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Dr. Venable is a computer scientist with expertise in artifiicial intelligence. Her research is dedicated to providing a solid framework for the design and deployment of intelligent systems able to reason about preferences. As preferences are fundamental for the analysis of human choice behavior, they are becoming of increasing importance for computationalf elds such as artifcial intelligence (AI), databases, and human-computer interaction. Preference models are needed in decision-support systems such as web-based recommender systems, in automated problem solvers such as configurators, and in autonomous systems such as Mars rovers. Moreover, social choice methods are also of key importance in computational domains such as multi-agent systems. Dr. Venable joined IHMC in August 2012. Previously, she was a tenured Professor of Computer Science at the University of Padova, Italy. She received her doctorate in Computer Science and also the Laurea Magna cum Laude in Mathematics from University of Padova. Dr. Venable is the co-author of a book, “A short introduction to preferences: between artificial intelligence and social choice”, Morgan & Claypool (2011), and has published over seventeen journal papers and fifty conference papers. Dr. Venable mantains a lively collaboration with several research centers, among which NICTA and NASA Ames. She has been the University of Padova point-of-contact and responsible for the coordination and execution of the NASA-University of Padova agreement for Rotorcraft Noise Reduction and Trajectory Optimization, signed November 2010.
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MACHINE LEARNING, OPTIMIZATION, AND DATA SCIENCE, LOD 2022, PT II (2023): 502-509
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AAAI/ACM Conference on AI, Ethics, and Society (AIES)pp.447-454, (2022)
International Workshop on Neural-Symbolic Learning and Reasoning (NeSy)pp.171-185, (2022)
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ToM for Teamspp.173-193, (2021)
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