Agent architecture for intelligent manufacturing systems

• Autorzy: Madejski J.
• Języki publikacji: PL

Abstrakty

EN

Purpose: Analysis is made of requirements posed by tasks of agents operating in the intelligent manufacturing systems and their resulting architecture is presented. Design/methodology/approach: Architecture of agent systems for industrial environment is presented, making it possible to generate the particular agents customised for the specific tasks, based on the automatic analysis of its required features. Findings: Extension of cellular automata approach underlying the conventional agent behaviour specification using the Fuzzy Cognitive Maps is presented in conjunction with the neural networks providing learning capability of the agents designed for the various levels of the manufacturing supervisory and execution systems. Adding reaction time specification to FCM makes it possible to analyse and design systems with the required behaviour. Research limitations/implications: Specific features of the designed agent architecture have been tested as separate mechanisms which can be merged into the final comprehensive at a later stage. Originality/value: Agent architecture is proposed for the industrial applications of single agents and their groups that can collaborate to achieve the individual and joint goals specified in reaction to changing environment conditions and into their agendas in XML format. Automatic generation of custom agent reactions models can be carried out based on a set of requirements that may be specified in the if-then rules form.

Słowa kluczowe

PL

rozmyte mapy kognitywne; metody rozproszonej sztucznej inteligencji; czynniki niezależne

EN

fuzzy cognitive maps; distributed artificial intelligence; artificial intelligence methods; autonomous agents

• Wydawca: International OCSCO World Press
• Czasopismo: Journal of Achievements in Materials and Manufacturing Engineering
• Rocznik: 2008
• Tom: Vol. 29, nr 2
• Strony: 167--170
• Opis fizyczny: Bibliogr. 13 poz., wykr.

Twórcy

autor

Madejski J.

• Division of Materials Processing Technology, Management and Computer Techniques in Materials Science, Institute of Engineering Materials and Biomaterials, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland,

Bibliografia

• [1] J. Madejski, Agents as the Building Blocks of the Responsibility-Based Manufacturing Systems, Proceedings of the International Scientific Conference "Challenges to Civil and Mechanical Engineering" Wrocław, 1997, 213-220.
• [2] J. Madejski, Structure of the Agent Based Manufacturing System, Proceedings of the 6th International Scientific Conference "Achievements in Mechanical and Materials Engineering" AMME'97, Gliwice-Wisła, 1997, 123-126.
• [3] J. Madejski, Agent design for the responsibility-based manufacturing systems, Proceedings of the 7th International Scientific Conference "Achievements in Mechanical and Materials Engineering", AMME'98, Gliwice-Zakopane, 1998, 325-328.
• [4] J. Madejski, Fuzzy logic approach to the autonomous agent task utility function evaluation, Proceedings of the 8th International Scientific Conference "Achievements in Mechanical and Materials Engineering" AMME'99, Gliwice Rydzyna-Pawłowice-Rokosowo, 1999, 395-398.
• [5] J. Madejski, The autonomous agent-based manufacturing systems architecture, Proceedings of the Scientific Conference on the Occasion of the 55th Anniversary of the Faculty of Mechanical Engineering of the Silesian University of Technology in Gliwice, M2E, Gliwice, 2000, 293-302.
• [6] J. Madejski, Agents as building blocks of responsibility-based manufacturing systems, Elsevier (ref no PROTEC 4585 - 27 June 2000).
• [7] J. Madejski, Survey of the agent-based approach to intelligent manufacturing, Journal of Achievements in Materials and Manufacturing Engineering 21/1 (2007) 67-70.
• [8] J. Madejski, Modelling of the Manufacturing System Objects Interactions, Journal of Achievements in Materials and Manufacturing Engineering 24/2 (2007) 167-170.
• [9] B. Skołud, Operational Management. Production in Small and Medium-Sized Enterprises, Silesian University of Technology Press, Gliwice, 2006 (in Polish).
• [10] F. P. M. Biemans, Manufacturing Planning and Control. A reference Model, Elsevier, Amsterdam, 1996.
• [11] C. D. Stylios, V.C. Georgopoulos, P.P. Groumpos, Introducing the Theory of Fuzzy Cognitive Maps in Distributed Systems, Proceedings of the 12th IEEE International Symposium on Intelligent Control, Istanbul, 1997, 55-60.
• [12] K.-H. Choia, D.-S. Kimb, Y.-H. Dohb, Multi-Agent-Based Task Assignment System for Virtual Enterprises, Robotics and Computer-Integrated Manufacturing 23/6 (2007) 624-629.
• [13] W. B. V. Kandasamy, F. Smarandache, Fuzzy Cognitive Map Neutrosophic Cognitive Maps, XIQUAN, Phoenix, 2003.