Reducing the gap between mobile and intelligent software agents
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Data
2001-01-01
Autores
Da Silva, P. S.
Mendes, MDJ
Título da Revista
ISSN da Revista
Título de Volume
Editor
Int Inst Informatics & Systemics
Resumo
This paper presents an approach to integrate an artificial intelligence (AI) technique, concretely rule-based processing, into mobile agents. In particular, it focuses on the aspects of designing and implementing an appropriate inference engine of small size to reduce migration costs. The main goal is combine two lines of agent research, First, the engineering oriented approach on mobile agent architectures, and, second, the AI related approach on inference engines driven by rules expressed in a restricted subset of first-order predicate logic (FOPL). In addition to size reduction, the main functions of this type of engine were isolated, generalized and implemented as dynamic components, making possible not only their migration with the agent, but also their dynamic migration and loading on demand. A set of classes for representing and exchanging knowledge between rule-based systems was also proposed.
Descrição
Palavras-chave
mobile agent, automated reasoning, forward-chaining inference, event-condition-action rules, first-order predicate logic
Como citar
World Multiconference on Systemics, Cybernetics and Informatics, Vol 1, Proceedings. Orlando: Int Inst Informatics & Systemics, p. 13-18, 2001.