TeMAS - A multi-agent system for temporally rich domains

Knowledge and Information Systems

Volumn 15, Issue 1, 2008, Pages 1-30

  Ribarić, Slobodan ^a   Hrkać, Tomislav ^a  

^a UNIVERSITY OF ZAGREB   (Croatia)

Author keywords

Knowledge representation; Multi agent system; Petri nets; Simulation; Temporal reasoning

Indexed keywords

KNOWLEDGE REPRESENTATION; OBJECT ORIENTED PROGRAMMING; PETRI NETS; SIMULATORS;

DYNAMIC SCENES; HIERARCHICAL STRUCTURES; OBJECT-ORIENTED IMPLEMENTATION; SIMULATION; TEMPORAL REASONING; THEORETICAL FOUNDATIONS;

MULTI AGENT SYSTEMS;

EID: 41549146282     PISSN: 02191377     EISSN: 02193116     Source Type: Journal    
DOI: 10.1007/s10115-006-0049-z     Document Type: Article

References (59)

1. Albers M, Jonker CM, Karami M, Treur J (2004) Agent models anddifferent user ontologies for an electronic market place. KnowlInf Syst 6(1):1-41
2. Allen JF (1983) Maintaining knowledge about temporal intervals. Commun ACM 26(11):832-843
3. Augusto JC, Simari GR (2001) Temporal defeasible reasoning. Knowl Inf Syst 3(3):287-318
4. Balan GC, Cioffi-Revilla C, Luke S, Panait L, Paus S (2003) MASON: A Java multi-agent simulation library. In: Proceedings of agent 2003 conference on challenges in social simulation, Chicago, IL3-4 October 2003
5. Barber F, Botti F, Onaindia E, Crespo A (1994) Temporal reasoningin REAKT (an environment for real-time knowledge-based systems). AiCommunications 7(3):175-202
6. Barrow HG, Tenenbaum JM (1981) Computational vision. Proc IEEE 69(5):72-579
7. Booch G, Rumbaugh J, Jacobson I (1999) The unified modeling language user guide. Addison-Wesley, Reading
8. Bruns G, Mossinger P, Polani D, Schmitt R, Spalt R, Uthman T, Weber S (2003) A simulation environment for continous virtualmulti-agent systems, user manual. http://www.informatik.uni-mainz.de/~polani/XRaptor/ XRaptor_7_3_8a/XRaptor_User_Manual-7.3.8a.pdf
9. Bulitko V, Wilkins DC (2003) Qualitative simulation of temporalconcurrent processes using time interval Petri nets. Artif Intell 144:95-124
10. Cardoso J (1999) Time fuzzy Petri nets. Fuzziness in Petri nets. Springer-Verlag, Berlin, pp 115-145
11. Collier N (2001) RePast: An extensible framework for agentsimulation. http://www.econ.iastate.edu/tesfatsi/RepastTutorial.Collier.pdf
12. Dean TL, McDermott DV (1987) Temporal data base management. Artif Intell 32:1-55
13. Decther R, Meiri I, Pearl J (1991) Temporal constraint network. Artif Intell 49:61-69
14. Dubois D, Prade H (1989) Processing fuzzy temporal knowledge. IEEETrans Syst Man Cybernet 19(4):729-744
15. Ferber J (1999) Multi-agent systems: An introduction to distributed artificial intelligence. Addison-Wesley, Reading
16. He M, Leung H (2002) Agents in e-commerce: State of the art. Knowl Inf Syst 4(3):257-282
17. Helleboogh A, Holvoet T, Weyns D (2004) Time management adaptability in multi-agent systems. In: Proceedings of the fourth symposium on adaptive agents and multi-agent systems at the AISB'04 convention, Leeds, UK, 29-30 March 2004, pp 20-29
18. Jensen K (1987) Coloured Petri nets. In: Lecture notes in computerscience, vol 254. Springer-Verlag, Berlin, pp 248-299
19. Jensen K (1997) Coloured Petri nets. Springer-Verlag, Berlin
20. Jong W-T, Shiau Y-S, Horng Y-J, Chen H-H, Chen S-M (1999) Temporal knowledge representation and reasoning techniques using time Petrinets. IEEE Trans Syst Man Cybernet B 29(4):541-545
21. Jou SH, Kao SJ (2002) Agent-based infrastructure and an application to internet information gathering. Knowl Inf Syst 4(4):80-95
22. Kahn K, Gorry GA (1977) Mechanizing temporal knowledge. ArtifIntell 9:87-108
23. Klein J (2002) BREVE: A 3D environment for the simulation of decentralized systems and artificial life. In: Proceedings of artificial life VIII, the 8th international conference on the simulation and synthesis of living systems, Wales, Sydney, Australia. The MIT Press, Cambridge, MA, pp 329-334
24. Klugl F, Puppe F (1998) The multi-agent simulation environment SeSAm. Paper presented at workshop simulation in knowledge-based systems, Paderborn, Germany. http://ki.informatik.uni-wuerzburg.de/~kluegl/pubs/ 1998/kluegl\_puppe\_SiWis98.pdf
25. Le Page C, Bousquet F (2000) CORMAS: A multiagent simulation toolkit to model natural and social dynamics at multiple scales. Paper presented at workshop the "ecology of scales", Wageningen. http://cormas.cirad.fr/pdf/cormasw.pdf
26. Lison M (2002) Deformation parameters in dynamic event recognition. In: Proceedings of the third international workshop on robot motion and control, RoMoCo '02, Bukowy, Poland. pp 325-330
27. Liu J, Tang YY (1999) Adaptive image segmentation with distributed behaviour-based agents. IEEE Trans PAMI 21(6):544-551
28. Logan B, Theodoropoulos G (2001) The distributed simulation ofmultiagent systems. Proc IEEE 89(2):174-185
29. Matarić MJ (2000) Getting humanoids to move and imitate. IEEE Intell Syst 15(4):18-24
30. Matarić MJ (2001) Learning in behavior-based multi-robot systems: policies, models and other agents. J Cogn Syst Res 2(1):81-93
31. McCharty J, Hayes PJ (1969) Some philosophical problems from the standpoint of artificial intelligence. In: Meltzer B, Michie D(eds) Machine intelligence, vol 4. Edinburgh University Press, Edinburgh, pp 463-502
32. Meimei G, Xiaoguang H, Zhiming W (2000) Linear logic as a tool for presentation and temporal reasoning of time Petri nets. In: Proceedings of the American control conference, Chicago, pp 3177-3181
33. Merlin P (1976) A methodology for the design and implementation ofcommunication protocols. IEEE Trans Commun 24(6):614-621
34. Mesarovic MD, Macko D, Takahara Y (1970) Theory of multi-level hierarchical systems. Academic Press, New York
35. Minar N, Burkhart R, Langton C, Askenazi M (1996) The swarm simulation system: A toolkit for building multi-agent simulations. Santa Fe Institute Working Paper 96-06-042
36. Murata T, Suzuki T, Shatz SM (1999) Fuzzy-timing high-level petrinets (FTHNs) for time-critical systems. In: Cardoso J, Camargo H(eds) Fuzziness in Petri nets. Springer-Verlag, Heidelberg, pp 88-114
37. Palmer SE (1999) Vision science. The MIT Press, Cambridge, MA
38. Pelavin R, Allen JF (1986) A formal logic of plans in temporallyrich domains. Proc IEEE 74(10):1364-1382
39. Peterson JL (1981) Petri net theory and modeling of systems. Prentice-Hall, Englewood Cliffs
40. Reisig W (1992) A primer in petri net design. Springer-Verlag, Berlin
41. Remagnino P, Tan T, Baker K (1998) Multi-agent vision surveillance of dynamic scenes. Image Vis Comput 16(8):529-532
42. Resnick M (1997) Turtles, termites and traffic jams: Explorations in massively parallel microworlds. The MIT Press, Cambridge, MA
43. Ribarić S (2005) Temporal knowledge representation and reasoning model for temporally rich domains. In: Lecture notes in computer science: Knowledge-based intelligent information and engineering systems, vol 3682. Springer-Verlag, Berlin Heidelberg New York, pp 430-436
44. Ribarić S, Dalbelo-Bašić B, Tomac D (2000) Object-oriented implementation of a model for fuzzy temporal reasoning. Proc Inf Process Manage Uncertain Knowl Based Syst 2:1247-1253
45. Ribarić S, Hrkać T (2003) Object-oriented simulator of multi-agent system for temporally rich domains. In: Proceedings ofthe 25th international conference on information technology interfaces, ITI 2003, Cavtat, Croatia, pp 397-402
46. Rus D (1998) Self-reconfiguring robots. IEEE Intell Syst 13(4):2-4
47. Russell SJ, Norvig P (1995) Artificial intelligence, a modern approach. Prentice-Hall, Upper Saddle River
48. Subrahmanian VS, Bonatti P, Dix J, Eiter T, Kraus S, Ozcan F, RossR (2000) Heterogeneous agent systems. MIT Press, Cambridge, MA
49. Suzuki I, Lu H (1989) Temporal petri nets and their application tomodeling and analysis of a handshake daisy chain arbiter. IEEE Trans Comput 38(5):696-704
50. Stavroulakis S, Callaghan V, Spacek L (2000) A multi-agent approach to machine vision. Paper presented at EXPO 2000: Shaping the future, Hanover, Germany. http://www.shaping-the-future.de/pdf\_www/ 051\_paper.pdf
51. Symeonidis AL, Valtos E, Seroglou S, Mitkas PA (2005) Biotope: An integrated framework for simulating distributed multiagent computational systems. IEEE Trans Syst Man Cybern A Syst Hum 35(3):420-432
52. Vincent R, Horling B, Lesser V (2001) An agent infrastructure to build and evaluate multi-agent systems: The Java agent framework and multi-agent system simulator. In: Lecture notes in artificial intelligence: Infrastructure for agents, multi-agent systems and scalable multi-agent systems, vol 1887. Springer-Verlag, Berlin Heidelberg New York, pp 102-127
53. Wang Y, Yuan B (2002) Fast method for face location and tracking by distributed behaviour based agents. IEEE Proc Vis Image Signal Process 149(3):173-178
54. Weiss G (1999) Multi-agent systems: A modern approach to distributed artificial intelligence. MIT Press, Cambridge
55. Weyns D, Holvoet T (2002) A Colored petri net for a multi-agentapplication. In: Proceedings of modeling objects, components andagents, Arhaus, Denmark, pp 121-140
56. Weyns D, Holvoet T (2004) A colored petri net for regional synchronization in situated multi-agent systems. In: Proceedings of the first international workshop on petri nets and coordination (PNC 04), Bologna, Italy, pp 65-85
57. Wooldridge M (2002) An introduction to multiagent systems. Wiley, Chichester
58. Yong T, Na T, XiaoPing Y, ZhiSheng F, Wei X (2003) An unified model of temporal knowledge and temporal data. In: Proceedings of the 8th international conference on computer-supported cooperative work in design, Xiamen, China, pp 711-713
59. Zaidi AK, Rizvi KH, Hussain SS (2003) On spatial modeling of discrete event systems using point-interval logic. In: Proceedings of the second international conference on machine learning and cybernetics, Xian, pp 1699-1704