Modeling, auto-generation and adaptation of multi-agent systems

Liang Xiao, Des Greer

Research output: Contribution to journalArticle

Abstract

We propose a lightweight approach that provides mechanisms for dynamic agent behavior at run-time. Agent collaborations are modeled in UML diagrams and agent behaviors are encoded in XML-based business rules. The combination of these captures the behavioral requirements and governs interagent and intra-agent behaviors. A CASE tool has been developed to enable the dynamic specification of agent behaviors and the generation of the agent systems. Agents get the appropriate rules in XML format and then translate and execute them at run-time. These rules are externalized and so maintenance effort is reduced, since there is no need to recode and regenerate the agent system. Rather, the system model is easily configured by users and agents will always get up-to-date rules to execute at run-time. The approach is illustrated with the aid of an e-business example and its efficacy discussed.

Original languageEnglish
Pages (from-to)219-230
Number of pages12
JournalCEUR Workshop Proceedings
Volume363
Publication statusPublished - 01 Dec 2005
Event10th International Workshop on Exploring Modeling Methods for Systems Analysis and Design, EMMSAD 2005 - Held in Conjunction with the 17th Conference on Advanced Information Systems, CAiSE 2005 - Porto, Portugal
Duration: 13 Jun 200514 Jun 2005

Keywords

  • Adaptivity
  • Agent
  • Business rule
  • E-business
  • Requirements
  • UML

ASJC Scopus subject areas

  • Computer Science(all)

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