2 citations · 3 across the 3 of their papers we have counts for
5 papers
Learning Behavioral Soft Constraints from Demonstrations
Arie Glazier, Andrea Loreggia, Nicholas Mattei +3
Many real-life scenarios require humans to make difficult trade-offs: do we always follow all the traffic rules or do we violate the speed limit in an emergency? These scenarios fo…
Modeling Contrary-to-Duty with CP-nets
Roberta Calegari, Andrea Loreggia, Emiliano Lorini +2
In a ceteris-paribus semantics for deontic logic, a state of affairs where a larger set of prescriptions is respected is preferable to a state of affairs where some of them are vio…
CPMetric: Deep Siamese Networks for Learning Distances Between Structured Preferences
Andrea Loreggia, Nicholas Mattei, Francesca Rossi +1
Preference are central to decision making by both machines and humans. Representing, learning, and reasoning with preferences is an important area of study both within computer sci…
Logical Conditional Preference Theories
Cristina Cornelio, Andrea Loreggia, Vijay Saraswat
CP-nets represent the dominant existing framework for expressing qualitative conditional preferences between alternatives, and are used in a variety of areas including constraint s…
Restricted Manipulation in Iterative Voting: Convergence and Condorcet Efficiency
Umberto Grandi, Andrea Loreggia, Francesca Rossi +2
In collective decision making, where a voting rule is used to take a collective decision among a group of agents, manipulation by one or more agents is usually considered negative…