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Iflows: A novel simulation model for predicting the effectiveness of a research community

  • Hofstra University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This paper presents a simulation model for observing the dynamics of a research community in engineering. The objective is to study how parameters, like group expertise and resources, influence the effectiveness of the group and community as a whole. The model implements a game-theoretic approach in which every group maximizes the difference between its rewards and costs (e.g., time and resources). Experiments studied the total reward and the number of problems solved over time by a community made of twenty groups for different conditions, i.e. allocated resources and group characteristics.

Original languageEnglish
Title of host publicationIEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CCMB 2014
Subtitle of host publication2014 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages71-78
Number of pages8
ISBN (Electronic)9781479945504
DOIs
StatePublished - Jan 23 2014
Event2014 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain, CCMB 2014 - Orlando, United States
Duration: Dec 9 2014Dec 12 2014

Publication series

NameIEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CCMB 2014: 2014 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain, Proceedings

Conference

Conference2014 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain, CCMB 2014
Country/TerritoryUnited States
CityOrlando
Period12/9/1412/12/14

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