IODA: An interaction-oriented approach for multi-agent based simulations

Autonomous Agents and Multi-Agent Systems

Volumn 23, Issue 3, 2011, Pages 303-343

  Kubera, Yoann ^a   Mathieu, Philippe ^a   Picault, Sébastien ^a  

^a UNIV LILLE   (France)

Author keywords

Architecture; Design methodology; Framework; Interaction; Model; Multi agent based simulation

Indexed keywords

AGENT SIMULATION; DESIGN METHODOLOGY; EMERGENT PHENOMENON; FRAMEWORK; INTEGRATED DEVELOPMENT ENVIRONMENT; INTERACTION; MULTI-AGENT BASED SIMULATIONS; PHYSICAL INTERACTIONS; PLUG-AND-PLAY; REACTIVE AGENT; SIMULATION DESIGN;

COMPUTER SIMULATION; DESIGN; MULTI AGENT SYSTEMS; SOFTWARE AGENTS; SPECIFICATIONS; SYSTEMS ANALYSIS;

INTELLIGENT AGENTS;

EID: 79961026405     PISSN: 13872532     EISSN: 15737454     Source Type: Journal    
DOI: 10.1007/s10458-010-9164-z     Document Type: Article

References (67)

1. Anderson, J. R. (1974). Simulation: Methodology and application in agricultural economics. Review of Marketing and Agricultural Economics 42(01), 3-55.
2. Anderson, J. R., Bothell, D., Byrne, M. D., Douglass, S., Lebiere, C., & Qin, Y. (2004). An integrated theory of the mind. Psychological Review, 111(4), 1036-1060.
3. Axelrod, R. (1997). Advancing the art of simulation in the social sciences. Simulating Social Phenomena, Lecture Notes in Economics and Mathematical Systems, 456, 21-40.
4. Bellifemine, F., Poggi, A., & Rimassa, G. (1999). JADE-a FIPA-compliant agent framework. In Proceedings of the fourth international conference on the practical application of intelligent agents and multi agent technology (PAAM'99), London, pp. 97-108.
5. Bensaid, N., & Mathieu, P. (1997). MAGIQUE: A hybrid and hierarchical multi-agent architecture model. In Proceedings of the second international conference on the practical application of intelligent agents and multi agent technology (PAAM'97) (pp. 145-155).
6. Bernon, C., Camps, V., Gleizes, M. P., & Picard, G. (2005) Engineering self-adaptive multi-agent systems: The ADELFE methodology. USA: Idea Group Publishing, Chap. 7, pp. 172-202.
7. Braubach, L., Pokahr, A., & Lamersdorf, W. (2005). Jadex: A bdi agent system combining middleware and reasoning. In R. Unland, & M. K. M. Calisti (Eds.), Software agent-based applications, platforms and development kits (pp. 143-168). Basel: Birkhäuser-Verlag.
8. Bresciani, P., Perini, A., Giorgini, P., Giunchiglia, F., & Mylopoulos, J. (2004). Tropos: An agent-oriented software development methodology. Autonomous Agents and Multi-Agent Systems, 8(3), 203-236.
9. Briot, J. P., & Meurisse, T. (2007). An experience in using components to construct and compose agent behaviors for agent-based simulation. In Fernando Barros, N. G. Claudia Frydman, & B. Ziegler (Eds.), Proceedings of the international modeling and simulation multiconference (IMSM'07), The Society for Modeling & Simulation International (SCS) (pp. 207-212).
10. Brooks, R. (1986). A robust layered control system for a mobile robot. IEEE Journal of Robotics and Automation, 2(1), 14-23.
11. Busetta, P., Howden, N., Rönnquist, R., & Hodgson, A. (2000). Structuring BDI agents in functional clusters. In Proceedings of the 6th international workshop on intelligent agents VI, agent theories, architectures, and languages (ATAL'99) (pp. 277-289). London: Springer.
12. Campos, A. M., Canuto, A. M., Fernandes, J. H., & de Moura, E. C. (2004). Masim: A methodology for the development of agent-based simulations. In Proceedings of 16th European simulation symposium, Budapest, Hungary.
13. Cannata, N., Corradini, F., & Merelli, E. (2008). Multiagent modelling and simulation of carbohydrate oxidation in cell. International Journal of Modelling, Identification and Control (IJMIC), 3(1), 17-28. doi:10.1504/IJMIC.2008.018191.
14. Chella, A., Cossentino, M., Sabatucci, L., & Seidita, V. (2004). From passi to agile passi: Tailoring a design process to meet new needs. In Proceedings of the international conference on intelligent agent technology (IAT'04) (pp. 471-474), IEEE Computer Society, Los Alamitos, CA, USA.
15. Choi, D., Kaufman, M., Langley, P., Nejati, N., & Shapiro, D. (2004). An architecture for persistent reactive behavior. In Proceedings of the third international joint conference on autonomous agents and multiagent systems (AAMAS'04) (pp. 988-995), IEEE Computer Society.
16. Christley, S., Xiang, X., & Madey, G. (2004). Ontology for agent-based modeling and simulation. In Proceedings of the agent 2004 conference on social dynamics: Interaction, reflexivity and emergence, (pp. 115-125).
17. Desmeulles, G., Querrec, G., Redou, P., Kerdélo, S., Misery, L., Rodin, V., & Tisseau, J. (2006). The virtual reality applied to biology understanding: The in virtuo experimentation. Expert Systems with Applications, 30(1), 82-92. http://dx.doi.org/10.1016/j.eswa.2005-09-051.
18. Devigne, D., Mathieu, P., & Routier, J. C. (2005). Interaction-based approach for game agents. In: Y. Merkuryev, R. Zobel, E. Kerckhoffs (Eds.), Proceedings of the 19th European conference on modelling and simulation (ECMS'05) (pp. 705-714).
19. Doi, T., Tahara, Y., & Honiden, S. (2005) IOM/T: An interaction description language for multi-agent systems. In: Proceedings of the fourth international joint conference on autonomous agents and multiagent systems (AAMAS'05) (pp. 778-785) ACM, Utrecht, The Netherlands.
20. Drogoul, A., Corbara, B., & Fresneau, D. (1992). Applying ethomodelling to social organization in ants. In J. Billen (Ed.), Biology and evolution of social insects (pp. 375-383). Belgium: Leuven University Press.
21. Drogoul, A., Vanbergue, D., & Meurisse, T. (2003). Multi-agent based simulation: Where are the agents?. Lecture Notes in Computer Science, 2581, 43-49.
22. Edmonds, B. (2005). Simulation and complexity-how they can relate. In Virtual worlds of precision-computer-based simulations in the sciences and social sciences, feldmann, valerie and mühlfeld (katrin edn., pp. 5-32). Münster: Lit Verlag.
23. Edmonds, B., & Hales, D. (2003). Replication, replication and replication: Some hard lessons from model alignment. Journal of Artificial Societies and Social Simulation, 6(4), 11.
24. FIPA. (2002). Foundation for intelligent physical agents (FIPA) specification. http://www.fipa.org/.
25. Fishwick, P. A. (1995). Simulation model design and execution: Building digital worlds. Upper Saddle River, NJ, USA: Prentice Hall PTR.
26. SE Division at Fondazione Bruno Kessler. (2009). TAOM4E: Tool for agent oriented modeling. Accessed September 12, 2009, from http://sra.itc.it/tools/taom4e/.
27. Gaillard, F., Kubera, Y., Mathieu, P., & Picault, S. (2008). A reverse engineering form for multi agent systems. In A. Artikis, G. Picard, & L. Vercouter (Eds.) Proceedings of the 9th international workshop engineering societies in the agents world (ESAW'2008), Lecture Notes on Artificial Intelligence, Vol. 5485, pp. 137-153.
28. Galán, J.M., & Izquierdo, L. R. (2005). Appearances can be deceiving: Lessons learned re-implementing axelrod's evolutionary approach to norms. Journal of Artificial Societies and Social Simulation, 8(3), 2.
29. Galán, J. M., Izquierdo, L. R., Izquierdo, S. S., Santos, J. I., del Olmo, R., López-Paredes, A., & Edmonds, B. (2009). Errors and artefacts in agent-based modelling. Journal of Artificial Societies and Social Simulation 12(1):1. http://jasss.soc.surrey.ac.uk/12/1/1.html.
30. th international workshop on agent oriented software engineering (AOSE 2007), pp. 1-15.
31. Garcia-Ojeda, J. C., DeLoach S. A., Robby, (2009). agentTool III: from process definition to code generation. In AAMAS'09: Proceedings of the 8th international conference on autonomous agents and multiagent systems, international foundation for autonomous agents and multiagent systems (pp. 1393-1394), Richland, SC.
32. Georgeff, M. P., & Lansky, A. L. (1987). Reactive reasoning and planning. In Proceedings of the sixth national conference on artificial intelligence (AAAI'87) (pp. 677-682), Seattle, WA.
33. Gilbert, N., & Troitzsch, K. G. (2005). Simulation for the social scientist (2nd ed.). Maidenhead and New York: Open University Press.
34. Grimm, V., Berger, U., Bastiansen, F., Eliassen, S., Ginot, V., Giske, J., Goss-Custard, J., Grand, T., Heinz, S.K., Huse, G., Huth, A., Jepsen, J. U., Jørgensen, C., Mooij, W. M., Müller, B., Pe'er, G., Piou, C., Railsback, S. F., Robbins, A. M., Robbins, M.M., Rossmanith, E., Rüger, N., Strand, E., Souissi, S., Stillman, R. A., Vabø, R., Visser, U., & Deangelis, D. L. (2006). A standard protocol for describing individual-based and agent-based models. Ecological Modelling, 198(1-2), 115-126.
35. th international conference on autonomous agents (AGENTS'01). Montreal, Canada: ACM.
36. Huber, M. J. (1999). Jam: A bdi-theoretic mobile agent architecture. In Proceedings of the third annual conference on autonomous agents (AGENTS'99) (pp. 236-243). New York, NY: ACM.
37. Ingalls, R. G. (2001). Introduction to simulation. In WSC'01: Proceedings of the 33nd conference on Winter simulation (pp. 7-16). Washington, DC: IEEE Computer Society.
38. Janssen, M. A., Alessa, L. N., Barton, M., Bergin, S., & Lee, A. (2008). Towards a community framework for agent-based modelling. Journal of Artificial Societies and Social Simulation, 11(2), 6.
39. Jayatilleke, G. B., Padgham, L., & Winikoff, M. (2007). Evaluating a model driven development toolkit for domain experts to modify agent based systems. In Proceedings of the 7th international workshop on agent-oriented software engineering (AOSE-07) (Vol. 4405/2007, pp. 190-207). Hakodate, Japan: Springer.
40. Jennings, N. R. (1999). Agent-based computing: Promise and perils. In Proceedings of the sixteenth international joint conference on artificial intelligence (IJCAI'99) (pp. 1429-1436). San Francisco, CA: Morgan Kaufmann Publishers Inc.
41. Klügl, F., Herrler, R., & Fehler, M. (2006). Sesam: Implementation of agent-based simulation using visual programming. In Proceedings of the fifth international joint conference on autonomous agents and multiagent systems (AAMAS'06) (pp. 1439-1440). New York, NY: ACM. http://doi.acm.org/10. 1145/1160633.1160904.
42. Kubera, Y., Mathieu, P., & Picault, S. (2008). Interaction-oriented agent simulations: From theory to implementation. In Proceedings of ECAI 08, Patras, Greece.
43. Kubera, Y., Mathieu, P., & Picault, S. (2009a). How to avoid biases in reactive simulations. In Y. Demazeau, J. Pavón, J. Corchado, & J. Bajo (Eds.), Proceedings of 7th international conference on practical applications of agents and multi-agents systems (PAAMS 2009) (pp. 100-109). Advances in intelligent and soft computing. New York: Springer.
44. th international workshop engineering societies in the agents world (ESAW'2008). LNAI, Vol. 5485, pp. 217-235. New York: Springer.
45. Kubera, Y., Mathieu, P., & Picault, S. (2010). An interaction-oriented model of customer behavior for the simulation of supermarkets. In N. Cercone, & J. Huang (Eds.), Proceedings of IEEE/WIC/ACM international conference on intelligent agent technology (IAT'10). http://www.yorku.ca/wiiat10/?2.
46. Laird, J. E., Newell, A., & Rosenbloom, P. S. (1987). Soar: An architecture for general intelligence. Artificial Intelligence, 33(1), 1-64.
47. Luke, S., Cioffi-Revilla, C., Panait, L., Sullivan, K., & Balan, G. (2005). Mason: A multiagent simulation environment. Simulation, 81(7), 517-527. http://dx.doi.org/10.1177/0037549705058073.
48. Malone, T. W., & Crowston, K. (1994) The interdisciplinary study of coordination. ACM Computing Surveys (CSUR) 26(1), 87-119.
49. Mathieu, P., & Brandouy, O. (2010). A generic architecture for realistic simulations of complex financial dynamics. In: Y. Demazeau, F. Dignum, J. Corchado, & J. Bajo (Eds.), Advances in practical applications of agents and multiagent systems, 8th international conference on practical applications of agents and multi-agents systems (PAAMS' 2010). Advances in intelligent and soft computing, Vol. 70, pp. 185-197. Springer. ISBN: 978-3-642-12383-2.
50. Miles, S., Joy, M., & Luck,M. (2001). Designing agent-oriented systems by analysing agent interactions. In Agent-oriented software engineering (pp. 377-405). New York: Springer.
51. Müller, J. P., & Pischel, M. (1994). Modelling interacting agents in dynamic environments. In Proceedings of the eleventh European conference on artificial intelligence (ECAI'94) (pp. 709-713), Amsterdam, The Netherlands.
52. North, M., Tatara, E., Collier, N., & Ozik, J. (2007). Visual agent-based model development with repast simphony. In Proceedings of the agent 2007 conference on complex interaction and social emergence (pp. 173-192).
53. Odell, J., Parunak, H., & Bauer, B. (2000). Extending uml for agents. In Proceedings of the agent-oriented information systems workshop (AOIS'00), pp. 3-17.
54. Ominici, A. (2001). Soda: Societies and infrastructures in the analysis and design of agent-based systems. In Agent-oriented software engineering (Vol. 1957/2001, pp. 311-326). New York: Springer
55. Ören, T. (1987). Simulation: Taxonomy. In Systems and control encyclopedia, (pp. 4411-4414). Boston: Pergamon Press.
56. Padgham, L., Thangarajah, J., & Winikoff, M. (2005). Tool support for agent development using the prometheus methodology. In Proceedings of the fifth international conference on quality software (QSIC'05) (pp. 383-388). Washington, DC: IEEE Computer Society. http://dx.doi.org/10.1109/QSIC. 2005.66.
57. Pavón, J., & Gómez-Sanz, J. J. (2003). Agent oriented software engineering with INGENIAS, (Vol. 2691, pp. 394-403). Springer-Verlag: Prague, Czech Republic.
58. Pavon, J., Sansores, C., Gomez-Sanz, J. J., & Wang, F.-Y. (2008). Modelling and simulation of social systems with ingenias. International Journal of Agent-Oriented Software Engineering, 2(2), 196-221. http://dx.doi.org/10.1504/IJAOSE.2008.017315.
59. Robinson, S. (2006). Conceptual modeling for simulation: Issues and research requirements. In Proceedings of the winter simulation conference, 2006 (WSC'06), pp. 792-800.
60. th conference on Winter simulation (WSC'98) (pp. 121-130). Los Alamitos, CA: IEEE Computer Society Press.
61. th Winter simulation conference (WSC'05) (pp. 130-143).
62. Shannon, R. E. (1976). Simulation modeling and methodology. In Proceedings of the 76 bicentennial conference on Winter simulation (WSC'76) (pp. 9-15).
63. th Winter simulation conference (WSC'98) (pp. 7-14). Los Alamitos, CA: IEEE Computer Society Press.
64. Terna, P. (1998). Simulation tools for social scientists: Building agent based models with Swarm. Journal of Artificial Societies and Social Simulation, 1(2). http://jasss.soc.surrey.ac.uk/1/2/4.html.
65. Wilenski, U. (1999). Netlogo. http://ccl.northwestern.edu/netlogo/, Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL.
66. Winikoff, M., & Padgham, L. (2004). Developing Intelligent agent systems: A practical guide. New York, NY: Halsted Press.
67. Zambonelli, F., Jennings, N. R., & Wooldridge, M. (2003). Developing multiagent systems: The gaia methodology. ACM Transactions on Software Engineering and Methodology, 12(3), 317-370. http:// doi.acm.org/10.1145/958961.958963.