| The winograd schema challenge H Levesque, E Davis, L Morgenstern Thirteenth international conference on the principles of knowledge …, 2012 | 1414 | 2012 |
| Representations of commonsense knowledge E Davis Morgan Kaufmann, 1990 | 863* | 1990 |
| Constraint propagation with interval labels E Davis Artificial intelligence 32 (3), 281-331, 1987 | 849 | 1987 |
| Rebooting AI: Building artificial intelligence we can trust G Marcus, E Davis Vintage, 2019 | 640 | 2019 |
| Commonsense reasoning and commonsense knowledge in artificial intelligence E Davis, G Marcus Communications of the ACM 58 (9), 92-103, 2015 | 582 | 2015 |
| Planning routes through uncertain territory D McDermott, E Davis Artificial intelligence 22 (2), 107-156, 1984 | 282 | 1984 |
| How robust are probabilistic models of higher-level cognition? GF Marcus, E Davis Psychological science 24 (12), 2351-2360, 2013 | 213 | 2013 |
| Algorithms for scheduling tasks on unrelated processors E Davis, JM Jaffe Journal of the ACM (JACM) 28 (4), 721-736, 1981 | 211 | 1981 |
| Representing and acquiring geographic knowledge E Davis Morgan Kaufman Publishers, Inc., Los Altos, CA, 1986 | 175 | 1986 |
| Eight (no, nine!) problems with big data G Marcus, E Davis The New York Times 6 (04), 2014, 2014 | 170 | 2014 |
| Processes and continuous change in a SAT-based planner JA Shin, E Davis Artificial Intelligence 166 (1-2), 194-253, 2005 | 143 | 2005 |
| GPT-3, Bloviator: OpenAI’s language generator has no idea what it’s talking about G Marcus, E Davis Technology Review, 294, 2020 | 142 | 2020 |
| A very preliminary analysis of DALL-E 2 G Marcus, E Davis, S Aaronson arXiv preprint arXiv:2204.13807, 2022 | 128 | 2022 |
| What's the point? RC Schank, GC Collins, E Davis, PN Johnson, S Lytinen, BJ Reiser Cognitive science 6 (3), 255-275, 1982 | 116 | 1982 |
| Introduction: Progress in formal commonsense reasoning E Davis, L Morgenstern Artificial Intelligence 153 (1-2), 1-12, 2004 | 95 | 2004 |
| Naive physics perplex E Davis AI magazine 19 (4), 51-51, 1998 | 77 | 1998 |
| The scope and limits of simulation in automated reasoning E Davis, G Marcus Artificial Intelligence 233, 60-72, 2016 | 75 | 2016 |
| Planning, executing, and evaluating the winograd schema challenge L Morgenstern, E Davis, CL Ortiz AI Magazine 37 (1), 50-54, 2016 | 72 | 2016 |
| Logical formalizations of commonsense reasoning: a survey E Davis Journal of Artificial Intelligence Research 59, 651-723, 2017 | 69 | 2017 |
| Constraint networks of topological relations and convexity E Davis, NM Gotts, AG Cohn Constraints 4, 241-280, 1999 | 66 | 1999 |
Anthony (Tony) G CohnProfessor of Automated Reasoning, University of LeedsVerified email at leeds.ac.uk
