Understanding Conflict with a Socio-Cognitive Computational Approach
	Training Dynamic Decision Making in Mine Emergency Situations
	Hypothesis Generation & Reasoning in Dynamic Cyber SA Decision Making
	Training Decision Making Skills
	Cognitive Process Modeling and Measurement in Dynamic Decision Making
	Hypothesis Generation & Feedback in Dynamic Decision Making
	Learning & Adaptation in Complex Decision Making Situations
	Neural Basis of Decision Making

Former Sponsored Projects

Facilities, Methods, & DMGames

	Facilities & Methods
	DMGames

	Dynamic Climate Change Simulator (DCCS)
	Dynamic Stocks & Flows (DSF)
	The Water Purification Plant (WPP)
	FIRECHIEF
	Beer Game
	MEDIC

Training Decision Making Skills

Project Researchers: Cleotilde Gonzalez (Co-PI) & Varun Dutt (Doctoral Student) External Collaborators: Alice Healy (PI), Professor of Psychology at the University of Colorado at Boulder Lyle Bourne (Co-PI), Professor of Psychology Emeritus and Faculty Fellow of Institute of Cognitive Science at the University of Colorado at Boulder Robert Proctor, Professor of Psychology at Purdue University Funding Source: Multidisciplinary University Research Inititative (MURI), sponsored by Army Research Office

Overview

Our goal in this project is to create ACT-R computational models that will be used as predictive tools for the different effects resulting from the application of empirically-based training principles. Currently are investigating the speed-accuracy trade-offs resulting from fatigue in a task with extended practice, stimulus-response consistency, and the Simon Effect. We are also developing a generic Instance-Based learning tool (IBL tool) that will help psychology and non-modelers to develop and test computational models.

The Dynamic Decision Making Laboratory is part of the Social and Decision Sciences Department,  Carnegie Mellon University. For updates and comments, please email hauyuw@andrew.cmu.edu.