Constructive decision theory

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

We sketch a theory of decision that allows us to construct both goals and degrees of belief. Before choosing an action, we create and weight goals. We represent our beliefs about the consequences of each action by constructing a belief function on the set of possible consequences. Then we combine the beliefs and goals to see the value that will be secured and the value that will be excluded by each action. This approach is more constructive than Bayesian decision theory, because as Savage's problem of small worlds teaches us, that theory assumes preferences that antedate deliberation.

Original languageEnglish (US)
Pages (from-to)45-62
Number of pages18
JournalInternational Journal of Approximate Reasoning
Volume79
DOIs
StatePublished - Dec 1 2016
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

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