Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
NATYASASTRA: A Dramatic Game for the Self-Regulation of Social Exchange Processes in MAS Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

KILT: A Modelling Approach Based on Participatory Agent-Based Simulation of Stylized Socio-Ecosystems to Stimulate Social Learning with Local Stakeholders

verfasst von : Christophe Le Page, Arthur Perrotton

Erschienen in: Multi-Agent Based Simulation XVIII

Verlag: Springer International Publishing

Einloggen

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

search-config
loading …

Abstract

A new approach is introduced under the slogan « Keep It a Learning Tool » (KILT) to emphasize the crucial need to make the purpose of the modelling process explicit when choosing the degree of complicatedness of an agent-based simulation model. We suggest that a co-design approach driven by early-stage and interactive simulation of empirical agent-based models representing stylized socio-ecosystems stimulates collective learning and, as a result, may promote the emergence of cooperative interactions among local stakeholders.

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 Schumpeterian Competition, Technology Space, and Patents
Nächstes Kapitel Multi-agency Problem in Financial Markets
Fußnoten
Literatur
1.
Crookall, D., Martin, A., Saunders, D., Coote, A.: Human and computer involvement in simulation. Simul. Gaming 17, 345–375 (1986)
2.
Bousquet, F., Barreteau, O., D’Aquino, P., Etienne, M., Boissau, S., Aubert, S., Le Page, C., Babin, D., Castella, J.-C.: Multi-agent systems and role games: collective learning processes for ecosystem management. In: Janssen, M.A. (ed.) Complexity and Ecosystem Management. The Theory and Practice of Multi-agent Systems, pp. 248–285. Edward Elgar Publishing, Cheltenham (2002)
3.
Barreteau, O., Le Page, C., Perez, P.: Contribution of simulation and gaming to natural resource management issues: an introduction. Simul. Gaming 38, 185–194 (2007)CrossRef
4.
Barreteau, O., Le Page, C., D’Aquino, P.: Role-playing games, models and negotiation processes. J. Artif. Soc. Soc. Simul. 6(2), 10 (2003)
5.
Barreteau, O.: The joint use of role-playing games and models regarding negotiation processes: characterization of associations. J. Artif. Soc. Soc. Simul. 6(2), 3 (2003)
6.
Le Page, C., Abrami, G., Barreteau, O., Becu, N., Bommel, P., Botta, A., Dray, A., Monteil, C., Souchère, V.: Models for sharing representations. In: Etienne, M. (ed.) Companion modelling. A participatory approach to support sustainable development, pp. 69–96. Quæ, Versailles (2011)
7.
Berland, M., Rand, W.: Participatory simulation as a tool for agent-based simulation. In: Icaart 2009: Proceedings of the International Conference on Agents and Artificial Intelligence, pp. 553–557 (2009)
8.
Guyot, P., Honiden, S.: Agent-based participatory simulations: merging multi-agent systems and role-playing games. J. Artif. Soc. Soc. Simul. 9(4), 8 (2006)
9.
Guyot, P., Drogoul, A., Honiden, S.: Power and negotiation: lessons from agent-based participatory simulations. In: Fifth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-2006), pp. 27–33 (2006)
10.
Wilensky, U., Stroup, W.: Learning through participatory simulations: network-based design for systems learning in classrooms. In: Proceedings of the Computer Supported Collaborative Learning Conference (CSCL 1999), pp. 667–676. Lawrence Erlbaum Associates, Mahwah (1999)
11.
Wilensky, U., Stroup, W.: NetLogo HubNet Gridlock HubNet model. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL (1999)
12.
Colella, V.: Participatory simulations: building collaborative understanding through immersive dynamic modeling. J. Learn. Sci. 9, 471–500 (2000)CrossRef
13.
Boissau, S., Lan Anh, H., Castella, J.C.: The SAMBA role play game in Northern Vietnam. Mt. Res. Dev. 24, 101–105 (2004)CrossRef
14.
Castella, J.C., Trung, T.H., Boissau, S.: Participatory simulation of land-use changes in the Northern Mountains of Vietnam: the combined use of an agent-based model, a role-playing game, and a geographic information system. Ecol. Soc. 10(1), 27 (2005)CrossRef
15.
Le Page, C., Dray, A., Perez, P., Garcia, C.: Exploring how knowledge and communication influence natural resources management with REHAB. Simul. Gaming 47, 257–284 (2016)CrossRef
16.
Mathevet, R., Le Page, C., Etienne, M., Lefebvre, G., Poulin, B., Gigot, G., Proréol, S., Mauchamp, A.: ButorStar: a role-playing game for collective awareness of reedbed wise use. Simul. Gaming 38, 233–262 (2007)CrossRef
17.
Etienne, M.: SYLVOPAST a multiple target role-playing game to assess negotiation processes in silvopastoral management planning. J. Artif. Soc. Soc. Simul. 6(2), 5 (2003)
18.
Rates, C.A., Mulvey, B.K., Feldon, D.F.: Promoting conceptual change for complex systems understanding: outcomes of an agent-based participatory simulation. J. Sci. Educ. Technol. 25(4), 610–627 (2016)CrossRef
19.
Becu, N., Frascaria-Lacoste, N., Latune, J.: Distributed asymmetric simulation—enhancing participatory simulation using the concept of habitus. In: The Shift from Teaching to Learning: Individual, Collective and Organizational Learning Through Gaming Simulation, pp. 75–85 (2014)
20.
21.
Crooks, A.: Agent-based models and geographical information systems. In: Brunsdon, C., Singleton, A. (eds.) Geocomputation: A Practical Primer, pp. 63–77. SAGE, London (2015)
22.
Ligtenberg, A., Bregt, A.K., Van Lammeren, R.: Multi-actor-based land use modelling: spatial planning using agents. Landscape Urban Plan. 56, 21–33 (2001)CrossRef
23.
Gimblett, H.R.: Integrating Geographic Information Systems and Agent-based Modeling Techniques for Simulating Social and Ecological Processes. Oxford University Press, Oxford (2002)
24.
Brown, D.G., Riolo, R., Robinson, D.T., North, M., Rand, W.: Spatial process and data models: toward integration of agent-based models and GIS. J. Geogr. Syst. 7, 25–47 (2005)CrossRef
25.
Taillandier, P., Vo, D.-A., Amouroux, E., Drogoul, A.: GAMA: a simulation platform that integrates geographical information data, agent-based modeling and multi-scale control. In: Desai, N., Liu, A., Winikoff, M. (eds.) PRIMA 2010. LNCS (LNAI), vol. 7057, pp. 242–258. Springer, Heidelberg (2012). https://​doi.​org/​10.​1007/​978-3-642-25920-3_​17CrossRef
26.
Langlois, P., Blanpain, B., Daudé, E.: MAGéo, une plateforme de modélisation et de simulation multi-agent pour les sciences humaines. Cybergeo Eur. J. Geogr. (2015). [In line] Systèmes, Modélisation, Géostatistiques, document 741, uploaded on 02 October 2015. https://​doi.​org/​10.​4000/​cybergeo.​27236
27.
Schlüter, M., McAllister, R.R.J., Arlinghaus, R., Bunnefeld, N., Eisenack, K., Hölker, F., Milner-Gulland, E.J., Müller, B., Nicholson, E., Quaas, M., Stöven, M.: New horizons for managing the environment: a review of coupled social-ecological systems modeling. Nat. Res. Model. 25, 219–272 (2012)MathSciNetCrossRef
28.
Mathevet, R., Le Page, C., Etienne, M., Poulin, B., Lefebvre, G., Cazin, F., Ruffray, X.: Des roselières et des hommes. ButorStar: un jeu de rôles pour l’aide à la gestion collective. Rev. Int. Géomatique 18, 375–395 (2008)CrossRef
29.
Gourmelon, F., Chlous-Ducharme, F., Kerbiriou, C., Rouan, M., Bioret, F.: Role-playing game developed from a modelling processRole-playing game developed from a modelling process: A relevant participatory tool for sustainable development? A co-construction experiment in an insular biosphere reserve. Land Use Policy 32, 96–107 (2013)CrossRef
30.
Gourmelon, F., Rouan, M., Lefevre, J.-F., Rognant, A.: Role-playing game and learning for young people about sustainable development stakes: an experiment in transferring and adapting interdisciplinary scientific knowledge. J. Artif. Soc. Soc. Simul. 14(4), 21 (2011)CrossRef
31.
Ören, T.I.: Uses of simulation. In: Sokolowski, J.A., Banks, C.M. (eds.) Principles of Modeling and Simulation, pp. 153–179. Wiley, Hoboken (2008)
32.
Sun, Z., Lorscheid, I., Millington, J.D., Lauf, S., Magliocca, N.R., Groeneveld, J., Balbi, S., Nolzen, H., Müller, B., Schulze, J., Buchmann, C.M.: Simple or complicated agent-based models? A complicated issue. Environ. Model Softw. 86, 56–67 (2016)CrossRef
33.
Lusiana, B., van Noordwijk, M., Suyamto, D., Mulia, R., Joshi, L., Cadisch, G.: Users’ perspectives on validity of a simulation model for natural resource management. Int. J. Agric. Sustain. 9, 364–378 (2011)
34.
35.
Grimm, V., Revilla, E., Berger, U., Jeltsch, F., Mooij, W.M., Railsback, S.F., Thulke, H.-H., Weiner, J., Wiegand, T., DeAngelis, D.L.: Pattern-oriented modeling of agent-based complex systems: lessons from ecology. Science 310, 987–991 (2005)CrossRef
36.
37.
Kilvington, M.J.: Building capacity for social learning in environmental management, vol. Ph.D. Lincoln University, Canterbury, New Zealand (2010)
38.
Reed, M., Evely, A., Cundill, G., Fazey, I., Glass, J., Laing, A., Newig, J., Parrish, B., Prell, C., Raymond, C.: What is social learning? Ecol. Soc. 15(4), r1 (2010)CrossRef
39.
Habermas, J.: The Theory of Communicative Action, vol. I. Beacon, Boston (1984)
40.
41.
Bouwen, R., Taillieu, T.: Multi-party collaboration as social learning for interdependence: developing relational knowing for sustainable natural resource management. J. Community Appl. Soc. Psychol. 14, 137–153 (2004)CrossRef
42.
Perrotton, A., de Garine Wichatitsky, M., Valls-Fox, H., Le Page, C.: My cattle and your park: co-designing a role-playing game with rural communities to promote multi-stakeholder dialogue at the edge of protected areas. Ecol. Soc. 22(1), 35 (2017)CrossRef
43.
Hardy, P.-Y., Souchère, V., Dray, A., David, M., Sabatier, R., Kernéis, E.: Individual vs collective in public policy design, a cooperation example in the Marais Poitevin region. In: Sauvage, S., Sánchez-Pérez, J.M., Rizzoli, A.E. (eds.) 8th International Congress on Environmental Modelling and Software, Toulouse, France (2016)
44.
Bommel, P., Bonnet, M.-P., Coudel, E., Haentjens, E., Kraus, C.N., Melo, G., Nasuti, S., Le Page, C.: Livelihoods of local communities in an Amazonian floodplain coping with global changes. From role-playing games to hybrid simulations to involve local stakeholders in participatory foresight study at territorial level. In: 8th International Congress on Environmental Modelling and Software, pp. 1140–1147 (2016)
45.
Barnaud, C., Van Paassen, A.: Equity, power games, and legitimacy: dilemmas of participatory natural resource management. Ecol. Soc. 18(2), 21 (2013)CrossRef
46.
Druckman, D., Ebner, N.: Onstage or behind the scenes? Relative learning benefits of simulation role-play and design. Simul. Gaming 39, 465–497 (2008)CrossRef
47.
Muro, M., Jeffrey, P.: A critical review of the theory and application of social learning in participatory natural resource management processes. J. Environ. Plan. Manag. 51, 325–344 (2008)CrossRef
48.
Scholz, G.: How participatory methods facilitate social learning in natural resource management. An exploration of group interaction using interdisciplinary syntheses and agent-based modeling. Osnabrück, Germany (2016)
49.
Vennix, J.A.M.: Group Model Building: Facilitating Team Learning Using System Dynamics. Wiley, Chichester (1996)
50.
Mathevet, R., Etienne, M., Lynam, T., Calvet, C.: Water management in the Camargue Biosphere Reserve: insights from comparative mental models analysis. Ecol. Soc. 16(1), 43 (2011)CrossRef
51.
Scholz, G., Austermann, M., Kaldrack, K., Pahl-Wostl, C.: Evaluating group model building exercises: a method for comparing externalized mental models and group models. Syst. Dyn. Rev. 31, 28–45 (2015)CrossRef
52.
Black, L.J.: When visuals are boundary objects in system dynamics work. Syst. Dyn. Rev. 29, 70–86 (2013)CrossRef
53.
Black, L.J., Andersen, D.F.: Using visual representations as boundary objects to resolve conflict in collaborative model-building approaches. Syst. Res. Behav. Sci. 29, 194–208 (2012)CrossRef
54.
Wilensky, U., Papert, S.: Restructurations: reformulations of knowledge disciplines through new representational forms. In: Constructionism 2010, Paris (2010)
55.
Schlüter, M., Müller, B., Frank, K.: How to use models to improve analysis and governance of social-ecological systems-the reference frame MORE (2013)
56.
Schusler, T.M., Decker, D.J., Pfeffer, M.J.: Social learning for collaborative natural resource management. Soc. Nat. Res. 16, 309–326 (2003)CrossRef
57.
Brugnach, M.: From prediction to learning: the implications of changing the purpose of the modelling activity. In: Proceedings of the iEMSs Fourth Biennial Meeting: International Congress on Environmental Modelling and Software (iEMSs 2010). International Environmental Modelling and Software Society, pp. 547–553 (2010)
58.
de Sartre, X.A., Petit, O.: L’interdisciplinarité comme méthode de compréhension des interactions entre natures et sociétés. In: Hubert, B., Mathieu, N. (eds.) Interdisciplinarités entre Natures et Sociétés, pp. 367–386. P.I.E. Peter Lang, Bruxelles (2016)
Metadaten
Titel
KILT: A Modelling Approach Based on Participatory Agent-Based Simulation of Stylized Socio-Ecosystems to Stimulate Social Learning with Local Stakeholders
verfasst von
Christophe Le Page
Arthur Perrotton
Copyright-Jahr
2018
Buch
Multi-Agent Based Simulation XVIII

Print ISBN: 978-3-319-91586-9

Electronic ISBN: 978-3-319-91587-6

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-91587-6_11