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Decision Theory, Subjective Uncertainty, and Computer Science

Published: 08 October 2024 Publication History

Abstract

I argue that further integration between Decision Theory and the methods of quantifying complexity and evaluating performance in Computer Science is valuable. I review [Lanzani 2024] as an illustration of this combination.

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Published In

cover image ACM SIGecom Exchanges
ACM SIGecom Exchanges  Volume 22, Issue 1
June 2024
180 pages
EISSN:1551-9031
DOI:10.1145/3699824
Issue’s Table of Contents
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 October 2024
Published in SIGECOM Volume 22, Issue 1

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Author Tags

  1. ambiguity
  2. convergence
  3. learning
  4. misspecification

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