dynamic organizations. The organization model is part of an integrated approach,

Journal

ACM Transactions on Autonomous and Adaptive Systems (TAAS)Association for Computing Machinery

Published: Nov 1, 2010

There are no references for this article.