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Kirsch’s, and everyone’s, bind: how to build models for the wild?

Kirsch’s, and everyone’s, bind: how to build models for the wild?
Kirsch’s, and everyone’s, bind: how to build models for the wild?
Alexandra Kirsch proposed a general formal model of decision making. She proposed it as a model both of human psychology and of artificial intelligence. As one might expect, and as Don Ross explicated, this is a challenging, albeit fascinating, position to occupy. In this comment, I sketch my own view of the bind and speculate on how to get out of it. In one sentence, my description of the bind is: How to build models for the wild? By models, I mean formal (mathematical, computer-based, precise conceptual) models, and by the wild, I mean “large worlds,” which are situations where uncertainty cannot be meaningfully reduced to well-developed devices such as probability. I discuss solutions for getting out of the bind proposed in the cognitive science of decision making. And I discuss how another discipline, operations research, has attempted to get out of the bind.
Katsikopoulos, Konstantinos
b97c23d9-8b24-4225-8da4-be7ac2a14fba
Katsikopoulos, Konstantinos
b97c23d9-8b24-4225-8da4-be7ac2a14fba

Katsikopoulos, Konstantinos (2019) Kirsch’s, and everyone’s, bind: how to build models for the wild? Cognitive Processing. (doi:10.1007/s10339-019-00914-1).

Record type: Article

Abstract

Alexandra Kirsch proposed a general formal model of decision making. She proposed it as a model both of human psychology and of artificial intelligence. As one might expect, and as Don Ross explicated, this is a challenging, albeit fascinating, position to occupy. In this comment, I sketch my own view of the bind and speculate on how to get out of it. In one sentence, my description of the bind is: How to build models for the wild? By models, I mean formal (mathematical, computer-based, precise conceptual) models, and by the wild, I mean “large worlds,” which are situations where uncertainty cannot be meaningfully reduced to well-developed devices such as probability. I discuss solutions for getting out of the bind proposed in the cognitive science of decision making. And I discuss how another discipline, operations research, has attempted to get out of the bind.

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Accepted/In Press date: 11 March 2019
e-pub ahead of print date: 23 March 2019

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Local EPrints ID: 429311
URI: https://eprints.soton.ac.uk/id/eprint/429311
PURE UUID: f539c222-c37a-474c-8166-2d7df5029bbc

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Date deposited: 26 Mar 2019 17:30
Last modified: 30 Apr 2019 16:30

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