title: The ESS in an asymmetric generalized war of attrition with mistakes in role perception.
abstract: We derive the ESS for the generalized asymmetric war of attrition, where payoffs to contestants may vary in time and may depend on some characteristic, called the "role" of an individual. We use the same approach as Hammerstein & Parker (1982), who examined an asymmetric war of attrition. We consider two roles, A and B. Role A is assumed to be favoured with respect to payoffs. It is assumed that there is always a true asymmetry, so in each contest one individual has role A and the other has role B. It is assumed that roles are assigned to contestants at random and that they can make mistakes in role perception. It is shown that, under certain assumptions about shapes of payoff functions and probabilities of making mistakes, there is an ESS which can be characterized by two probability distributions with non-overlapping support. Individuals who perceive their role as A should choose larger persistence times. This ESS structure is similar to that in the asymmetric war of attrition. In that model, the resource values and the cost rates are constant. We consider situations where all these values may change in time and where rewards and costs may be equal after some finite time. Such shapes of payoff functions arise naturally in competitive patch depletion (Sjerps & Haccou, 1994a,b). As a result, the probability density functions that specify the conditional strategies are no longer necessarily negative exponentials (as in the war of attrition), but may have very different shapes. Furthermore, under some conditions there is a maximum persistence time, at which there can be an atom of probability. We give explicit expressions as well as numerical approximations for the ESS.
authors.affiliation: Institute of Evolutionary and Ecological Sciences, Leiden University, 2300 RA Leiden, The Netherlands.
authors.forename: Patsy
authors.initials: P
authors.lastname: Haccou
authors.forename: Olivier
authors.initials: O
authors.lastname: Glaizot
mesh_terms: D000818:Animals; D005075:Biological Evolution; D003163:Competitive Behavior; D005716:Game Theory; D008960:Models, Psychological; D012380:Role