Multi-agent systems : a Petri net with objects based approach

Chainbi, Walid

doi:10.1109/iat.2004.1342988

Cited by 4 publications

(4 citation statements)

References 5 publications

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“…Modeling features in TOPN support describing and analyzing dynamic systems such as MAS and CMRS. Recently, some attempts have been conducted on modeling MAS by means of OPN [17].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Timed Agent Based Petri Nets for Modeling Cooperative Multi-Robot Systems

Huang¹,

Xu²,

Jia³

2009

IJCNS

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A cooperative multi-robot system (CMRS) modeling method called fuzzy timed agent based Petri nets (FTAPN) is proposed in this paper, which has been extended from fuzzy timed object-oriented Petri net (FTOPN). The proposed FTAPN can be used to model and illustrate both the structural and dynamic aspects of CMRS, which is a typical multi-agent system (MAS). At the same time, supervised learning is supported in FTAPN. As a special type of high-level object, agent is introduced into FTAPN, which is used as a common modeling object in its model. The proposed FTAPN can not only be used to model CMRS and represent system aging effect, but also be refined into the object-oriented implementation easily. At the same time, it can also be regarded as a conceptual and practical artificial intelligence (AI) tool for multi-agent systems (MAS) into the mainstream practice of the software development

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“…Modeling features in TOPN support describing and analyzing dynamic systems such as MAS and CMRS. Recently, some attempts have been conducted on modeling MAS by means of OPN [17].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Timed Agent Based Petri Nets for Modeling Cooperative Multi-Robot Systems

Huang¹,

Xu²,

Jia³

2009

IJCNS

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“…For artificial intelligence, it is also a kind of effort in producing a reasonable set of conceptual and practical tools, which could promote the integration of such a vast amount of research findings into the mainstream practice of software development. Previously, OBCS [3] have been presented to be easily refined into implementation. But its models can not support all the OO concepts and can not be analyzed like those in Petri nets.…”

Section: Discussionmentioning

confidence: 99%

“…Characterized as autonomy, situatedness and sociality, multi-agent systems (MAS) have recently emerged as a powerful paradigm for designing and developing software systems [1,2] in both industry and academia. Currently, most of MAS are described by logical models [1], but they are difficult to be refined into exact implementations [3]. These years, several methods have been proposed to describe the MAS architecture, such as Shoham's AGENT0 [4], METATEM [5] and TAO [6].…”

Section: Introductionmentioning

confidence: 99%

“…These years, several methods have been proposed to describe the MAS architecture, such as Shoham's AGENT0 [4], METATEM [5] and TAO [6]. On the base of Petri nets and objects, Object Control Structure (OBCS) [3] and Object Petri net (OPN) [7] as new formalism methods have been proposed. But in OBCS models, only the static knowledge can be represented and OPN is difficult to describe actual large-scale complex MAS.…”

Section: Introductionmentioning

confidence: 99%

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A Fuzzy Timed Object-Oriented Petri Net for Multi-Agent Systems

Jia

Lecture Notes in Computer Science

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In this paper, a multi-agent system (MAS) modeling method called fuzzy timed object-oriented Petri nets (FTOPN) is proposed. FTO-PN has extended Petri nets (PN) supporting object-oriented modeling and temporal fuzzy learning based on timed hierarchical objectoriented Petri net (TOPN) and fuzzy timed Petri net (FTPN). Our focus is the adaptation according to TOPN concepts of cooperation objects for supporting synchronous and asynchronous communications and the temporal fuzzy learning proposed in FTPN. These two diagrams have been chosen because they are the most commonly used in modeling MAS and describing agent learning and reasoning ability. That is to say, they can be used to model and illustrate both the structural and dynamic aspects of MAS. Not only the proposed FTOPN can be used to model complex MAS, but also FTOPN model can be refined into the object-oriented implementation easily. It has bridged the gap between the formal modeling and the system refinement, which can overcome the development problems in agent-oriented software engineering. At the same time, it also can be regarded as a conceptual and practical artificial intelligence (AI) tool for the integration of MAS into the mainstream practice of software development.

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