In this paper we offer a new approach to modeling strategies of bounded complexity, the so-called factor-based strategies. In our model, the strategy of a player in the multi-stage game does not directly map the set of histories to the set of her actions. Instead, the player's perception of is...

In this paper we offer a new approach to modeling strategies of bounded complexity, the so-called factor-based strategies. In our model, the strategy of a player in the multi-stage game does not directly map the set of histories to the set of her actions. Instead, the player's perception of is...

A long time ago most economists would have limited themselves to stating that agreements should be individually rational and efficient and that selecting a specific agreement from that set depends on bargaining and negotiation power whatever that may be. Nowadays hardly any economist will argue...

The general framework of decision emergence (Güth, 2000a) is applied to the specific decision task of a proposer in ultimatum bargaining, i.e. to choosing how much the responder should be offered. For this purpose the "Master Module" as well as its submodules "New Problem Solver", "Adaptation...

Robust learning experiments confront participants with structurally different decision environments which they encounter, furthermore, repeatedly. Since the decision format does not depend on the rules (of game), forward looking deliberation (the shadow of the future) can be detected by...

Similar to welfare economics where with(out) interpersonal comparisons one defines unique (set-valued) welfare (Pareto) optima, we present a framework for one-person decision making where with(out) a prior probability distribution individual optimality prescribes usually a unique (set of)...