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Journal ArticleDOI

Bounded rationality: Fallible decisions in unbounded decision space

TLDR
In this paper, the authors present two related models of decision making by individual persons: the first model describes how nonrational mechanisms serve drastically to shrink problem space to a size enabling boundedly rational deciders to apply their limited, and highly fallible, rational/empirical strategies.
Abstract
This article concerns decision making by individual persons. Current theoretical and research challenges to classical decision theory provide the foundations for mapping the general structure of a revised theory of decision making. The main task facing the emerging theory is to make explicit provision for both nonrational and rational/ empirical sources of variance. This paper presents two related models. The first describes how nonrational mechanisms serve drastically to shrink problem space to a size enabling boundedly rational deciders to apply their limited, and highly fallible, rational/empirical strategies. The second model describes how confidence can be readily developed and maintained in fallible and invalid decisions made in typical problem domains At a metalevel of analysis the theory assumes a quasi-stable nested hierarchy, with the balance between equilibrium and stress at any given level related to the plasticity of its upper and lower boundary conditions. In the case of human systems boundary stability, within and between levels, is seen to be mainly a function of nonrational vectors (e.g., bias, confidence, fatigue, etc.), rather than cognitive vectors (e.g., information, rationality, probability, etc.). The article focuses on the individual decision maker functioning within an organizational system against the backdrop of historical and cultural constraints.

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Citations
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Journal ArticleDOI

Working in Practice But Not in Theory: Theoretical Challenges of “High-Reliability Organizations”

TL;DR: In this article, the authors argue that no one is perfect and no organization is likely to achieve the ideal of "Murphy and his law" and that some organizations must not make serious errors because their work is too important and the effects of their failures too disastrous.
Journal ArticleDOI

Problem complexity and the formulation process in planning and design

TL;DR: The role of problem statements in the formulation process is explored, using Ashby's Law of Requisite Variety as a basis, and the quantitative and qualitative features of problem statement are linked to the complexity of a problematic situation.
Journal ArticleDOI

`You Lucky Punters!' A Study of Gambling in Betting Shops

TL;DR: This article examined the rationality of the activities of loss-making punters, and showed how this differs markedly from the rationalities employed by those who win at the game -bookmakers and professional gamblers.
Journal ArticleDOI

Weighting Models to Generate Weights and Capacities in Multicriteria Group Decision Making

TL;DR: Three elaborately devised methods suggest ways to generate relative importance among experts, criteria, and the combination of them, respectively and an interesting mechanism to successfully melt them into one nm -dimensional capacity is found.
Journal ArticleDOI

Costing excitement in leisure betting

TL;DR: This paper explored the effects of excitement on the nature of betting decisions and found that those subgroups of the aggregate population which are most subject to excitement are shown to display significantly inferior decision-making performance, despite apparent informational advantages.
References
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Book

The Structure of Scientific Revolutions

TL;DR: The Structure of Scientific Revolutions as discussed by the authors is a seminal work in the history of science and philosophy of science, and it has been widely cited as a major source of inspiration for the present generation of scientists.
Book ChapterDOI

Prospect theory: an analysis of decision under risk

TL;DR: In this paper, the authors present a critique of expected utility theory as a descriptive model of decision making under risk, and develop an alternative model, called prospect theory, in which value is assigned to gains and losses rather than to final assets and in which probabilities are replaced by decision weights.
Book

Judgment Under Uncertainty: Heuristics and Biases

TL;DR: The authors described three heuristics that are employed in making judgements under uncertainty: representativeness, availability of instances or scenarios, and adjustment from an anchor, which is usually employed in numerical prediction when a relevant value is available.