Developing coherent multiagent systems using jafmas
D Chauhan, AD Baker - … on Multi Agent Systems (Cat. No …, 1998 - ieeexplore.ieee.org
D Chauhan, AD Baker
Proceedings International Conference on Multi Agent Systems (Cat …, 1998•ieeexplore.ieee.orgThe Java-based Agent Framework for Multi-Agent Systems (JAFMAS) provides a generic
methodology for developing speech-act based multiagent systems (MAS) along with a set of
classes to support implementing these agents in Java. The methodology follows five
stages:(i) agent identification,(ii) definition of each agent's conversations,(iii) determining the
rules governing each agent's conversations,(iv) analyzing the coherency between all the
conversations in the system, and (v) implementation. JAFMAS provides communication …
methodology for developing speech-act based multiagent systems (MAS) along with a set of
classes to support implementing these agents in Java. The methodology follows five
stages:(i) agent identification,(ii) definition of each agent's conversations,(iii) determining the
rules governing each agent's conversations,(iv) analyzing the coherency between all the
conversations in the system, and (v) implementation. JAFMAS provides communication …
The Java-based Agent Framework for Multi-Agent Systems (JAFMAS) provides a generic methodology for developing speech-act based multiagent systems (MAS) along with a set of classes to support implementing these agents in Java. The methodology follows five stages: (i) agent identification, (ii) definition of each agent's conversations, (iii) determining the rules governing each agent's conversations, (iv) analyzing the coherency between all the conversations in the system, and (v) implementation. JAFMAS provides communication, linguistic and coordination support through sixteen Java classes. Communication support is provided for both directed and subject-based broadcast communication. Linguistic support is provided for speech-act (e.g. KQML) based communication languages. Coordination support comes from conceptualizing agent plans and their coordination as rule-based conversations represented by automata models.
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