Cleotilde (Coty) Gonzalez

About

Cleotilde Gonzalez (Coty) is a Full Tenured Professor of Decision Sciences at Carnegie Mellon University. She holds a Ph.D. in Management Information Systems and serves in the Department of Social & Decision Sciences. Professor Gonzalez is the Founding Director of the Dynamic Decision Making Laboratory (DDMLab), a research laboratory that is part of the Social and Decision Sciences Department at Carnegie Mellon University. She is also the Research Co-Director of the newly founded NSF AI Institute for Societal Decision Making (AI-SDM) at Carnegie Mellon University. Her work centers on decision sciences, with a focus on dynamic decision making processes.

Research topics

• Computer Science
• Artificial Intelligence
• Psychology
• Sociology
• Computer Security
• Cognitive science
• Knowledge management
• World Wide Web
• Management science
• Social psychology

Selected publications

• Beyond collective intelligence: Collective adaptation

  Journal of The Royal Society Interface · 2023 · 86 citations

  We develop a conceptual framework for studying collective adaptation in complex socio-cognitive systems, driven by dynamic interactions of social integration strategies, social environments and problem structures. Going beyond searching for 'intelligent' collectives, we integrate research from different disciplines and outline modelling approaches that can be used to begin answering questions such as why collectives sometimes fail to reach seemingly obvious solutions, how they change their strat…

  DOI

• Toward Personalized Deceptive Signaling for Cyber Defense Using Cognitive Models

  Topics in Cognitive Science · 2020 · 45 citations

  Recent research in cybersecurity has begun to develop active defense strategies using game-theoretic optimization of the allocation of limited defenses combined with deceptive signaling. These algorithms assume rational human behavior. However, human behavior in an online game designed to simulate an insider attack scenario shows that humans, playing the role of attackers, attack far more often than predicted under perfect rationality. We describe an instance-based learning cognitive model, buil…

  DOI

• Cognitive elements of learning and discriminability in anti-phishing training

  Computers & Security · 2023 · 19 citations

  Senior authorCorresponding
  PublisherDOI

• A cognitive approach to human–AI complementarity in dynamic decision-making

  Nature Reviews Psychology · 2025-10-17 · 10 citations

  article1st authorCorresponding
  PublisherDOI

• Personalized Model‐Driven Interventions for Decisions From Experience

  Topics in Cognitive Science · 2024-10-16 · 6 citations

  articleOpen access

  Cognitive models that represent individuals provide many benefits for understanding the full range of human behavior. One way in which individual differences emerge is through differences in knowledge. In dynamic situations, where decisions are made from experience, models built upon a theory of experiential choice (instance-based learning theory; IBLT) can provide accurate predictions of individual human learning and adaptivity to changing environments. Here, we demonstrate how an instance-base…

  PublisherOA PDFDOI

Recent grants

• Collaborative Research: DRU: Hypothesis Generation and Feedback in Dynamic Decision Making

  NSF · $357k · 2006–2010

• An Integrated Learning Theory of Descriptive and Experience-Based Decisions

  NSF · $485k · 2015–2019

• Integrating and Extending Decisions from Experience Phenomena with Instance-Based Learning Models

  NSF · $520k · 2012–2016

Frequent coauthors

• Varun Dutt

  85 shared

• Christian Lebière

  Carnegie Mellon University

  57 shared

• Palvi Aggarwal

  The University of Texas at El Paso

  45 shared

• Jolie M. Martin

  35 shared

• Noam Ben‐Asher

  27 shared

• Thuy Ngoc Nguyen

  26 shared

• Prashanth Rajivan

  University of Washington

  23 shared

• Tomás Lejarraga

  22 shared

Labs

• Dynamic Decision Making LaboratoryPI

  Focuses on human behavioral decision making and technology

Education

• Ph.D.

  Texas Tech University

Awards & honors

• 2024 AAAS Fellow

Similar researchers at Carnegie Mellon University

• Kathleen M. Carleyh-89
• Norman Sadehh-63
• James Herbslebh-58