4 citations · 6 across the 4 of their papers we have counts for
6 papers
Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind
Mouad Abrini, Omri Abend, Dina Acklin +105
This volume includes a selection of papers presented at the Workshop on Advancing Artificial Intelligence through Theory of Mind held at AAAI 2025 in Philadelphia US on 3rd March 2…
Multi-Criteria Comparison as a Method of Advancing Knowledge-Guided Machine Learning
Jason L. Harman, Jaelle Scheuerman
This paper describes a generalizable model evaluation method that can be adapted to evaluate AI/ML models across multiple criteria including core scientific principles and more pra…
Modeling Voters in Multi-Winner Approval Voting
Jaelle Scheuerman, Jason Harman, Nicholas Mattei +1
In many real world situations, collective decisions are made using voting and, in scenarios such as committee or board elections, employing voting rules that return multiple winner…
On Interactive Machine Learning and the Potential of Cognitive Feedback
Chris J. Michael, Dina Acklin, Jaelle Scheuerman
In order to increase productivity, capability, and data exploitation, numerous defense applications are experiencing an integration of state-of-the-art machine learning and AI into…
Heuristic Strategies in Uncertain Approval Voting Environments
Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei +1
In many collective decision making situations, agents vote to choose an alternative that best represents the preferences of the group. Agents may manipulate the vote to achieve a b…
Heuristics in Multi-Winner Approval Voting
Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei +1
In many real world situations, collective decisions are made using voting. Moreover, scenarios such as committee or board elections require voting rules that return multiple winner…