Benefits of collaboration and diversity in teams of categorically-thinking decision makers

Joong Bum Rhim, Lav R Varshney, Vivek K. Goyal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Certain information-processing limitations in hypothesis testing can be modeled as quantization of prior probabilities. While quantization hurts performance, a team of decision makers can minimize their performance loss by adopting diverse quantizers and collaborating on the design of their decision rules. In this paper, the benefits of diversity and collaboration in binary hypothesis testing are discussed. A set of N diverse K-level quantizers used by a team of N collaborating decision makers is as powerful as a single (N(K - 1) + 1)-level quantizer used by them all. If the decision makers do not collaborate, a set of diverse quantizers is less powerful, but it is still better than a set of identical quantizers.

Original languageEnglish (US)
Title of host publication2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012
Pages181-184
Number of pages4
DOIs
StatePublished - Oct 12 2012
Externally publishedYes
Event2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012 - Hoboken, NJ, United States
Duration: Jun 17 2012Jun 20 2012

Publication series

NameProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
ISSN (Electronic)2151-870X

Other

Other2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012
CountryUnited States
CityHoboken, NJ
Period6/17/126/20/12

ASJC Scopus subject areas

  • Signal Processing
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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