Cleotilde Gonzalez

{{Short description|Mexican-American scientist}}

{{Infobox academic | honorific_prefix = | name = Cleotilde Gonzalez | honorific_suffix = | image = | image_size = | alt = | caption = Gonzalez in 2019. | native_name = | native_name_lang = | birth_name = | birth_place = | death_date = | death_place = | death_cause = | nationality = American, Mexican | citizenship = | other_names = Coty Gonzalez | occupation = Research Professor | period = 2000–Present | known_for = Dynamic decision-making | title = | boards = | spouse = | partner = | children = | parents = | relatives = | awards = Lifetime Fellow of the Cognitive Science Society (CSS) and Fellow of the Human Factors and Ergonomics Society (HFES)| website = https://www.cmu.edu/dietrich/sds/ddmlab/cotyweb/ | education = | alma_mater = Texas Tech University (Ph.D, M.S.)
Universidad de las Americas-Puebla (MBA, B.S.) | thesis_title = Animation in User-interface Design for Decision-making: A Research Framework and Empirical Analysis | thesis_url = https://ttu-ir.tdl.org/handle/2346/10665 | thesis_year = | school_tradition = | doctoral_advisor = George M. Kasper | academic_advisors = Mica Endsley, Patricia R. DeLucia, Peter H. Westfall | influences = | era = | discipline = Cognitive Science | sub_discipline = Human factors | workplaces = Carnegie Mellon University | doctoral_students = | notable_students = | main_interests = Dynamic decision-making, decisions from experience, instanced-based learning theory, cognitive modeling. | notable_works = | notable_ideas = | influenced = | signature = | signature_alt = | signature_size = | footnotes = }}

Cleotilde Gonzalez is a Research Professor of Decision Sciences in the Social and Decision Sciences Department. She is also the Research Co-Director of the National NSF AI Institute for Societal Decision Making ([https://www.cmu.edu/ai-sdm/ AI-SDM]) and the founding director of the [http://www.cmu.edu/ddmlab Dynamic decision-making] laboratory at Carnegie Mellon University.{{Cite web|url=http://www.cmu.edu/dietrich/sds/people/faculty/cleotilde-gonzalez.html|title=Cleotilde Gonzalez - Social and Decision Sciences - Dietrich College of Humanities and Social Sciences - Carnegie Mellon University|first=Carnegie Mellon|last=University|website=www.cmu.edu}} Gonzalez is also affiliated with the Security and Privacy Institute (CyLab), the Center for Behavioral Decision Research (CBDR), the Human Computer Interaction Institute, the Center for Cognitive Brain Imaging, and the Center for Neural Basis of Cognition.{{cite web |title=Directory |url=https://www.cylab.cmu.edu/directory/index.html |website=CyLAB |publisher=Carnegie Mellon University}}{{cite web |title=People |url=https://www.cmu.edu/cbdr/people/index.html |website=Center for Behavioral Decision Research |publisher=Carnegie Mellon University}}{{cite web |title=Affiliated Faculty |url=https://www.hcii.cmu.edu/people/affiliated-faculty |website=Human Computer Interaction Institute |publisher=Carnegie Mellon University}}{{cite web |title=People |url=http://www.ccbi.cmu.edu/people.html |website=Center for Cognitive Brain Imaging |publisher=Carnegie Mellon University}}{{cite web |title=Directory |url=http://www.cnbc.cmu.edu/cnbc-directory/char/G/?cn-s=Gonzalez |website=Center for the Neural Basis of Cognition |publisher=Carnegie Mellon University}}

She is 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).{{Cite journal|title=Instance-based learning in dynamic decision making|first1=Cleotilde|last1=Gonzalez|first2=Javier F.|last2=Lerch|first3=Christian|last3=Lebiere|date=December 1, 2003|journal=Cognitive Science|volume=27|issue=4|pages=591–635|doi=10.1207/s15516709cog2704_2|doi-access=free}} IBLT has been used as the basis to develop multiple computational models applied to diverse domains including: cybersecurity, human-machine teaming, and deception.