Old Dominion University ODU Digital Commons Computational Modeling & Simulation Computational Modeling & Simulation Engineering Theses & Dissertations Engineering Fall 2019 Modeling Social Learning: An Agent-Based Approach Erika G. Ardiles Cruz Old Dominion University,
[email protected] Follow this and additional works at: https://digitalcommons.odu.edu/msve_etds Part of the Computer Engineering Commons, and the Social Psychology Commons Recommended Citation Ardiles Cruz, Erika G.. "Modeling Social Learning: An Agent-Based Approach" (2019). Doctor of Philosophy (PhD), Dissertation, Computational Modeling & Simulation Engineering, Old Dominion University, DOI: 10.25776/ppbs-8751 https://digitalcommons.odu.edu/msve_etds/53 This Dissertation is brought to you for free and open access by the Computational Modeling & Simulation Engineering at ODU Digital Commons. It has been accepted for inclusion in Computational Modeling & Simulation Engineering Theses & Dissertations by an authorized administrator of ODU Digital Commons. For more information, please contact
[email protected]. MODELING SOCIAL LEARNING: AN AGENT-BASED APPROACH by Erika G. Ardiles Cruz B.S. December 1998, Universidad San Antonio Abad A Dissertation Submitted to the Faculty of Old Dominion University in Partial Fulfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY MODELING AND SIMULATION OLD DOMINION UNIVERSITY December 2019 Approved by: John Sokolowski (Director) Roland Mielke (Member) Bryan Paine (Member) ABSTRACT MODELING SOCIAL LEARNING: AN AGENT-BASED APPROACH Erika G. Ardiles Cruz Old Dominion University, 2019 Director: Dr. John Sokolowski Learning is the process of acquiring or modifying knowledge, behavior, or skills. The ability to learn is inherent to humans, animals, and plants, and even machines are provided with algorithms that could mimic in a restricted way the processes of learning.