Journal article
Developing a computational model to understand the contributions of social learning modes to task coordination in teams
Artificial intelligence for engineering design, analysis and manufacturing, v 27(1), pp 3-17
Feb 2013
Abstract
This paper reports on a computational model developed to study the effects of various modes of social learning on task coordination in teams through the mapping of distributed team competence, a significant aspect of efficient teamwork. The computational model emphasizes and operationalizes distinct modes of social learning, differentiated in terms of socialization opportunities. Simulation results demonstrate that computational models based on fundamental principles of social learning provide a robust approach to study task coordination in teams and can be used to explore ways to organize opportunities for social learning depending upon member retention, team structure, and the complexity of the design task.
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Details
- Title
- Developing a computational model to understand the contributions of social learning modes to task coordination in teams
- Creators
- Vishal Singh - Aalto UniversityAndy Dong - The University of SydneyJohn S. Gero - George Mason University
- Publication Details
- Artificial intelligence for engineering design, analysis and manufacturing, v 27(1), pp 3-17
- Publisher
- Cambridge University Press
- Number of pages
- 15
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology)
- Web of Science ID
- WOS:000313514200002
- Scopus ID
- 2-s2.0-84872466640
- Other Identifier
- 991022156313304721