Melanie Mitchell
Active 1990–2026
- Also published as
- Mélanie Mitchell
- 107
- Papers
- 19,913
- Citations
- 45
- h-index
- 81
- i10-index
Citations
Citation sources
Countries
Institutions
Fields
- Computer Science57.8%
- Engineering14.7%
- Biochemistry, Genetics and Molecular Biology5.3%
- Social Sciences3.7%
- Neuroscience2.8%
- Physics and Astronomy2.4%
- Other13.3%
Topics
- Evolutionary Algorithms and Applications7.4%
- Metaheuristic Optimization Algorithms Research6.5%
- Advanced Multi-Objective Optimization Algorithms2.8%
- Cellular Automata and Applications2.3%
- Neural Networks and Applications1.9%
- Evolutionary Game Theory and Cooperation1.3%
- Other77.8%
Coauthors
- James P. Crutchfield13
- Stephanie Forrest7
- Garrett T. Kenyon6
- Melanie Moses4
- Payel Ghosh4
- Rajarshi Das4
- Tyler Millhouse4
- Anthony D. Rhodes3
- David C. Krakauer3
- Jacob M. Springer3
- John H. Holland3
- Max H. Quinn3
- Arseny Moskvichev2
- Arthur Y. Hung2
- Douglas R. Hofstadter2
- Erik Conser2
- Erik van Nimwegen2
- Francisco J. Morales2
- James A. Tanyi2
- Jordan M. Witte2
- Martha Lewis2
- Michael D. Thomure2
- Murray Shanahan2
- Peter Hraber2
All papers
- The debate over understanding in AI’s large language models
Authors: Melanie Mitchell, David C. Krakauer - National Academy of Sciences, Proceedings of the National Academy of Sciences 2023 cited by 294
- An introduction to genetic algorithms
Authors: Melanie Mitchell - The MIT Press eBooks 1996 cited by 11,203
- The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain
Authors: Arsenii Moskvichev, Victor Vikram Odouard, Melanie Mitchell - Trans. Mach. Learn. Res. 2023 cited by 62
- Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks
Authors: Melanie Mitchell, Alessandro B. Palmarini, Arseny Moskvichev - arXiv (Cornell University), CoRR 2023 cited by 55
- Rethink reporting of evaluation results in AI
Authors: Ryan Burnell, Wout Schellaert, John Burden, Tomer Ullman, Fernando Martínez‐Plumed, Joshua B. Tenenbaum, Danaja Rutar, Lucy G. Cheke, Jascha Sohl‐Dickstein, Melanie Mitchell, Douwe Kiela, Murray Shanahan, Ellen M. Voorhees, Anthony G. Cohn, Joel Z. Leibo, José Hernández‐Orallo - Science 2023 cited by 90
- Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models
Authors: Martha Lewis, Melanie Mitchell - CogSci 2024 cited by 37
- Probing the psychology of AI models
Authors: Richard M. Shiffrin, Melanie Mitchell - National Academy of Sciences, Proceedings of the National Academy of Sciences 2023 cited by 67
- Debates on the nature of artificial general intelligence
Authors: Melanie Mitchell - Science 2024 cited by 65
- Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report
Authors: Michael L. Littman, Ifeoma Ajunwa, Guy Berger, Craig Boutilier, Morgan Currie, Finale Doshi-Velez, Gillian K. Hadfield, Michael C. Horowitz, Charles Isbell, Hiroaki Kitano, Karen Levy, Terah Lyons, Melanie Mitchell, Julie Shah, Steven A. Sloman, Shannon Vallor, Toby Walsh - arXiv (Cornell University), CoRR 2022 cited by 142
- How do we know how smart AI systems are?
Authors: Melanie Mitchell - Science 2023 cited by 72
- Evaluating the Robustness of Analogical Reasoning in Large Language Models
Authors: Martha Lewis, Melanie Mitchell - Trans. Mach. Learn. Res. 2024 cited by 25
- Why AI is Harder Than We Think
Authors: Melanie Mitchell - Genetic and Evolutionary Computation Conference, Proceedings of the Genetic and Evolutionary Computation Conference 2021 cited by 32
- Complex systems: Network thinking
Authors: Melanie Mitchell - Artificial Intelligence, Artif. Intell. 2006 cited by 338
- Genetic algorithms: An overview
Authors: Melanie Mitchell - Complexity, Complex. 1995 cited by 233
- Artificial Intelligence: A Guide for Thinking Humans
Authors: Melanie Mitchell - 2019 cited by 163
- Imagining and building wise machines: The centrality of AI metacognition
Authors: Samuel G. B. Johnson, Amir-Hossein Karimi, Yoshua Bengio, Nick Chater, Tobias Gerstenberg, Kate Larson, Sydney Levine, Melanie Mitchell, Iyad Rahwan, Bernhard Schölkopf, Igor Grossmann - Trends in Cognitive Sciences 2026 cited by 15
- AI’s challenge of understanding the world
Authors: Melanie Mitchell - Science 2023 cited by 34
- Artificial Intelligence Hits the Barrier of Meaning
Authors: Melanie Mitchell - Information, Inf. 2019 cited by 80
- Large Language Models and Emergence: A Complex Systems Perspective
Authors: David C. Krakauer, John W. Krakauer, Melanie Mitchell - Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences 2026 cited by 11
- Evolutionary Computation: An Overview
Authors: Melanie Mitchell, Charles Taylor - Annual Review of Ecology and Systematics 1999 cited by 112
- The Turing Test and our shifting conceptions of intelligence
Authors: Melanie Mitchell - Science 2024 cited by 31
- Evaluating Understanding on Conceptual Abstraction Benchmarks
Authors: Victor Vikram Odouard, Melanie Mitchell - EBeM@IJCAI 2022 cited by 17
- Revisiting the Edge of Chaos: Evolving Cellular Automata to Perform Computations
Authors: Melanie Mitchell, Peter T. Hraber, James P. Crutchfield - Complex Syst. 1993 cited by 399
- Can Large Language Models Generalize Analogy Solving Like Children Can?
Authors: Claire E. Stevenson, Alexandra Pafford, Han L. J. van der Maas, Melanie Mitchell - Transactions of the Association for Computational Linguistics, Trans. Assoc. Comput. Linguistics 2026 cited by 8
