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

Project Researchers: Cleotilde Gonzalez (Co-PI) External Collaborators: Peng Liu (PI), Associate Professor of Information Sciences and Technology at Penn State University Nancy Cooke, Professor of Applied Psychology at Arizona State University Sushil Jajodia, International Professor of Information Technology at George Mason University Peng Ning, Associate Professor of Computer Science at North Carolina State University Michael Young, Associate Professor of Computer Science at North Carolina State University V. S. Subrahmanian, Professor of Computer Science and the Director of the Institute for Advanced Computer Studies (UMIACS) at the University of Maryland Funding Source: Multidisciplinary University Research Initiative (MURI), sponsored by the U.S. Army Research Office

Overview

This project is devoted to the understanding of basic human mechanisms in cue learning and utility-based decision making. We investigate how people use different similarity functions, and how individuals use different pieces of information (cues) in making decisions such as classifying visual targets, and deciding of how to address them. The purpose of this project is to integrate the concepts of hypothesis generation and instance-based learning in dynamic decision making situations, towards the development of a theory of dynamic cyber SA decision making.

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.