Developing multiagent systems: The Gaia methodology Export

@article{citeulike:365341, abstract = {Systems composed of interacting autonomous agents offer a promising software engineering approach for developing applications in complex domains. However, this multiagent system paradigm introduces a number of new abstractions and design/development issues when compared with more traditional approaches to software development. Accordingly, new analysis and design methodologies, as well as new tools, are needed to effectively engineer such systems. Against this background, the contribution of this article is twofold. First, we synthesize and clarify the key abstractions of agent-based computing as they pertain to agent-oriented software engineering. In particular, we argue that a multiagent system can naturally be viewed and architected as a computational organization , and we identify the appropriate organizational abstractions that are central to the analysis and design of such systems. Second, we detail and extend the Gaia methodology for the analysis and design of multiagent systems. Gaia exploits the aforementioned organizational abstractions to provide clear guidelines for the analysis and design of complex and open software systems. Two representative case studies are introduced to exemplify Gaia's concepts and to show its use and effectiveness in different types of multiagent system.}, address = {New York, NY, USA}, author = {Zambonelli, Franco and Jennings, Nicholas R. and Wooldridge, Michael}, citeulike-article-id = {365341}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=958963}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/958961.958963}, doi = {10.1145/958961.958963}, issn = {1049-331X}, journal = {ACM Trans. Softw. Eng. Methodol.}, keywords = {agent, agent\_based}, month = {July}, number = {3}, pages = {317--370}, posted-at = {2008-11-29 09:00:12}, priority = {2}, publisher = {ACM}, title = {Developing multiagent systems: The Gaia methodology}, url = {http://dx.doi.org/10.1145/958961.958963}, volume = {12}, year = {2003} }

TY - JOUR ID - citeulike:365341 L3 - citeulike-article-id:365341 N2 - Systems composed of interacting autonomous agents offer a promising software engineering approach for developing applications in complex domains. However, this multiagent system paradigm introduces a number of new abstractions and design/development issues when compared with more traditional approaches to software development. Accordingly, new analysis and design methodologies, as well as new tools, are needed to effectively engineer such systems. Against this background, the contribution of this article is twofold. First, we synthesize and clarify the key abstractions of agent-based computing as they pertain to agent-oriented software engineering. In particular, we argue that a multiagent system can naturally be viewed and architected as a computational organization , and we identify the appropriate organizational abstractions that are central to the analysis and design of such systems. Second, we detail and extend the Gaia methodology for the analysis and design of multiagent systems. Gaia exploits the aforementioned organizational abstractions to provide clear guidelines for the analysis and design of complex and open software systems. Two representative case studies are introduced to exemplify Gaia's concepts and to show its use and effectiveness in different types of multiagent system. IS - 3 JF - ACM Trans. Softw. Eng. Methodol. SN - 1049-331X AD - New York, NY, USA EP - 370 TI - Developing multiagent systems: The Gaia methodology PB - ACM VL - 12 SP - 317 KW - agent KW - agent_based AU - Zambonelli, Franco AU - Jennings, Nicholas AU - Wooldridge, Michael PY - 2003/07// UR - http://dx.doi.org/10.1145/958961.958963 ER -