Cleotilde Gonzalez mostly deals with Cognitive psychology, Dynamic decision-making, Artificial intelligence, Social psychology and Task. Cleotilde Gonzalez combines subjects such as Empirical research, Rational analysis and Social cognition with his study of Cognitive psychology. The Dynamic decision-making study combines topics in areas such as MicroWorlds, Domain knowledge, Heuristics and Attack model.
He interconnects Machine learning, Cognitive model, Process and Cognitive architecture in the investigation of issues within Artificial intelligence. His Organizational behavior study in the realm of Social psychology interacts with subjects such as Human factors and ergonomics. His research investigates the connection between Task and topics such as Adaptation that intersect with issues in Research design and Workload.
His primary areas of study are Social psychology, Dynamic decision-making, Task, Artificial intelligence and Cognitive psychology. Cleotilde Gonzalez usually deals with Social psychology and limits it to topics linked to Prisoner's dilemma and Social relation. His studies deal with areas such as Management science, Knowledge management, Set, Outcome and Business decision mapping as well as Dynamic decision-making.
His Task research includes themes of Human–computer interaction, Adaptation, Visual search and Simulation. The study incorporates disciplines such as Machine learning, Cognitive model and Process in addition to Artificial intelligence. His studies in Cognitive model integrate themes in fields like Computer security, Cognitive architecture and Learning theory.
His primary scientific interests are in Computer security, Deception, Adversarial system, Cognitive model and Phishing. His biological study spans a wide range of topics, including Perfect rationality, Learning theory and Human–machine system. The Adversarial system study combines topics in areas such as Sample, Management science and Multi-armed bandit.
As a member of one scientific family, Cleotilde Gonzalez mostly works in the field of Cognitive model, focusing on Intrusion detection system and, on occasion, Behavioral game theory. His Exploit research integrates issues from Deep learning, Construct, Task and Decision support system. His research in Construct intersects with topics in Artificial intelligence and Reinforcement learning.
His primary areas of investigation include Computer security, Deception, Internet privacy, Phishing and Adversarial system. His work deals with themes such as Repeated game and Human–machine system, which intersect with Computer security. Cleotilde Gonzalez interconnects Stackelberg competition, Adversary, Real-time simulation and Honeypot in the investigation of issues within Deception.
The various areas that Cleotilde Gonzalez examines in his Internet privacy study include Dark triad, Machiavellianism, Personality, Psychopathy and Vulnerability. He combines subjects such as Sample, Human behavior, Data science and Email management with his study of Adversarial system. The study incorporates disciplines such as Competition, Data collection, Knowledge management, Effective team and Cognitive model in addition to Cyber defense.
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Instance-based learning in dynamic decision making
Cleotilde Gonzalez;Javier F. Lerch;Christian Lebiere.
Cognitive Science (2003)
Why Don't Well-Educated Adults Understand Accumulation? A Challenge to Researchers, Educators, and Citizens.
Matthew A. Cronin;Cleotilde Gonzalez;John D. Sterman.
Organizational Behavior and Human Decision Processes (2009)
The framing effect and risky decisions: Examining cognitive functions with fMRI
Cleotilde Gonzalez;Jason Dana;Hideya Koshino;Marcel Adam Just.
Journal of Economic Psychology (2005)
The use of microworlds to study dynamic decision making
Cleotilde Gonzalez;Polina Vanyukov;Michael K. Martin.
Computers in Human Behavior (2005)
Effects of cyber security knowledge on attack detection
Noam Ben-Asher;Cleotilde Gonzalez.
Computers in Human Behavior (2015)
Instance-based learning: integrating sampling and repeated decisions from experience.
Cleotilde Gonzalez;Varun Dutt.
Psychological Review (2011)
Unpacking the Exploration–Exploitation Tradeoff: A Synthesis of Human and Animal Literatures
Sabine Mehlhorn;Ben R Newell;Peter M Todd;Michael D Lee.
Invitational Choice Symposium, 9th, Jun, 2013, Huis ter Duin, Netherlands; The ideas in this article originated from discussions in a workshop entitled Predicting Choice from Exploration, organized by Cleotilde Gonzalez and Katja Mehlhorn at the aforementioned conference. (2015)
Decision Support for Real-Time, Dynamic Decision-Making Tasks
Organizational Behavior and Human Decision Processes (2005)
Instance‐based Learning: A General Model of Repeated Binary Choice
Tomás Lejarraga;Varun Dutt;Cleotilde Gonzalez.
Journal of Behavioral Decision Making (2012)
Understanding the building blocks of dynamic systems
Matthew A. Cronin;Cleotilde Gonzalez.
System Dynamics Review (2007)
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