Eric Pacuit

Eric Pacuit

Research Interests: Logic (especially modal logic), social choice theory, game theory, decision theory, formal and social epistemology, and artificial intelligence

Better Choices

Better Choices

Learn how Consensus Choice Voting will improve our elections!

Stable Voting

Stable Voting

Create and run polls for your organization or group.

pref_voting

Python package for analyzing and comparing preferential voting methods.

Recent Publications

An extension of May's Theorem to three alternatives: axiomatizing Minimax voting (with Wes Holliday), Social Choice and Welfare, 2026
Epistemic Game Theory Paolo Galeazzi, Eric Pacuit, Olivier Roy (2026). Epistemic Game Theory, Cambridge University Press
The irrationality of the California gubernatorial recall system (with Wes Holliday), The Mathematics Enthusiast, 23(3), pp. 269-293
An Axiomatic Characterization of Split Cycle (with Yifeng Ding, and Wes Holliday), Social Choice and Welfare, 2025
Epistemic Foundations of Game Theory (with Olivier Roy), Stanford Encyclopedia of Philosophy
Learning to Manipulate under Limited Information (with Wes Holliday and Alexander Kristoffersen), Proceedings of the AAAI Conference on Artificial Intelligence, 2025
The Social Utility of Voting Revisited (with Wes Holliday), https://exp-soc-util-perf.pacuit.org/, in preparation
Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback (with Vince Conitzer et al.), presented at ICML 2024 and Social Choice and Welfare Conference 2024

Announcements

Logic research group (weekly seminar at the University of Maryland)
Invited Participant, BIRS Workshop: The Mathematics of Elections, Fairness, and Representation, March 29 - April 3, 2026
Characterizations of voting rules based on majority margins, Talk at Online Social Choice and Welfare Seminar, February 17, 2026, online
ESSLLI 2025 Course: Epistemic Arithmetic, Bochum, Germany
Co-Organized Social Choice for AI Ethics and Safety 2025 (SC4AI'25), May 19, 2025, AAMAS, Detroit, Michigan
Invited Speaker, Modal Logic Session, Association for Symbolic Logic, "Common p-Belief and Plausibility Measures", New Mexico State University, Las Cruces, New Mexico, May 13-16, 2025
Online notes on logic and probability: Prepared for an course introducing logic and probability (PHIL 171)
Book: Neighborhood Semantics for Modal Logic, Springer 2017.

Short Bio

Eric Pacuit is a professor in the Department of Philosophy at the University of Maryland. Prior to coming to Maryland, Eric did his graduate work at the City University of New York Graduate Center in Computer Science, and was a postdoctoral researcher at the Institute for Logic, Language and Computation at the University of Amsterdam and in the Departments of Philosophy and Computer Science at Stanford University. Eric's primary research interests are in logic (especially modal logic), social choice theory, game theory, formal and social epistemology, and problems that arise in AI and ethics. His research has been funded by the Natural Science Foundation and a Vidi grant from the Dutch science foundation (NWO).