Cleotilde (Coty) Gonzalez
Professor
Ph.D. in Management Information Systems
- PH 223E
- 412-268-6242
- 412-268-6938
Bio
Cleotilde (Coty) Gonzalez is a Professor at the Department of Social and Decision Sciences at Carnegie Mellon University. She is the founding director of the Dynamic Decision Making Laboratory and the research co-director of the National AI Institute for Societal Decision Making. She is affiliated with the CyLab Security and Privacy Institute, The Human-Computer Interaction Institute, The Software and Societal Systems Department, and The CNBC Center for Neural Basis of Cognition at Carnegie Mellon University.
Coty is a 2024 AAAS Fellow and the 15th faculty member from Dietrich College of Humanities and Social Sciences to be elected a fellow of AAAS. She is a lifetime fellow of the Cognitive Science Society and of the Human Factors and Ergonomics Society. She is a Senior Editor for Topics in Cognitive Science, a Consulting Editor for Decision, and Associate Editor for the System Dynamics Review and a member of editorial boards in multiple other journals including: Cognitive Science, Psychological Review, Perspectives on Psychological Science, and others.
Coty has published hundreds of papers in journals and peer-reviewed proceedings involving a diverse set of fields deriving from her contributions to Cognitive Science. Her work includes the development of a theory of decisions from experience called Instance-Based Learning Theory (IBLT), from which many computational models have emerged in areas as diverse as: cybersecurity, network science, human-machine teaming, and others. Coty has been Principal or Co-Investigator on a wide range of multi-million and multi-year collaborative efforts with government and industry, including current efforts on NSF AI National Institutes, Multi-University Research Initiative grants from the Army Research Laboratories and Army Research Office; large collaborative projects with the Defense Advanced Research Projects Agency (DARPA) and the Intelligence Advanced Research Projects Activity (IARPA).
Education
Ph.D.: Texas Tech University
Research
My research focuses on the study of decision making in dynamic environments. Dynamic decision making is characterized by the need to make multiple, interdependent, real-time decisions while adapting to external changes and using our past experience.
My general research interest is in determining how decision makers adapt their decisions and learn to make better choices in dynamic situations. To answer this question, I conduct experimental studies using dynamic decision making games, and computational cognitive modeling to represent the human decision making process. To construct cognitive models, we rely on Instance-Based Learning Theory (IBLT), a theory decisions from experience in dynamic tasks.
For graduate students and other applicants interested in my work, please go to the DDMLab for more information.