RESEARCH COLLOQUIUM ON COMPUTATIONAL SOCIAL SCIENCE/DATA SCIENCES – Fahad Aloraini – Modeling Solar-Panel Technology adoption in Austin: a test of the power of integrating GIS and Cognitive modeling

When:
October 18, 2019 @ 3:00 pm – 4:00 pm
2019-10-18T15:00:00-04:00
2019-10-18T16:00:00-04:00
Where:
CENTER FOR SOCIAL COMPLEXITY SUITE, 3RD FLOOR, RESEARCH HALL
Cost:
Free
Contact:
Karen Underwood
7039939298

Research Colloquium on Computational Social Science/Data Science

Fahad Aloraini
CSS PhD student

Modeling Solar-Panel Technology adoption in Austin: a test of the power of integrating GIS and Cognitive modeling.

Friday, October 18, 3:00 p.m.
Center for Social Complexity Suite, 3rd Floor Research Hall

All are welcome to attend.

Abstract:
Agent-based models are being created by researchers from increasingly diverse fields. While this wealth of different perspectives enriches the subject of these models nevertheless it poses problems and challenges such as the depth of knowledge required to construct these models’. An aspect where diversity is an issue is agent-decision-making. While there are cognitive architectures that have been validated in lab conditions against human data. These are too computationally expensive to be used for agent-based models with even moderate number of agents. Moreover these Cognitive Architectures do not specify the way with which to construct the environment and do not leverage the power that Agent-Based models can bring. As part of my master’s project I have come up with a framework that solves these issues; The Objects Memory Dynamics and Actions framework. The framework moves away from the use of unreliable subjective data (surveys and self-reports) to more objective forms of data (rate of exposure to objects). The framework integrates two cognitive architectures (ACT-R and Fast and Frugal) to include a learning computationally efficient agent, the framework specifies the objective data needed for agent learning and decision-making and how to estimate the unique rate with which an agent is exposed to an object in the environment. To test the framework I model Solar-Panel Technology adoption of households in Austin, Texas, and compare it to work done in the field.
Bio:
Fahad Aloraini is a current MAIS-Computational Social Science student and a prospective Computational Social Science Ph.D.. Fahad obtained his B.S in Psychology with a concentration in Human Factors and Applied Cognition in 2017 from George Mason University. Fahad’s research interests include Computational Modeling of Cognition, Energy Economics, and Agent-Based Modeling.