Copycat: A computer model of high-level perception and conceptual slippage in analogy making. - Melanie Mitchell (1990)

The Performance of Genetic Algorithms on Walsh Polynomials: Some Anomalous Results and Their Explanation. - Stephanie Forrest; Melanie Mitchell (ICGA, 1991)

Relative Building-Block Fitness and the Building Block Hypothesis. - Stephanie Forrest; Melanie Mitchell (FOGA, 1992)

Analogy-making as perception - a computer model. - Melanie Mitchell (MIT Press, 1993)

When Will a Genetic Algorithm Outperform Hill Climbing? - Melanie Mitchell; John H. Holland (ICGA, 1993)

When will a Genetic Algorithm Outperform Hill Climbing. - Melanie Mitchell; John H. Holland; Stephanie Forrest (NIPS, 1993)

Revisiting the Edge of Chaos: Evolving Cellular Automata to Perform Computations. - Melanie Mitchell; Peter T. Hraber; James P. Crutchfield (Complex Syst., 1993)

What Makes a Problem Hard for a Genetic Algorithm? Some Anomalous Results and Their Explanation. - Stephanie Forrest; Melanie Mitchell (Mach. Learn., 1993)

A Genetic Algorithm Discovers Particle-Based Computation in Cellular Automata. - Rajarshi Das; Melanie Mitchell; James P. Crutchfield (PPSN, 1994)

Genetic Algorithms and Artificial Life. - Melanie Mitchell; Stephanie Forrest (Artif. Life, 1994)

Evolving Globally Synchronized Cellular Automata. - Rajarshi Das; James P. Crutchfield; Melanie Mitchell; James E. Hanson (ICGA, 1995)

Genetic algorithms: An overview. - Melanie Mitchell (Complex., 1995)

Darwin's dangerous idea. - Melanie Mitchell (Complex., 1996)

An introduction to genetic algorithms. - Melanie Mitchell (MIT Press, 1998)

Mechanisms of Emergent Computation in Cellular Automata. - Wim Hordijk; James P. Crutchfield; Melanie Mitchell (PPSN, 1998)

Handbook of Genetic Algorithms (L. D. Davis). - Melanie Mitchell (Artif. Intell., 1998)

Can evolution explain how the mind works? A review of the evolutionary psychology debates. - Melanie Mitchell (Complex., 1999)

Statistical Dynamics of the Royal Road Genetic Algorithm. - Erik van Nimwegen; James P. Crutchfield; Melanie Mitchell (Theor. Comput. Sci., 1999)

Resource sharing and coevolution in evolving cellular automata. - Justin Werfel; Melanie Mitchell; James P. Crutchfield (IEEE Trans. Evol. Comput., 2000)

Evolving two-dimensional cellular automata to perform density classification: A report on work in progress. - Francisco Jiménez-Morales; James P. Crutchfield; Melanie Mitchell (Parallel Comput., 2001)

Evolving One Dimensional Cellular Automata to Perform Non-trivial Collective Behavior Task: One Case Study. - Francisco Jiménez-Morales; Melanie Mitchell; James P. Crutchfield (International Conference on Computational Science (1), 2002)

A Comparison of Evolutionary and Coevolutionary Search. - Ludo Pagie; Melanie Mitchell (Int. J. Comput. Intell. Appl., 2002)

Computation in Cellular Automata: A Selected Review. - Melanie Mitchell (Non-standard Computation, 2005)

Investigating the success of spatial coevolution. - Nathan Williams; Melanie Mitchell (GECCO, 2005)

Self-awareness and control in decentralized systems. - Melanie Mitchell (AAAI Spring Symposium: Metacognition in Computation, 2005)

Segmentation of medical images using a genetic algorithm. - Payel Ghosh; Melanie Mitchell (GECCO, 2006)

Complex systems: Network thinking. - Melanie Mitchell (Artif. Intell., 2006)

Combinatorial Shape Decomposition. - Ralf Juengling; Melanie Mitchell (ISVC (2), 2007)

Prostate segmentation on pelvic CT images using a genetic algorithm. - Payel Ghosh; Melanie Mitchell (Image Processing, 2008)

The Role of Conceptual Structure in Designing Cellular Automata to Perform Collective Computation. - Manuel Marques-Pita; Melanie Mitchell; Luis M. Rocha (UC, 2008)

Complexity - A Guided Tour. - Melanie Mitchell (Oxford University Press, 2009)

Evolving Cellular Automata. - Martin Cenek; Melanie Mitchell (Encyclopedia of Complexity and Systems Science, 2009)

Automatic Segmentation of the Prostate Using a Genetic Algorithm for Prostate Cancer Treatment Planning. - Melanie Mitchell; James A. Tanyi; Arthur Y. Hung (ICMLA, 2010)

LSGA: combining level-sets and genetic algorithms for segmentation. - Payel Ghosh; Melanie Mitchell; Judith Gold (Evol. Intell., 2010)

Ubiquity symposium: Biological Computation. - Melanie Mitchell (Ubiquity, 2011)

Biological Computation. - Melanie Mitchell (Comput. J., 2012)

Interpreting individual classifications of hierarchical networks. - Will Landecker; Michael D. Thomure; Luís M. A. Bettencourt; Melanie Mitchell; Garrett T. Kenyon; Steven P. Brumby (CIDM, 2013)

On the role of shape prototypes in hierarchical models of vision. - Michael D. Thomure; Melanie Mitchell; Garrett T. Kenyon (IJCNN, 2013)

Adaptive computation: the multidisciplinary legacy of John H. Holland. - Stephanie Forrest; Melanie Mitchell (Commun. ACM, 2016)

Active Object Localization in Visual Situations. - Max H. Quinn; Anthony D. Rhodes; Melanie Mitchell (CoRR, 2016)

Incorporating priors for medical image segmentation using a genetic algorithm. - Payel Ghosh; Melanie Mitchell; James A. Tanyi; Arthur Y. Hung (Neurocomputing, 2016)

Active Interpretation of Visual Situations. - Melanie Mitchell (AAAI Spring Symposia, 2017)

Fast on-line kernel density estimation for active object localization. - Anthony D. Rhodes; Max H. Quinn; Melanie Mitchell (IJCNN, 2017)

Bayesian optimization for refining object proposals. - Anthony D. Rhodes; Jordan Witte; Bruno Jedynak; Melanie Mitchell (IPTA, 2017)

Sparse Coding on Stereo Video for Object Detection. - Sheng Y. Lundquist; Melanie Mitchell; Garrett T. Kenyon (CoRR, 2017)

Gaussian Processes with Context-Supported Priors for Active Object Localization. - Anthony D. Rhodes; Jordan Witte; Melanie Mitchell; Bruno Jedynak (IJCNN, 2018)

Semantic Image Retrieval via Active Grounding of Visual Situations. - Max H. Quinn; Erik Conser; Jordan M. Witte; Melanie Mitchell (ICSC, 2018)

An Interview-Based Study of Pioneering Experiences in Teaching and Learning Complex Systems in Higher Education. - Joseph T. Lizier; Michael Harré; Melanie Mitchell; Simon DeDeo; Conor Finn; Kristian Lindgren; Amanda Lizier; Hiroki Sayama (Complex., 2018)

Revisiting Visual Grounding. - Erik Conser; Kennedy Hahn; Chandler M. Watson; Melanie Mitchell (CoRR, 2019)

Artificial Intelligence Hits the Barrier of Meaning. - Melanie Mitchell (Inf., 2019)

Conceptual Abstraction and Analogy in Artificial Intelligence. - Melanie Mitchell (ALIFE, 2020)

On Crashing the Barrier of Meaning in Artificial Intelligence. - Melanie Mitchell (AI Mag., 2020)

Next Wave Artificial Intelligence: Robust, Explainable, Adaptable, Ethical, and Accountable. - Odest Chadwicke Jenkins; Daniel Lopresti; Melanie Mitchell (CoRR, 2020)

A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks. - Jacob M. Springer; Melanie Mitchell; Garrett T. Kenyon (NeurIPS, 2021)

Adversarial Perturbations Are Not So Weird: Entanglement of Robust and Non-Robust Features in Neural Network Classifiers. - Jacob M. Springer; Melanie Mitchell; Garrett T. Kenyon (CoRR, 2021)

Abstraction and Analogy-Making in Artificial Intelligence. - Melanie Mitchell (CoRR, 2021)

Why AI is Harder Than We Think. - Melanie Mitchell (CoRR, 2021)

Foundations of Intelligence in Natural and Artificial Systems: A Workshop Report. - Tyler Millhouse; Melanie Moses; Melanie Mitchell (CoRR, 2021)

A Little Robustness Goes a Long Way: Leveraging Universal Features for Targeted Transfer Attacks. - Jacob M. Springer; Melanie Mitchell; Garrett T. Kenyon (CoRR, 2021)

Frontiers in Evolutionary Computation: A Workshop Report. - Tyler Millhouse; Melanie Moses; Melanie Mitchell (CoRR, 2021)

Frontiers in Collective Intelligence: A Workshop Report. - Tyler Millhouse; Melanie Moses; Melanie Mitchell (CoRR, 2021)

Evaluating Understanding on Conceptual Abstraction Benchmarks. - Victor Vikram Odouard; Melanie Mitchell (EBeM@IJCAI, 2022)

Abstraction for Deep Reinforcement Learning. - Murray Shanahan; Melanie Mitchell (IJCAI, 2022)

Embodied, Situated, and Grounded Intelligence: Implications for AI. - Tyler Millhouse; Melanie Moses; Melanie Mitchell (CoRR, 2022)

The Debate Over Understanding in AI's Large Language Models. - Melanie Mitchell; David C. Krakauer (CoRR, 2022)

Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report. - 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; et al. (CoRR, 2022)

Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks. - Melanie Mitchell; Alessandro B. Palmarini; Arseny Moskvichev (CoRR, 2023)

Perspectives on the State and Future of Deep Learning - 2023. - Micah Goldblum; Anima Anandkumar; Richard G. Baraniuk; Tom Goldstein; Kyunghyun Cho; Zachary C. Lipton; Melanie Mitchell; Preetum Nakkiran; Max Welling; Andrew Gordon Wilson (CoRR, 2023)

The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain. - Arsenii Moskvichev; Victor Vikram Odouard; Melanie Mitchell (Trans. Mach. Learn. Res., 2023)

Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models. - Martha Lewis; Melanie Mitchell (CoRR, 2024)

Can Large Language Models generalize analogy solving like people can? - Claire E. Stevenson; Alexandra Pafford; Han L. J. van der Maas; Melanie Mitchell (CoRR, 2024)

Imagining and building wise machines: The centrality of AI metacognition. - 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 (CoRR, 2024)

Evaluating the Robustness of Analogical Reasoning in Large Language Models. - Martha Lewis; Melanie Mitchell (Trans. Mach. Learn. Res., 2025)

Large Language Models and Emergence: A Complex Systems Perspective. - David C. Krakauer; John W. Krakauer; Melanie Mitchell (CoRR, 2025)