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What is Aspiration Adaptation Theory

Handbook of Research on Nature-Inspired Computing for Economics and Management
Part of bounded rationality theory, the idea is that humans have an aspiration level. If a choice promises to satisfy this aspiration level, it is made without an extensive search for an optimal strategy. Selten coined the term satisficing instead of optimizing. If, however, after some search, no satisficing alternative is found, the aspiration level can be adapted downwards. Then a choice can be made among the alternatives already found that satisfy the new aspiration level (see Selten, 1998 , 2001 ).
Published in Chapter:
Agent-Based Modelnig with Boundedly Rational Agents
E. Ebenhoh (University of Osnabrück, Germany)
DOI: 10.4018/978-1-59140-984-7.ch017
Abstract
This chapter introduces an agent-based modeling framework for reproducing micro behavior in economic experiments. It gives an overview of the theoretical concept which forms the foundation of the framework as well as short descriptions of two exemplary models based on experimental data. The heterogeneous agents are endowed with a number of attributes like cooperativeness and employ more or less complex heuristics during their decision-making processes. The attributes help to distinguish between agents, and the heuristics distinguish between behavioral classes. Through this design, agents can be modeled to behave like real humans and their decision making is observable and traceable, features that are important when agent-based models are to be used in collaborative planning or participatory model-building processes.
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