The paper deals with bounded rationality understood in the tradition of H.A. Simon. Fundamental problems and theoretical issues are discussed. Special emphasis is put on aspiration adaptation theory. Further remarks concern basic models of decision behavior (like learning and expectation...

Divide the decisionmaker's future into: (i) a pre-outcome period (lasting from the decision until the outcome of that decision is known), and (ii) a sequel post-outcome period (beginning when the outcome becomes known). Anticipated emotions in both periods may influence the decision, in...

The paper presents an expository account of several experimentally based descriptive theories of cooperation in interactive decision situations. First the equity principle (Selten 1988), prominence in the decimal system (Albers and Albers 1983), and the difference measure of predictive success...

Aspiration adaptation theory (Sauermann and Selten, 1962), not available in English up to now, is a general model of non-optimizing boundedly rational behavior. The theory is presented in a more formal fashion than in the original paper. Moreover, the presentation is complemented by remarks on...

If payoffs are tickets for binary lotteries, which involve only two money prizes, then rationality requires expected value maximization in tickets. This payoff scheme was increasingly used to induce risk neutrality in experiments. The experiment presented here involved lottery choice and...

On the basis of experimental evidence reported in the literature the paper draws conclusions about the bounded rationality exhibited by human economic behaviour. Among the topics discussed are presentation effects caused by superficial analysis, strategic reasoning and strategy construction...

In the evaluation of experiments often the problem arises how to compare the predictive success of competing probabilistic theories. The quadratic soring rule can be used for this purpose. Originally this rule has been proposed as an incentive compatible elicitation method for probabilistic...