Mitchell, Melanie
Santa Fe Institute
12 papers on CoChatORCID 0000-0001-8881-3505
Most cited papers
- Verified
An Introduction to Genetic Algorithms
Mitchell, M. (1996) · The MIT Press eBooks
Evolutionary Algorithms and ApplicationsMetaheuristic Optimization Algorithms Research
Cited by 11,340
- Verified
Complexity A Guided Tour
Mitchell, M. (2009)
Complex Systems and DynamicsChaos, Complexity, and Education
Cited by 2,310
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The debate over understanding in AI’s large language models
Mitchell, M., & Krakauer, D. C. (2023) · Proceedings of the National Academy of Sciences
Topic ModelingPhilosophy and Theoretical Science
Cited by 340
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Abstraction and analogy‐making in artificial intelligence
Mitchell, M. (2021) · Annals of the New York Academy of Sciences
AI-based Problem Solving and PlanningLogic, Reasoning, and Knowledge
Cited by 125
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Rethink reporting of evaluation results in AI
Burnell, R., Schellaert, W., Burden, J., Ullman, T. D., Martinez-Plumed, F., Tenenbaum, J. B., Rutar, D., Cheke, L. G., Sohl-Dickstein, J., Mitchell, M., et al. (2023) · Science
Ethics and Social Impacts of AIScientific Computing and Data Management
Cited by 104
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The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain
Moskvichev, A., Odouard, V. V., & Mitchell, M. (2023) · arXiv
AI-based Problem Solving and PlanningDomain Adaptation and Few-Shot Learning
Cited by 92
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Artificial Intelligence Hits the Barrier of Meaning
Mitchell, M. (2019) · Information
Artificial Intelligence ApplicationsPsychiatry, Mental Health, Neuroscience
Cited by 80
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Debates on the nature of artificial general intelligence
Mitchell, M. (2024) · Science
Psychiatry, Mental Health, NeuroscienceArtificial Intelligence Applications
Cited by 73
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How do we know how smart AI systems are?
Mitchell, M. (2023) · Science
Artificial Intelligence ApplicationsPsychiatry, Mental Health, Neuroscience
Cited by 71
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Probing the psychology of AI models
Shiffrin, R., & Mitchell, M. (2023) · Proceedings of the National Academy of Sciences
Explainable Artificial Intelligence (XAI)Psychiatry, Mental Health, Neuroscience
Cited by 70
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AI’s challenge of understanding the world
Mitchell, M. (2023) · Science
Autonomous Vehicle Technology and SafetyAdvanced Neural Network Applications
Cited by 35
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Abstraction for Deep Reinforcement Learning
Shanahan, M., & Mitchell, M. (2022) · Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
Reinforcement Learning in RoboticsAI-based Problem Solving and Planning
Cited by 17
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