Time Petri net-based modelling of complex adaptive agent system

Y Q Zhao
Institute of Physics (IOP)
Published 2018
Publication Date:
2018-07-15
Publisher:
Institute of Physics (IOP)
Print ISSN:
1757-8981
Electronic ISSN:
1757-899X
Topics:
Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
Published by:
_version_ 1836399005544742912
autor Y Q Zhao
beschreibung In order to depict internal mechanism of complex adaptive agent system and improve capabilities of computer-assisted modelling, a new modelling approach is presented by the combination of Time Petri Net (TPN) and multi-agent technology. In the methods, agent is viewed as basic modelling element and Petri net is used to describe the static rules of agent. Because of the TPN model combining the advantages of time Petri net and multi-agent technology, the state space explosion of complex adaptive agent system is prevented. As an example, the crane scheduling system is defined as complex adaptive agent system. The results that proposed system can complete scheduling task of the steel-making continuous casting and provide guidance for optimizing production systems and exploring operation mechanism.
citation_standardnr 6304166
datenlieferant ipn_articles
feed_id 123476
feed_publisher Institute of Physics (IOP)
feed_publisher_url http://www.iop.org/
insertion_date 2018-07-15
journaleissn 1757-899X
journalissn 1757-8981
publikationsjahr_anzeige 2018
publikationsjahr_facette 2018
publikationsjahr_intervall 7984:2015-2019
publikationsjahr_sort 2018
publisher Institute of Physics (IOP)
quelle IOP Conference Series: Materials Science and Engineering
relation http://iopscience.iop.org/1757-899X/382/3/032054
search_space articles
shingle_author_1 Y Q Zhao
shingle_author_2 Y Q Zhao
shingle_author_3 Y Q Zhao
shingle_author_4 Y Q Zhao
shingle_catch_all_1 Time Petri net-based modelling of complex adaptive agent system
In order to depict internal mechanism of complex adaptive agent system and improve capabilities of computer-assisted modelling, a new modelling approach is presented by the combination of Time Petri Net (TPN) and multi-agent technology. In the methods, agent is viewed as basic modelling element and Petri net is used to describe the static rules of agent. Because of the TPN model combining the advantages of time Petri net and multi-agent technology, the state space explosion of complex adaptive agent system is prevented. As an example, the crane scheduling system is defined as complex adaptive agent system. The results that proposed system can complete scheduling task of the steel-making continuous casting and provide guidance for optimizing production systems and exploring operation mechanism.
Y Q Zhao
Institute of Physics (IOP)
1757-8981
17578981
1757-899X
1757899X
shingle_catch_all_2 Time Petri net-based modelling of complex adaptive agent system
In order to depict internal mechanism of complex adaptive agent system and improve capabilities of computer-assisted modelling, a new modelling approach is presented by the combination of Time Petri Net (TPN) and multi-agent technology. In the methods, agent is viewed as basic modelling element and Petri net is used to describe the static rules of agent. Because of the TPN model combining the advantages of time Petri net and multi-agent technology, the state space explosion of complex adaptive agent system is prevented. As an example, the crane scheduling system is defined as complex adaptive agent system. The results that proposed system can complete scheduling task of the steel-making continuous casting and provide guidance for optimizing production systems and exploring operation mechanism.
Y Q Zhao
Institute of Physics (IOP)
1757-8981
17578981
1757-899X
1757899X
shingle_catch_all_3 Time Petri net-based modelling of complex adaptive agent system
In order to depict internal mechanism of complex adaptive agent system and improve capabilities of computer-assisted modelling, a new modelling approach is presented by the combination of Time Petri Net (TPN) and multi-agent technology. In the methods, agent is viewed as basic modelling element and Petri net is used to describe the static rules of agent. Because of the TPN model combining the advantages of time Petri net and multi-agent technology, the state space explosion of complex adaptive agent system is prevented. As an example, the crane scheduling system is defined as complex adaptive agent system. The results that proposed system can complete scheduling task of the steel-making continuous casting and provide guidance for optimizing production systems and exploring operation mechanism.
Y Q Zhao
Institute of Physics (IOP)
1757-8981
17578981
1757-899X
1757899X
shingle_catch_all_4 Time Petri net-based modelling of complex adaptive agent system
In order to depict internal mechanism of complex adaptive agent system and improve capabilities of computer-assisted modelling, a new modelling approach is presented by the combination of Time Petri Net (TPN) and multi-agent technology. In the methods, agent is viewed as basic modelling element and Petri net is used to describe the static rules of agent. Because of the TPN model combining the advantages of time Petri net and multi-agent technology, the state space explosion of complex adaptive agent system is prevented. As an example, the crane scheduling system is defined as complex adaptive agent system. The results that proposed system can complete scheduling task of the steel-making continuous casting and provide guidance for optimizing production systems and exploring operation mechanism.
Y Q Zhao
Institute of Physics (IOP)
1757-8981
17578981
1757-899X
1757899X
shingle_title_1 Time Petri net-based modelling of complex adaptive agent system
shingle_title_2 Time Petri net-based modelling of complex adaptive agent system
shingle_title_3 Time Petri net-based modelling of complex adaptive agent system
shingle_title_4 Time Petri net-based modelling of complex adaptive agent system
timestamp 2025-06-30T23:36:05.927Z
titel Time Petri net-based modelling of complex adaptive agent system
titel_suche Time Petri net-based modelling of complex adaptive agent system
topic ZL
uid ipn_articles_6304166