Dynamic Models of Appraisal Networks Explaining Collective Learning

TitleDynamic Models of Appraisal Networks Explaining Collective Learning
Publication TypeConference Proceedings
Year of Conference2016
AuthorsMei W, Friedkin N.E, Bullo F.
Conference NameIEEE Conf. on Decision and Control
Date Published12/2016
Conference LocationLas Vegas, NV
KeywordsSocial networks
Abstract

This paper proposes models of learning process in groups of individuals who collectively execute a sequence of tasks and whose actions are determined by individual skill levels and networks of interpersonal appraisals and influence. The closely-related proposed models have increasing complexity, starting with a centralized manager-based assignment and
learning model, and finishing with a social model of interpersonal appraisal, assignments, learning, and influences. We show how rational optimal behavior arises along the task sequence for each model. Our models are grounded in replicator dynamics from evolutionary games, influence networks from mathematical sociology, and transactive memory systems from organization science.

DOI10.1109/CDC.2016.7798803
Refereed DesignationRefereed