World's Best Scientists 2026 revealed!
Joseph Y. Halpern

Joseph Y. Halpern

D-Index & Metrics

Computer Science

D-Index
100
Citations
55697
World Ranking
361
National Ranking
197

Research.com Recognitions

  • 2019 - Member of the National Academy of Engineering For methods of reasoning about knowledge, belief, and uncertainty and their applications to distributed computing and multiagent systems.
  • 2015 - Fellow of the American Academy of Arts and Sciences
  • 2008 - ACM AAAI Allen Newell Award For fundamental advances in reasoning about knowledge, belief, and uncertainty and their groundbreaking applications in artificial intelligence, computer science, game theory, economics, and the philosophy of science.
  • 2005 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2002 - ACM Fellow For contributions to the modeling of and reasoning about uncertainty.
  • 1993 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For sustained excellence in theoretical research on the logics of and relationships among knowledge, common knowledge, belief and probability.

Overview

Joseph Y. Halpern is affiliated with Cornell University in the United States, specializing in the fields of Computer Science and Decision Sciences. Their research encompasses a variety of topics including Bayesian Modeling and Causal Inference, Game Theory and Applications, Experimental Behavioral Economics Studies, Logic, Reasoning, and Knowledge, Decision-Making and Behavioral Economics, Cryptography and Data Security, and Auction Theory and Applications.

Their recent publications illustrate a focus on theoretical aspects of reasoning and decision-making. Notable papers include:

  • Reasoning about Causal Models with Infinitely Many Variables, 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • Sequential Equilibrium in Games of Imperfect Recall, 2021, ACM Transactions on Economics and Computation
  • Causality, Responsibility and Blame in Team Plans, 2020, arXiv (Cornell University)

Halpern has frequently collaborated with several researchers. Among the most common co-authors are Ivan Geffner, Hana Chockler, Spencer Peters, Yuval Heller, and Meir Friedenberg.

Their work has appeared in several publication venues multiple times, including arXiv (Cornell University), Electronic Proceedings in Theoretical Computer Science, Proceedings of the AAAI Conference on Artificial Intelligence, Leibniz-Zentrum für Informatik (Schloss Dagstuhl), and SSRN Electronic Journal.

The research focus spans diverse subfields such as Artificial Intelligence, Management Science and Operations Research, Safety Research, Economics and Econometrics, and Cognitive Neuroscience.

Joseph Y. Halpern has received recognition from professional organizations, including being named a Member of the National Academy of Engineering in 2019 for contributions related to methods of reasoning about knowledge, belief, and uncertainty and their applications to distributed computing and multiagent systems. Additional honors include Fellowship in the American Academy of Arts and Sciences in 2015, the ACM AAAI Allen Newell Award in 2008, Fellow of the American Association for the Advancement of Science in 2005, ACM Fellow in 2002, and Fellow of the Association for the Advancement of Artificial Intelligence in 1993. These awards reflect sustained work in areas linked to knowledge, belief, uncertainty, and their implications for artificial intelligence, computer science, game theory, economics, and philosophy of science.

Best Publications

  • Reasoning About Knowledge

    Ronald Fagin;Joseph Y. Halpern;Yoram Moses;Moshe Y. Vardi

  • Reasoning About Knowledge

    Ronald Fagin;Joseph Y. Halpern;Moshe Y. Vardi;Yoram Moses

  • Knowledge and common knowledge in a distributed environment

    Joseph Y. Halpern;Yoram Moses

  • Reasoning about Uncertainty

    Joseph Y. Halpern

  • “Sometimes” and “not never” revisited: on branching versus linear time temporal logic

    E. Allen Emerson;Joseph Y. Halpern

  • Belief, awareness, and limited reasoning

    R. Fagin;J. Y. Halpern

  • A guide to completeness and complexity for modal logics of knowledge and belief

    Joseph Y. Halpern;Yoram Moses

  • Gossip-based ad hoc routing

    Z.J. Haas;J.Y. Halpern;Li Li

  • Causes and explanations: A structural-model approach. Part I: Causes

    Joseph Y. Halpern;Judea Pearl

  • An analysis of first-order logics of probability

    Joseph Y. Halpern

  • A logic for reasoning about probabilities

    R. Fagin;J.Y. Halpern;N. Megiddo

  • Decision procedures and expressiveness in the temporal logic of branching time

    E. A. Emerson;Joseph Y. Halpern

  • Gossip-based ad hoc routing

    Zygmunt J. Haas;Joseph Y. Halpern;Li Li

  • Minimum-energy mobile wireless networks revisited

    L. Li;J.Y. Halpern

  • A propositional modal logic of time intervals

    Joseph Y. Halpern;Yoav Shoham

  • Analysis of a cone-based distributed topology control algorithm for wireless multi-hop networks

    Li Li;Joseph Y. Halpern;Paramvir Bahl;Yi-Min Wang

  • Reasoning about knowledge and probability

    Ronald Fagin;Joseph Y. Halpern

  • A guide to the modal logics of knowledge and belief: preliminary draft

    Joseph Y. Halpern;Yoram Moses

  • Distributed computing meets game theory: robust mechanisms for rational secret sharing and multiparty computation

    Ittai Abraham;Danny Dolev;Rica Gonen;Joe Halpern

  • Proceedings of the 20th conference on Uncertainty in artificial intelligence

    Christopher Meek;Max Chickering;Joseph Halpern

  • Causes and Explanations: A Structural-Model Approach: Part 1: Causes

    Joseph Y. Halpern;Riccardo Pucella

  • Gossip Based Ad-Hoc Routing

    Zygmunt Haas;Joseph Y. Halpern;Erran L. Li

Frequent Co-Authors

Rafael Pass
Rafael Pass Cornell University
Ronald Fagin
Ronald Fagin IBM (United States)
Yoram Moses
Yoram Moses Technion – Israel Institute of Technology
Moshe Y. Vardi
Moshe Y. Vardi Rice University
Daphne Koller
Daphne Koller insitro Inc.
Nir Friedman
Nir Friedman Weizmann Institute of Science
Danny Dolev
Danny Dolev Hebrew University of Jerusalem
Fahiem Bacchus
Fahiem Bacchus University of Toronto

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