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Rule Engines and Agent-Based Systems

Rule Engines and Agent-Based Systems

Agostino Poggi, Michele Tomaiuolo
Copyright: © 2012 |Pages: 8
ISBN13: 9781609608187|ISBN10: 1609608186|EISBN13: 9781609608194
DOI: 10.4018/978-1-60960-818-7.ch206
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MLA

Poggi, Agostino, and Michele Tomaiuolo. "Rule Engines and Agent-Based Systems." Machine Learning: Concepts, Methodologies, Tools and Applications, edited by Information Resources Management Association, IGI Global, 2012, pp. 211-218. https://doi.org/10.4018/978-1-60960-818-7.ch206

APA

Poggi, A. & Tomaiuolo, M. (2012). Rule Engines and Agent-Based Systems. In I. Management Association (Ed.), Machine Learning: Concepts, Methodologies, Tools and Applications (pp. 211-218). IGI Global. https://doi.org/10.4018/978-1-60960-818-7.ch206

Chicago

Poggi, Agostino, and Michele Tomaiuolo. "Rule Engines and Agent-Based Systems." In Machine Learning: Concepts, Methodologies, Tools and Applications, edited by Information Resources Management Association, 211-218. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-60960-818-7.ch206

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Abstract

Expert systems are successfully applied to a number of domains. Often built on generic rule-based systems, they can also exploit optimized algorithms. On the other side, being based on loosely coupled components and peer to peer infrastructures for asynchronous messaging, multi-agent systems allow code mobility, adaptability, easy of deployment and reconfiguration, thus fitting distributed and dynamic environments. Also, they have good support for domain specific ontologies, an important feature when modelling human experts’ knowledge. The possibility of obtaining the best features of both technologies is concretely demonstrated by the integration of JBoss Rules, a rule engine efficiently implementing the Rete-OO algorithm, into JADE, a FIPA-compliant multi-agent system.

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