Inferring the logic of collective information processors

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

From neurons to insects to societies, across biology we see impressive feats of collective information processing. What strategies do these systems use to perform useful computations? Moving toward an answer to this question, this chapter focuses on common challenges in inferring models of complicated distributed systems and how the perspective of information theory and statistical physics is useful for understanding collective behavior.

Original languageEnglish (US)
Title of host publicationAdvances in Info-Metrics
Subtitle of host publicationInformation and Information Processing across Disciplines
PublisherOxford University Press
Pages81-112
Number of pages32
ISBN (Electronic)9780190636685
DOIs
StatePublished - Jan 1 2020

Keywords

  • Collective behavior
  • Collective computation
  • Dimensionality reduction
  • Maximum entropy models
  • Model inference
  • Model reduction
  • Phase transitions
  • Sloppy models
  • Systems biology

ASJC Scopus subject areas

  • Economics, Econometrics and Finance(all)
  • Business, Management and Accounting(all)

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