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Tradeoff Studies and Cognitive Biases

Decisions among alternatives that do not fit rigorous numerical frameworks are common. Such decisions, in which the various aspects of the alternatives are considered simultaneously, are called a tradeoff studies. Tradeoff studies may be more common than optimization problems, but are not generally formalized in written form.Tradeoff studies are broadly recognized and mandated as the method for considering many criteria simultaneously. They are the primary method for making a decision among alternatives listed in the Software Engineering Institute's Capability Maturity Model Integration (CMMI) Decision Analysis and Resolution (DAR) process.The field of Decision Making can explain why the mechanics of tradeoff studies are approached with underconfidence, and can also help eliminate biases from the tradeoff process. Many conclusions obtained from Judgment and Decision Making (JDM), Cognitive Science and Experimental Economics can be used to shed light on various aspects of the tradeoff process. Of course, since many experiments were designed to reveal truths about choice at a basic level, they do not exactly model the processes of tradeoff studies. The technique used to compare the basic experiments and tradeoff studies will be abstraction.Abstraction noun 1. a general concept formed by extracting common features from specific examples, 2. the process of extracting the underlying essence.What follows is a union of the fields of tradeoff studies and cognitive decision making. Because these two areas have never before been explicitly unified, I have produced some unfinished areas in which specific research needs to be done. At this stage, the work of unification must necessarily be conducted at an abstract level.

Identiferoai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/194780
Date January 2006
CreatorsSmith, Eric David
ContributorsBahill, Terry, Bahill, Terry, Szidarovszky, Ferenc, Son, Young Jun, Piattelli-Palmarini, Massimo, Connolly, Terry
PublisherThe University of Arizona.
Source SetsUniversity of Arizona
LanguageEnglish
Detected LanguageEnglish
Typetext, Electronic Dissertation
RightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.

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