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.
Recent Journal Papers
Winner Determination in Voting Trees with Incomplete Preferences and Weighted Votes. J. Lang, M.S. Pini, F. Rossi, D. Salvagnin, K.B. Venable, T. Walsh. To appear in Autonomous Agents and Multi-Agent Systems, Springer.
Uncertainty in bipolar preference problems. S. Bistarelli, S. Pini, F. Rossi, K.B. Venable. To appear in Journal of Experimental and Theoretical Artificial Intelligence, Taylor & Francis.
Incompleteness and Incomparability in Preference Aggregation: Complexity Results. M.S. Pini, F. Rossi, K.B. Venable, T. Walsh. In Artificial Intelligence – Special Issue on Rep- resenting, Processing, and Learning Preferences: Theoretical and Practical Challenges, C. Domshlak, E. Hllermeier, S. Kaci, H. Prade Editors, volume 175, issue 7-8, pp. 1272-1289, 2011.
Manipulation complexity and gender neutrality in stable marriage procedures. M.S. Pini, F. Rossi, K.B. Venable, T. Walsh, In Autonomous Agents and Multi-Agent Systems, volume 22, issue 1, pp. 183-199, 2011.
Interval-valued soft constraint problems. M.S. Pini, F. Rossi, K.B. Venable, N. Wilson. In Annals of Mathematics and Artificial Intelligence, volume 58, issues 3-4, pp. 261-298, 2010.
Elicitation strategies for soft constraint problems with missing preferences: Properties, al- gorithms and experimental studies. M. Gelain, M.S. Pini, F. Rossi, K.B. Venable, T. Walsh. In Artificial Intelligence, volume 174, issues 3-4,pp. 270-294, 2010.
From soft constraints to bipolar preferences: modeling framework and solving issues. S. Bistarelli, M.S. Pini, F. Rossi, K.B. Venable. In Journal of Experimental and Theoretical Artificial Intelligence, volume 22, issue 2, pp. 135-158, 2010.
Soft constraint problems with uncontrollable variables. M.S. Pini, F. Rossi, K.B. Venable. In Journal of Experimental and Theoretical Artificial Intelligence, volume 22, issue 4, pp. 269-310, 2010.
Dynamic Consistency of Fuzzy Conditional Temporal Problems. M. Falda, F. Rossi, K.B. Venable. In Journal of Intelligent Manufacturing, volume 21, issue 1, pp. 74-88, 2010.
Aggregating Partially Ordered Preferences. M.S. Pini, F. Rossi, K.B. Venable, T. Walsh. In Journal of Logic and Computation, volume 19, issue 3, pp. 475-502, 2009.
Preferences in Constraint Satisfaction and Optimization. F. Rossi, K.B. Venable, T. Walsh. In AI Magazine, volume 29, issue 4, pp. 58-68, 2008.
Comparing the notions of optimality in CP-nets, strategic games and soft constraints. K.Z. Apt, F. Rossi, K.B. Venable. In Annals of Mathematics and Artificial Intelligence, volume 52, issue 1, pp. 25-54, 2008.
Fuzzy conditional temporal problems: Strong and weak consistency. M. Falda, F. Rossi, K.B. Venable. In Engineering Applications of Artificial Intelligence, volume 21, issue 5, pp. 710-722, 2008.