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An equivalent way of looking at satisficing is epsilon-optimization (that means you choose your actions so that the payoff is within epsilon of the optimum). If we define the "gap" between the optimum and the aspiration as ε where ε = U * − A. Then the set of satisficing options S(ε) can be defined as all those options s such that U(s) ≥ ...
The distinction between "maximizing" and "satisficing" was first made by Herbert A. Simon in 1956. [1] [2] Simon noted that although fields like economics posited maximization or "optimizing" as the rational method of making decisions, humans often lack the cognitive resources or the environmental affordances to maximize.
See also Decision analysis and Decision theory. Satisficing: examining alternatives only until the first acceptable one is found. The opposite is maximizing or optimizing, in which many or all alternatives are examined in order to find the best option. Acquiesce to a person in authority or an "expert"; "just following orders".
Bounded rationality attempts to address assumption points discussed within neoclassical economics theory during the 1950s. This theory assumes that the complex problem, the way in which the problem is presented, all alternative choices, and a utility function, are all provided to decision-makers in advance, [24] where this may not be realistic ...
Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute optimization) is an area of multiple-criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously.
Learning theory describes how students receive, process, and retain knowledge during learning. Cognitive, emotional, and environmental influences, as well as prior experience, all play a part in how understanding, or a worldview, is acquired or changed and knowledge and skills retained.
It is concerned with the ways in which the actual decision-making process influences decisions. Theories of bounded rationality relax one or more assumptions of standard expected utility theory". [53] Simon determined that the best way to study these areas was through computer simulations. As such, he developed an interest in computer science.
Gerd Gigerenzer (born 3 September 1947) is a German psychologist who has studied the use of bounded rationality and heuristics in decision making.Gigerenzer is director emeritus of the Center for Adaptive Behavior and Cognition (ABC) at the Max Planck Institute for Human Development, [1] Berlin, director of the Harding Center for Risk Literacy, [2] University of Potsdam, and vice president of ...