This paper proposes an agent infrastructure (Theatre) centered on Java for distributed simulations over High-Level Architecture/RunTime Infrastructure (HLA/RTI). The architecture rests on actors (agents) as the basic building blocks. Actors have a public message interface and encapsulate a state of local variables and a behavior patterned as a finite state machine. Actors interact with one another by asynchronous message passing. At the system level, theatres are used as the execution platforms for actors. Theatres naturally map on to HLA federates. Actors can migrate between theatres for load-balancing concerns, or in response to (re)configuration operations of dynamic structure systems. The paper introduces Theatre and demonstrates its application to a complex simulation model based on unmanned aerial vehicles (UAVs). The case study is an open agent-based distributed model where mobile agents follow communication patterns established at runtime.
Wooldridge, M.2002. An introduction to multi-agent systems. John Wiley & Sons, Ltd, Chichester, England.
2.
Macal, C. and M. North.2006. Tutorial on agent-based modeling and simulation part 2: How to model with agents. In Proceedings of the 2006 Winter Simulation Conference, pp. 73-83.
3.
Jang, M.-W. and G. Agha.2006. Agent framework services to reduce agent communication overhead in large-scale agent-based simulations . Simulation Modelling Practice and Theory14(6), 679-694.
4.
Logan, B. and G. Theodoropoulos .2001. The distributed simulation of multi-agent systems. In Proceedings of the IEEE , pp. 174-185.
5.
Minson, R. and G. Theodoropoulos.2008. Distributed RePast agent-based simulation with HLA. Concurrency and Computation: Practice and Experience20, 1225-1256.
6.
Lees, M., B. Logan, and G. Theodoropoulos .2007. Distributed simulation of agent-based systems with HLA. ACM Transactions on Modeling and Computer Simulation17(3), 1-25.
7.
Cicirelli, F. , A. Furfaro, L. Nigro, and F. Pupo.2007. A component-based architecture for modelling and simulation of adaptive complex systems. In Proceedings of 21th European Conference on Modelling and Simulation (ECMS 2007), pp. 156-163.
8.
Varela, C. and G. Agha.2001. Programming dynamically reconfigurable open systems with SALSA. In Proceedings of OOPSLA'01 , 20-34.
9.
Jang, M.-W. , A. Ahmed, and G. Agha.2005. Efficient agent communication in multi-agent systems. In Proceedings of SELMAS 2004, LNCS 3390, pp. 236-253. Springer .
10.
Weyns, D., H. Parunak, F. Michel, T. Holvolet, and J. Ferber.2005. Environments for multiagent systems, state-of-the-art and research challenges. In Environments for Multi-Agent Systems: First International Workshop, E4MAS 2004, LNAI 3374, pp. 1- 47. Springer-Verlag.
11.
Hewitt, C.1977. Viewing control structures as patterns of passing messages . Artificial Intelligence8(3), 323-364.
12.
Agha, G.1986. Actors: A model for concurrent computation in distributed systems. The MIT Press, Cambridge, MA, USA.
13.
Astley, M.1999. The Actor Foundry. University of Illinois , http://yangtze.cs.uiuc.edu/foundry/foundry.ps .
14.
Nigro, L. and F. Pupo.2001. Schedulability analysis of real-time actor systems using Coloured Petri Nets. In G. Agha, F. D. Cindio, and G. Rozenberg, (Eds.) Concurrent Object-Oriented Programming and Petri Nets - Advances in Petri Nets, LNCS2001, pp. 493-513. Springer, New York, NY, USA.
15.
Furfaro, A., L. Nigro, and F. Pupo.2002. ActorServer: A Java middleware for programming distributed applications over the Internet. In Proceedings of the International Network Conference (INC 2002), pp. 433-440. University of Plymouth, UK.
16.
Cicirelli, F. , A. Furfaro, and L. Nigro.2006. A distributed agent-based simulation model for large wireless sensor networks. In Proceedings of Agent-Directed Simulation (ADS'06), pp. 115- 122.
17.
Cicirelli, F., A. Furfaro, and L. Nigro.2007. Exploiting agents for modelling and simulation of coverage control protocols in large sensor networks . Journal of Systems and Software80(11), 1817- 1832. doi: 10.1016/j.jss.2007.02.015.
18.
Fujimoto, R.2000. Parallel and distributed simulation systems. John Wiley & Sons, New York, NY, USA.
19.
Beraldi, R., L. Nigro, and A. Orlando.2003. Temporal Uncertainty Time Warp: an implementation based on Java and ActorFoundry. Simulation79(10), 581-597.
20.
Cicirelli, F., A. Furfaro, and L. Nigro.2007. Distributed simulation of modular time Petri nets: an approach and a case study exploiting temporal uncertainty. Real-Time Systems35(2), 153-179.
21.
Defense Modeling and Simulation Office. HLA-RTI. http://www.dmso.mil/public/transition/hla .
22.
Kuhl, F., J. Dahmann, and R. Weatherly.2000. Creating computer simulation systems: An introduction to the High Level Architecture. Prentice Hall, Upper Saddle River, NJ, USA.
23.
Jang, M.-W., S. Reddy, P. Tosic, L. Chen, and G. Agha.2003. An actor-based simulation for studying UAV coordination. In Proceedings of the 15th European Simulation Symposium (ESS 2003), pp. 593-601. Delft, The Netherlands.
24.
Tan, G., A. Persson, and R. Ayani.2005. HLA federate migration. In Proceedings of the 38th Annual Simulation Symposium (ANSS'05) , pp. 243-250. IEEE Computer Society. doi:10.1109/ANSS.2005.25.
25.
Cai, W., Z. Yuan, M. Low , and S. Turner.2005. Federate migration in HLA-based simulation. Future Generation Computer Systems21(1), 87-95.
26.
Kratkiewicz, G., A. Fedyk, and D. Cerys.2004. Integrating a distributed agent-based simulation into an HLA federation. In Proceedings of 2004 SISO Spring Simulation Interoperability Workshop. Arlington, VA.
27.
Lu, T., C. Hsu, and C. Feng.2005. High Level Architecture with mobile data filtering agents. In Proceedings of 2005 Workshop on Compiler Techniques for High Performance Computing, pp. 83-92. Taiwan.
28.
Baumann, J., F. Hohl, K. Rothermel, and M. Straßer.1998. Mole - concepts of a mobile agent system. World Wide Web1(3), 123- 137.
29.
Hu, X. , B. Zeigler, and S. Mittal.2005. Variable structure in DEVS component-based modelling and simulation. Simulation81(2), 91-102.
30.
Posse, E. and H. Vangheluwe.2007. Kiltera: A simulation language for timed, dynamic structure systems. In Proceedings of 40th Annual Simulation Symposium (ANSS'07), pp. 293-300. doi:10.1109/ANSS.2007.25.
31.
Pitch Kunskapsutveckling AB. pRTI1516.http://www.pitch.se/prti1516/default.asp.
32.
Carriero, N. and D. Gelernter.1990. How to write parallel programs. MIT Press, Cambridge, MA, USA.
33.
Feiertag, R., J. Rho, and T. Redmond.2005. Policy migration in large agent-based systems. In Proceedings of KIMAS, pp. 103- 108.
34.
Sloman, A. and R. Poli.1996. SIM AGENT: A toolkit for exploring agent designs. In Intelligent Agents II: Agent Theories Architectures and Languages (ATAL-95), pp. 392-407. Springer-Verlag.
35.
Collier, N.RePast: A extensible framework for agent simulation. http://www.econ.iastate.edu/tesfatsi/RepastTutorial.Collier.pdf.
36.
Aydt, H., S. Turner, W. Cai, and M. Low.2008. Symbiotic simulation systems: An extended definition motivated by symbiosis in biology. In Proceedings of 22nd Workshop on Principles of Advanced and Distributed Simulation (PADS'08), pp. 109-116.
