In this paper, we introduce the concept of payoff distortion in the standard prisoner’s dilemma game when strategies are driven by psychological behaviors. This concept enables to take account each player’s assessment of the other player’s behavior and the asymmetry of information. We...

In a haystack-type representation of a heterogeneous population that is evolving according to a payoff structure of a prisoner's dilemma game, migration is modeled as a process of swapping individuals between heterogeneous groups of constant size after a random allocation fills the haystacks,...

Using the author's own experiences, this chapter shows how agent-based modeling (ABM) can address research questions common to many disciplines, facilitate interdisciplinary collaboration, provide a useful multidisciplinary tool when the math is intractable, and reveal unity across disciplines....

This paper reports the results of an experimental investigation which allows a deeper insight into the nature of social preferences amongst organized criminals and how these differ from "ordinary" criminals on the one hand and from the non‐criminal population in the same geographical area on...

The prisoner's dilemma (PD) is arguably the most important model of social dilemmas, but our knowledge about how a PD's material payoff structure affects cooperation is incomplete. In this paper we investigate the effect of variation in material payoffs on cooperation, focussing on one-shot PD...

We examine how conditional cooperation is related to the material payoffs in a Sequential Prisoner's Dilemma experiment. We have subjects play eight SPDs with varying payoffs, systematically varying the material gain to the second-mover and the material loss to the first-mover when the...

The prisoner's dilemma (PD) is arguably the most important model of social dilemmas, but our knowledge about how a PD’s material payoff structure affects cooperation is incomplete. In this paper we investigate the effect of variation in material payoffs on cooperation, focussing on one-shot PD...