nach oben

Erschienen in:

2018 | OriginalPaper | Buchkapitel

Actors Based Agent Modelling and Simulation

verfasst von : Giulio Angiani, Paolo Fornacciari, Gianfranco Lombardo, Agostino Poggi, Michele Tomaiuolo

Erschienen in: Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Agent-based modeling and simulation are some powerful techniques that are widely used with success for analyzing complex and emergent phenomena in many research and application areas. Many different reasons are behind the success of such techniques, among which an important mention goes to the availability of a great variety of software tools, that ease the development of models, as well as the execution of simulations and the analysis of results. However, the agent models provided by such tools do not offer the features of the computational agents found in multi-agent systems or distributed artificial intelligence techniques. Therefore, it is difficult to use such tools to model complex systems defined by autonomous, proactive and social entities. This paper presents an actor software library, called ActoDeS, for the development of concurrent and distributed systems, and shows how it can be a suitable mean for building flexible and scalable ABMS applications.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel A Bike Sharing System Simulator

Nächstes Kapitel Agent Based Modelling and Simulation of an Auction Market for Airport Slots Allocation

Luke, S., Cioffi-Revilla, C., Panait, L., Sullivan, K., Balan, G.: MASON: a multi-agent simulation environment. Simulation 82(7), 517–527 (2005)CrossRef

Tisue, S., Wilensky, U.: Netlogo: a simple environment for modeling complexity. In: Proceedings of ICCS 2004, Boston, MA, USA, pp. 16–21 (2004)

North, M.J., Collier, N., Vos, J.: Experiences in creating three implementations of the repast agent modeling toolkit. ACM Trans. Model. Comput. Simul. 16(1), 1–25 (2006)CrossRef

Drogoul, A., Vanbergue, D., Meurisse, T.: Multi-agent based simulation: where are the agents? In: Sichman, J.S., Bousquet, F., Davidsson, P. (eds.) MABS 2002. LNCS (LNAI), vol. 2581, pp. 1–15. Springer, Heidelberg (2003). https://doi.org/10.1007/3-540-36483-8_1CrossRefMATH

De Chiara, R., Mancuso, A., Mazzeo, D., Scarano, V., Spagnuolo, C.: Bringing together efficiency and effectiveness in distributed simulations: the experience with D-MASON. Simulation 89(10), 1236–1253 (2013)CrossRef

Cicirelli, F., Furfaro, A., Giordano, A., Nigro, L.: HLA_ACTOR_REPAST: an approach to distributing repast models for high-performance simulations. Simul. Model. Pract. Theory 19(1), 283–300 (2011)CrossRef

Agha, G.A.: Actors: a model of concurrent computation in distributed systems (1986)

Kafura, D., Briot, J.P.: Actors and agents. IEEE Concurrency 6(2), 24–29 (1998)CrossRef

Jang, M.W., Agha, G.A.: Agent framework services to reduce agent communication overhead in large-scale agent-based simulations. Simul. Model. Pract. Theory 14(6), 679–694 (2006)CrossRef

10.

Mathieu P., Yann, S.: Environment updating and agent scheduling policies in agent-based simulators. In: Proceedings of ICAART, pp. 170–175 (2012)

11.

Gardner, M.: The fantastic combinations of John Conway’s new solitaire game Life. Sci. Am. 223, 120–123 (1970)CrossRef

12.

Bergenti, F., Franchi, E., Poggi, A.: Agent-based interpretations of classic network models. Comput. Math. Organ. Theory 19(2), 105–127 (2013)CrossRef

13.

Franchi, E., Poggi, A., Tomaiuolo, M.: Blogracy: a peer-to-peer social network. Int. J. Distrib. Syst. Technol. 7(2), 37–56 (2016)CrossRef

14.

Benda, M.: On optimal cooperation of knowledge sources: an empirical investigation. Technical report, Boeing Advanced Technology Center (1986)

15.

Nagel, K., Wolf, D.E., Wagner, P., Simon, P.: Two-lane traffic rules for cellular automata: a systematic approach. Phys. Rev. E 58(2), 1425–1437 (1998)CrossRef

16.

Reynolds, C.W.: Flocks, herds and schools: a distributed behavioral model. ACM SIGGRAPH Comput. Graph. 21(4), 25–34 (1987)CrossRef

17.

Alon, N., Kleitman, D.J.: Partitioning a rectangle into small perimeter rectangles. Discrete Math. 103(2), 111–119 (1992)MathSciNetCrossRef

18.

Bergenti, F., Poggi, A., Tomaiuolo, M.: An actor based software framework for scalable applications. In: Fortino, G., Di Fatta, G., Li, W., Ochoa, S., Cuzzocrea, A., Pathan, M. (eds.) IDCS 2014. LNCS, vol. 8729, pp. 26–35. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-11692-1_3CrossRef

19.

Pax, R., Pavón, J.: Agent architecture for crowd simulation in indoor environments. J. Ambient Intell. Humaniz. Comput. 8(2), 205–212 (2017)CrossRef

20.

Bergenti, F., Iotti, E., Monica, S., Poggi, A.: Agent-oriented model-driven development for JADE with the JADEL programming language. Comput. Lang. Syst. Struct. 50, 142–158 (2017)

21.

Negri, A., Poggi, A., Tomaiuolo, M., Turci, P.: Dynamic grid tasks composition and distribution through agents. Concurrency Comput. Pract. Exp. 18(8), 875–885 (2005)CrossRef

22.

Franchi, E., Poggi, A., Tomaiuolo, M.: Social media for online collaboration in firms and organizations. Int. J. Inf. Syst. Model. Des. 7(1), 18–31 (2016)CrossRef

23.

Bergenti, B., Poggi, A.: An agent-based approach to manage negotiation protocols in flexible CSCW systems: In: Proceedings of 4th International Conference on Autonomous Agents, pp. 267–268 (2000)

24.

Poggi, A., Tomaiuolo, M., Vitaglione, G.: A security infrastructure for trust management in multi-agent systems. In: Falcone, R., Barber, S., Sabater-Mir, J., Singh, Munindar P. (eds.) TRUST 2003-2004. LNCS (LNAI), vol. 3577, pp. 162–179. Springer, Heidelberg (2005). https://doi.org/10.1007/11532095_10CrossRef

Titel: Actors Based Agent Modelling and Simulation
verfasst von: Giulio Angiani
Paolo Fornacciari
Gianfranco Lombardo
Agostino Poggi
Michele Tomaiuolo
Verlag: Springer International Publishing
Buch: Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection
Print ISBN: 978-3-319-94778-5

Electronic ISBN: 978-3-319-94779-2

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-94779-2_38

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner