Reflexion in mathematical models of decision-making
arXiv:1801.07121 · doi:10.1080/17445760.2017.1413189
Abstract
The paper is devoted to a generalization of static and dynamic mathematical models of behavior with explicitly stated reflexive models of agents' decision-making. Reflexion is considered as agent's beliefs about nature, opponents' beliefs and opponents' decision-making principles in the framework of game theory, collective behavior theory and learning models.
This is an Accepted Manuscript of an article published by Taylor & Francis Group in the International Journal of Parallel, Emergent & Distributed Systems on 01/12/2017, available online: http://www.tandfonline.com/10.1080/17445760.2017.1413189