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Stackelberg evolutionary games for cancer modeling and treatment

文献类型： 会议论文

第一作者： Chiara Romano

作者： Chiara Romano 1 ; Alessandro Borri 2 ; Maria Domenica Di Benedetto 1 ;

作者机构： 1.Department of Information Engineering, Computer Science, and Mathematics, Center of Excellence for Research DEWS, University of L'Aquila,

2.CNR-IASI Biomathematics Laboratory, National Research Council of Italy,

关键词： Game theory;Stackelberg evolutionary games;Mathematical modeling;Cancer treatment

会议名称： IEEE Conference on Decision and Control

主办单位：

页码： 5722-5727

摘要： Stackelberg Evolutionary Game (SEG) theory models the interacting dynamics between a rational leader and a population of evolving followers, merging classical and evolutionary game theory. Although both methods are well-developed individually, the potential of SEG itself has not been appropriately recognized. Thus, in this paper we propose a novel eco-evolutionary model with resource mutualism and competition and we introduce a control framework based on SEGs, to steer the eco-evolutionary dynamics of followers at will. As a case study, we consider the treatment of cancer, where tumour cells are the followers that evolve in response to changes in the tumour micro-environment (and thus on available resources) and to the medical therapy, where the physician is the leader. An interesting aspect of this approach is that the objective function can be tailored according to the goal, e.g. jointly balancing tumour size, developed resistance, and toxicity of therapy, to ensure maximum quality of life for the patient. Simulations confirm the effectiveness and the potential of the proposed approach.

分类号： tp13

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