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Abhimanyu Khan Profile


Abhimanyu Khan's research lies primarily in the applications of evolutionary game theory. Evolutionary game theory examines the resulting long run outcome when decision making units use simple behavioural rules, which may differ from more sophisticated maximising behaviour traditionally used in conventional economic analysis. Abhimanyu's research uses an evolutionary approach to economics relevant game theoretic situations, firm behaviour and industrial organisation.

In his recent research, Abhimanyu has analysed the importance of observation in situations where individuals choose by imitation. In a stylised environment of coordination games where individuals may interact with any one in the population but only observe, and hence imitate, the experiences of individuals in their respective social networks, a small observation span may have a detrimental effect on the coordination outcome. However, a minimum level of observation is sufficient in supporting the outcome preferred by the society at large. In other work, he has examined the long run outcome of a cognitive hierarchy model, where individuals in a population, engaged in strategic interaction, reason with different levels of cognition (formulated in terms of anticipating the "best response" of the co-player) and compares it to the situation in which individuals use the most primitive form of reasoning viz. assume that others do not reason or anticipate the opponent's behaviour. Abhimanyu's research also looks into the long run outcome when firms make strategic choices of price and quantity by imitation of the most profitable firm, and compares it with the behaviour of rational profit maximising firms.

In addition to the line of research on evolutionary game theory, Abhimanyu is conducting experiments exploring the dynamics of group decision making.