A novel scheme for simulating networked agent systems is presented. In this approach, the system is composed of identical communicating agents, which have multi-role capabilities in such a manner that they can perform diverse tasks, according to a given execution context. The agent’s behavior is modeled using a timed hybrid Petri net (THPN) whose evolution, valid for all the agents, is computed off-line using Matlab. The agents are interconnected and simulated in a Java platform using the JADE middle-ware.
IglesiasCAGonzálezJCVelascoJR. MIX: A general purpose multiagent architecture. In: WooldridgeMJMüllerJTambeM (eds.) Intelligent agents II agent theories, architectures, and languages 1037. Heidelberg: Springer Berlin, 1996, pp. 251–266.
2.
FregeneKKennedyD. HICA: A framework for distributed multiagent control. In: Proceedings of IASTED International Conference on Intelligent Systems and Control2001, pp. 187–192.
3.
OviedoDRomero-TerneroMHernándezMet al. Architecture for multiagent-based control systems. In: de LeonFde CarvalhoAPRodríguez-GonzálezSet al. (eds.) Distributed computing and artificial intelligence. Advances in intelligent and soft computing, vol 79, 2010. Berlin: Springer.
4.
FerberJMüllerJ-P. Influences and reaction: A model of situated multiagent systems. In: TokoroM (ed) Second International Conference on Multi-Agent Systems (ICMAS-96). Nara: AAAI Press, 1996, pp. 72–79.
5.
WooldridgeM. An introduction to multiagent systems. Second ed. London: Wiley Publishing, 2009.
6.
GhomriLAllaH. Modeling and analysis using hybrid Petri nets. Nonlinear Anal Hybrid Syst2007; 1: 141–153.
7.
DavidRAllaH. Discrete, continuous, and hybrid Petri nets. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010.
8.
HerajyMHeinerM. Hybrid Petri nets for modelling of hybrid biochemical interactions. In: proceedings of 17th German workshop on algorithms and tools for Petri nets (AWPN 2010), Cottbus, Germany, 7–8 October 2010, pp. 51–65. CEUR.
9.
HerajyMSchwarickMH. Hybrid Petri nets for modelling the eukaryotic cell cycle. In: KoutnyMvan der AalstWMPYakovlevA (eds) Transactions on Petri nets and other models of concurrency VIII. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013, pp. 123–141.
10.
ČapkovičF. Modelling travel routes in transport systems by means of timed and hybrid Petri nets. In: JezicGKusekMLovrekIet al. (eds) Agent and multi-agent systems: Technologies and applications. Cham: Springer International Publishing, 2014, pp. 97–106.
11.
Gudiño-MendozaBLopez-MelladoEAllaH. Modeling and simulation of water distribution systems using timed hybrid Petri nets. Simulation2011; 88: 329–347.
12.
LittleSWalterDSeegmillerNet al. Verification of analog and mixed-signal circuits using timed hybrid Petri nets. In: WangF (ed) Automated technology for verification and analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004, pp. 426–440.
13.
Gudiño-MendozaBLópez-MelladoEAllaH. A linear characterization of the switching dynamic behavior of timed continuous Petri nets with structural conflicts. Nonlinear Anal Hybrid Syst2016; 19: 38–59.
14.
Gudiño-MendozaBLopez-MelladoE. Modelling networked agents behaviour using timed hybrid Petri nets. Procedia Technol 3rd Iberoam Conf Electron Eng Comput Sci2013; 7: 289–296.
15.
Gudiño-MendozaBLopez-MelladoE. A modeling framework for developing networked agents applications. In: 2011 8th International Conference on Electrical Engineering, Computing Science and Automatic Control. Piscataway, NJ: IEEE, 2011, pp. 1–6.
16.
DavidRAllaH. On hybrid Petri nets. Discret Event Dyn Syst2001; 11: 9–40.
17.
JúlvezJMahuleaCVázquezC-R. SimHPN: A MATLAB toolbox for simulation, analysis and design with hybrid Petri nets. Nonlinear Anal Hybrid Syst2012; 6: 806–817.
18.
SessegoFGiuaASeatzuC. HYPENS: A MATLAB tool for timed discrete, continuous and hybrid Petri nets. In: Proceedings of the 29th international conference on Applications and Theory of Petri Nets. Berlin: Springer-Verlag, 2008, pp. 419–428.
NegenbornRRSchutterBDHellendoornH. Multi-agent model predictive control for transportation networks with continuous and discrete elements. Tech Rep 06014 Delft Center for Systems and Control Delft University of Technology Delft, 2006.
26.
PehntMCamesMFischerCet al. Micro cogeneration - towards decentralized energy systems. 1st ed. Berlin Heidelberg: Springer-Verlag, 2006, p. 346.
