AGENT-BASED SIMULATION

Agent-Based Manufacturing and Control Systems: New Agile Manufacturing Solutions for Achieving Peak Performance

Volumn , Issue , 2004, Pages 119-151

  Gentile, Manuel ^a   Paolucci, Massimo ^b   Sacile, Roberto ^b  

^a CNR   (Italy)

^b UNIVERSITY OF GENOA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85137851474     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1201/9780203492666-9     Document Type: Chapter

References (34)

1. Bratley, P., Fox, B., and Schrage, L., A Guide to Simulation, Springer-Verlag, New York, 1987.
2. Banks, J., Carson, J.S., and Nelson, B.L., Discrete-Event Simulation, Prentice Hall, Upper Saddle River, NJ, 1996.
3. Baker, A.D., A survey of factory control algorithms which can be implemented in a multi-agent heterarchy: dispatching, scheduling and pull, J. Manuf. Syst., 37, 297, 1998.
4. Fujimoto, R.M., Parallel discrete event simulation, Commun. ACM, 33, 30, 1990.
5. Swain, J.J., Simulation reloaded: sixth biennial survey of discrete-event simulation software tools that empower users to imagine new systems, and study and compare alternative designs, OR/MS Today, August, 2003, available at http://www.lionhrtpub.com/orms/orms-8-03/frsurvey.html.
6. Fujimoto, R., Parallel and Distributed Simulation Systems, Wiley Interscience, New York, 2000.
7. Lamport, L., Time clocks, and the ordering of events in a distributed system, Commun. ACM, 21, 558, 1978.
8. Tropper, C., Parallel discrete-event simulation applications, J. Parallel Distributed Computing, 62, 327, 2002.
9. Davidsson, P., Multi agent based simulation: beyond social simulation, in Multi Agent Based Simulation, Moss, Scott, Scott J. Moss and Paul Davidsson, eds., Springer-Verlag LNCS series, vol. 1979, 2000.
10. Hare, M. and Deadman, P., Further toward a taxonomy of agent-based simulation models in environmental management, Math. Computers Simulation, 64, 25, 2004.
11. Luck, M., McBurney, P., and Preist, C., Agent technology: enabling next generation computing. a roadmap for agent based computing, 2003, available at http://www.agentlink.org/roadmap/index.html.
12. Davidsson, P., Agent based social simulation: a computer science view, J. Artif. Soc. Social Simulation, 5, 2002, available at http://jasss.soc.surrey. ac.uk/5/1/7.html.
13. Troitzsch, K.G., Social simulation - origins, prospects, purposes, in Simulating Social Phenomena, Conte, R., Hegselmann, R, and Terna, P., Eds, Lecture Notes in Economics and Mathematical Systems, Springer, Berlin, Heidelberg, New York, 456, 41, 1997.
14. Moyaux, T., Chaib-draa, B., and D’Amours, S., Agent-based simulation of the amplification of demand variability in a supply chain, in Proc. Agent Based Simulation 4, Montpellier, France, 166, 2003.
15. Szirbik, N., Tulba, F., and Wagner, G., Agent-based modelling and simulation of distributed business processes in supply networks, in Proc. Int. Workshop Modelling Appl. Simulation, MAS2003, 2-4 Oct. 2003, Bergeggi (I), 100, 2003.
16. Amin, M. and Ballard, D., Defining new markets for intelligent agents, IEEE IT PRO, 29, 2000.
17. Parunak, H.V.D., Savit, R., and Riolo, R., Agent-based modeling vs. equationbased modeling: a case study and users’ guide, in Proc. Workshop Multi-Agent Syst. Agent-Based Simulation, 10, 1998.
18. Wagner, G. and Tulba, F., Agent-oriented modeling and agent-based simulation, in Proc. 5th Int. Workshop Agent-Oriented Inf. Syst. (AOIS-2003), ER2003 Workshops, Springer-Verlag, LNCS, 205, 2003
19. Wagner, G., The agent-object-relationship meta-model: toward a unified view of state and behavior, Inf. Syst., 28, 475, 2003.
20. Gilbert, N. and Bankes, S., Platforms and methods for agent-based modeling, PNAS, May 14, 99, 7197, 2002.
21. Swarm, available at http://www.swarm.org/.
22. RePast, an agent based modelling toolkit for Java, available at http://repast.sourceforge.net/.
23. StarLogo, available at http://education.mit.edu/starlogo/.
24. Repenning, A., Ionnidou, A., and Zola, J., AgentSheets: end-user programmable simulations, J. Artif. Soc. Social Simulation, Vol. 3, 2000, available at http://www.soc.surrey.ac.uk/JASSS/3/3/forum/1.html.
25. SDML: a strictly declarative modelling language, available at http://sdml.cfpm.org/.
26. The DESIRE Research Programme, available at http://www.cs.vu.nl/vakgroepen/ai/projects/desire/.
27. CORMAS, Natural resources and agent-based simulations, available at http://cormas. cirad.fr/indexeng.htm.
28. Vrba, P., MAST: manufacturing agent simulation tool, EXP - Search in Innovation, 3, 106, 2003, available at http://exp.telecomitalialab.com.
29. Strader, T.J., Lin, F.R., and Shaw, M.J., Simulation of order fulfillment in divergent assembly supply chains, J. Artif. Soc. Social Simulation, 1, 1998, available at http://www.soc.surrey.ac.uk/JASSS/1/2/5.html.
30. Tobias, R. and Hofman, C., Evaluation of free Java-libraries for social-scientific agent based simulation, J. Artif. Soc. Social Simulation, 7, 2004, available at http://jasss.soc.surrey.ac.uk/7/1/6.html.
31. Gröbler, A., Stotz, M., and Schieritz, N., A software interface between system dynamics and agent-based simulations - linking Vensim® and RePast®, in Proc. 21st Int. Conf. Syst. Dynamics Soc., New York City, July 20-24 2003, available at http://www.systemdynamics.org/conf2003/proceed/PROCEED.pdf.
32. Bellifemine, F., Caire, G., Poggi, A., and Rimassa, G., JADE. A white paper, EXP - Search in Innovation, 3, 6, 2003, available at http://exp.telecomitalialab. com.
33. Bazaraa, M.S. and Shetty, C.M., Nonlinear Programming: Theory and Algorithms, John Wiley and Sons, 1979.
34. Hooke, R. and Jeeves, T.A., Direct search solution of numerical and statistical problems, J. Assoc. Computing Machinery, 8, 212, 1961.