@inproceedings{4b408dae505346ebaafada930e1c9a04,
title = "Modeling self-efficacy using the computational-Unified Learning Model (C-ULM): Implications for computational psychology and cognitive computing",
abstract = "Self-efficacy is defined as a person's subjective confidence in their capability of executing an action and has been shown to be one of the most powerful motivators of human action predicting performance across a variety of domains. Self-efficacy has been associated with brain level neural processes and efficacy-like confidence mechanisms are incorporated into decision making in many cognitive informatics and cognitive computing models. Current computational implementations, however, do not directly model self-efficacy at either the theoretical or neural level. This paper reports on the computational modeling of self-efficacy based on principles derived from the Unified Learning Model (ULM) as instantiated in the multi-agent Computational ULM (C-ULM). Description of the modeling of self-efficacy within the C-ULM is provided. Results from simulations of self-efficacy evolution due to teaching and learning, task feedback, and knowledge decay are presented. The C-ULM simulation is unique in tying self-efficacy directly to the evolution of knowledge itself, consistent with recent neurological findings, and in dynamically updating self-efficacy at each step during learning and task attempts. Implications for research into human motivation and learning and for cognitive computing are discussed.",
keywords = "Cognitive computing, Cognitive modeling, Computational psychology, Motivation, Multi-agent systems, Self-Efficacy, Unified Learning Model",
author = "Shell, {Duane F.} and Soh, {Leen Kiat} and Vlad Chiriacescu",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 13th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2014 ; Conference date: 18-08-2014 Through 20-08-2014",
year = "2014",
month = oct,
day = "10",
doi = "10.1109/ICCI-CC.2014.6921450",
language = "English (US)",
series = "Proceedings of 2014 IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "117--125",
editor = "Shushma Patel and Yingxu Wang and Witold Kinsner and Dilip Patel and Gabriele Fariello and Zadeh, {Lotfi A.}",
booktitle = "Proceedings of 2014 IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2014",
}