Cleotilde Gonzalez

She is a 2024 Fellow of the American Association for the Advancement of Science (AAAS), a lifetime Fellow at the Human Factors and Ergonomics Society and the Cognitive Science Society. She a member of the Governing Board of the Cognitive Science Society (2019-2025). Her research work focuses on how people and machines make dynamic decisions in real-time environments, when individuals have to adapt to external changes and make decisions using their experience. With Christian Lebiere and others, Gonzalez developed a theory of decision from experience in dynamic environments, called Instance-Based Learning Theory (IBLT). IBLT has been used as the basis to develop multiple computational models applied to diverse domains including: cybersecurity, human-machine teaming, and deception.

Cited works

Gonzalez' most cited works

1. Gonzalez, Cleotilde; Lerch, Javier F.; Lebiere, Christian (1 December 2003). "Instance-based learning in dynamic decision making". Cognitive Science. 27 (4): 591–635. doi:10.1207/s15516709cog2704_2.

2. Cronin, Matthew A.; Gonzalez, Cleotilde; Sterman, John D. (January 2009). "Why don't well-educated adults understand accumulation? A challenge to researchers, educators, and citizens" (PDF). Organizational Behavior and Human Decision Processes. 108 (1): 116–130. doi:10.1016/j.obhdp.2008.03.003. Retrieved 30 November 2020.

3. Gonzalez, Cleotilde; Dana, Jason; Koshino, Hideya; Just, Marcel (February 2005). "The framing effect and risky decisions: Examining cognitive functions with fMRI". Journal of Economic Psychology. 26 (1): 1–20. doi:10.1016/j.joep.2004.08.004. Retrieved 30 November 2020.