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2015 | 6 | 249--256
Tytuł artykułu

Multi-agent Simulation of the World Found in the G. R. R. Martin's Novel "Sandkings"

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
George R. R. Martin's novel entitled Sandkings introduces tribes of ant-like creatures which, when locked in a terrarium deprived of food, fight for survival. The tribes differ in the color of their armor. However, in the novel, despite the extreme conditions, they've never attempted to kill the queens of different fractions for cannibalistic purposes. Approaching the situation from the perspective of profit-driven logic, lack of such behaviour is highly questionable. In multiple cases, attacking another Maw to eat her could improve the odds of survival in a hostile environment. To provide an initial attempt to answer the question of whether or not the queens should order an attack and try to "eat each other", we have developed a multi-agent simulation based on the novel. Through analysis of its results we hoped to prove hypothesis that with the increased hostility of environment the Sandkings would develop cannibalistic behaviours and fight until eventually only one tribe is left. (original abstract)
Słowa kluczowe
Rocznik
Tom
6
Strony
249--256
Opis fizyczny
Twórcy
  • Warsaw University of Technology
autor
  • Warsaw University of Technology
  • Warsaw University of Technology
  • Warsaw University of Technology
Bibliografia
  • Martin, G. (1981). Sandkings. New York: Pocket Books.
  • Collier, N. and North, M. (2015). Repast Java Getting Started. 1st ed. [ebook] Repast Developement Team. Available at: http://repast.sourceforge.net/docs/RepastJavaGettingStarted.pdf [Accessed 30.05.2015].
  • Repast.sourceforge.net, (2015). Repast Suite. [online] Available at: http: //repast.sourceforge.net/ [Accessed 30.05.2015].
  • Railsback, Steven F., Steven L. Lytinen, and Stephen K. Jackson. 'AgentBased Simulation Platforms: Review And Development Recommendations'.
  • Crooks, Andrew. 'An Introduction To The Repast Software Recursive Porous Agent Simulation Toolkit'. 2015. Presentation.
  • Schoonderwoerd, R., Holland, O., Bruten, J. and Rothkrantz, L. (1997). Ant-Based Load Balancing in Telecommunications Networks. Adaptive Behavior, 5(2), pp.169-207.
  • Pratt, S., Sumpter, D., Mallon, E. and Franks, N. (2005). An agentbased model of collective nest choice by the ant Temnothorax albipennis. Animal Behaviour, 70(5), pp.1023-1036.
  • Candelaria E. Sansores, Flavio Reyes, Hector F. Gómez, Juan Pavón, Luis E. CalderÃłn-Aguilera. BioMASS: a Biological Multi-Agent Simulation System. Proceedings of the Federated Conference on Computer Science and Information Systems pp. 675-682.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171423266

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