NDLI: An Approach to Specify Knowledge in Multi-agent Systems Using Petri Nets

Content Provider	IEEE Xplore Digital Library
Author	Goncalves, E.M.N.
Copyright Year	2010
Abstract	The use of approaches based on artificial intelligence, specially agents and multi-agents systems, permits to clearly distinguish the aspects of implementation and the knowledge that gives substrate to the system. Concerning the implementation aspects, there are some traditional frameworks and languages as AUML, Gaia, and JASON. However, this technologies are not comfortable in acquiring and structuring knowledge. In this paper, it is presented a Petri net model developed to specify knowledge in agents and multi-agent systems independently of frameworks and knowledge representation formalisms. The Petri net model presented permits to map the knowledge acquired and structured in any formalism and framework used to implement a computational system. Besides that, the Petri net tool permits to analyze and validate the knowledge elicited concerning aspects as redundancy, deadlocks and conditions associated to agent tasks. The main contribution of this approach is to shift the project focus to the knowledge level of the system.
Starting Page	456
Ending Page	461
File Size	240670
Page Count	6
File Format	PDF
ISBN	9781424484843
DOI	10.1109/NSS.2010.58
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-01
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context Analytical models Multiagent systems Knowledge based systems Petri nets Petri Nets Multi-agent Systems Knowledge representation Mathematical model Knowledge Enginnering
Content Type	Text
Resource Type	Article

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