Per citar aquest document: http://ddd.uab.cat/record/128047
An agent-based concept to analyze elite-athletes' doping behavior
Westmattelmann, Daniel (University of Münster)
Goelden, Marcel (University of Münster)
Schewe, Gerhard (University of Münster)
Sascha Hokamp (University of Hamburg)

Data: 2014
Resum: A seemingly endless series of scandals has focused increasing public attention on the issue of doping among elite athletes. But we still do not know how many elite athletes really make use of banned drugs. In addition, we recognize the literature suffers a lack of appropriate game theory models for complex social interactions related to doping. Therefore, we think that an agent-based approach may allow doping behavior patterns in professional sports to be explored and elucidated. We conceptualize an agent-based model on three interacting objectives, namely (i) elite athletes, (ii) anti-doping laboratory and (iii) anti-doping agency. The latter agency announces antidoping rules and imposes penalties; the anti-doping laboratory executes doping controls and elite athletes compete for income. In particular, we focus on presenting an agent-based concept to analyze elite athletes’ doping behavior. Using such an agentbased framework and computational simulations may lead in the future to policy recommendations for the fight against doping.
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. Creative Commons
Llengua: Anglès
Document: conferenceObject
Matèria: Doping behavior ; Elite athletes ; Computational social science ; Social simulation
Publicat a: Social Simulation Conference. Bellaterra, Cerdanyola del Vallès, 1a : 2014

Podeu consultar la compilació de les ponències presentades a Social Simulation Conference a: http://ddd.uab.cat/record/125597


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