Melanie Mitchell

Orcid: 0000-0001-8881-3505

Affiliations:
  • Santa Fe Institutem NM, USA
  • Portland State University, OR, USA


According to our database1, Melanie Mitchell authored at least 70 papers between 1990 and 2024.

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Bibliography

2024
Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models.
CoRR, 2024

2023
The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain.
Trans. Mach. Learn. Res., 2023

Perspectives on the State and Future of Deep Learning - 2023.
CoRR, 2023

Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks.
CoRR, 2023

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

The Debate Over Understanding in AI's Large Language Models.
CoRR, 2022

Embodied, Situated, and Grounded Intelligence: Implications for AI.
CoRR, 2022

Abstraction for Deep Reinforcement Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Evaluating Understanding on Conceptual Abstraction Benchmarks.
Proceedings of the Workshop on AI Evaluation Beyond Metrics co-located with the 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

2021
Frontiers in Collective Intelligence: A Workshop Report.
CoRR, 2021

Frontiers in Evolutionary Computation: A Workshop Report.
CoRR, 2021

A Little Robustness Goes a Long Way: Leveraging Universal Features for Targeted Transfer Attacks.
CoRR, 2021

Foundations of Intelligence in Natural and Artificial Systems: A Workshop Report.
CoRR, 2021

Why AI is Harder Than We Think.
CoRR, 2021

Abstraction and Analogy-Making in Artificial Intelligence.
CoRR, 2021

Adversarial Perturbations Are Not So Weird: Entanglement of Robust and Non-Robust Features in Neural Network Classifiers.
CoRR, 2021

A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Next Wave Artificial Intelligence: Robust, Explainable, Adaptable, Ethical, and Accountable.
CoRR, 2020

On Crashing the Barrier of Meaning in Artificial Intelligence.
AI Mag., 2020

Conceptual Abstraction and Analogy in Artificial Intelligence.
Proceedings of the 2020 Conference on Artificial Life, 2020

2019
Artificial Intelligence Hits the Barrier of Meaning.
Inf., 2019

Revisiting Visual Grounding.
CoRR, 2019

2018
An Interview-Based Study of Pioneering Experiences in Teaching and Learning Complex Systems in Higher Education.
Complex., 2018

Semantic Image Retrieval via Active Grounding of Visual Situations.
Proceedings of the 12th IEEE International Conference on Semantic Computing, 2018

Gaussian Processes with Context-Supported Priors for Active Object Localization.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Sparse Coding on Stereo Video for Object Detection.
CoRR, 2017

Bayesian optimization for refining object proposals.
Proceedings of the Seventh International Conference on Image Processing Theory, 2017

Fast on-line kernel density estimation for active object localization.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Active Interpretation of Visual Situations.
Proceedings of the 2017 AAAI Spring Symposia, 2017

2016
Incorporating priors for medical image segmentation using a genetic algorithm.
Neurocomputing, 2016

Active Object Localization in Visual Situations.
CoRR, 2016

Adaptive computation: the multidisciplinary legacy of John H. Holland.
Commun. ACM, 2016

2013
On the role of shape prototypes in hierarchical models of vision.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Interpreting individual classifications of hierarchical networks.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

2012
Biological Computation.
Comput. J., 2012

2011
Ubiquity symposium: Biological Computation.
Ubiquity, 2011

2010
LSGA: combining level-sets and genetic algorithms for segmentation.
Evol. Intell., 2010

Automatic Segmentation of the Prostate Using a Genetic Algorithm for Prostate Cancer Treatment Planning.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009
Evolving Cellular Automata.
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

Complexity - A Guided Tour.
Oxford University Press, ISBN: 978-0-19-512441-5, 2009

2008
The Role of Conceptual Structure in Designing Cellular Automata to Perform Collective Computation.
Proceedings of the Unconventional Computing, 7th International Conference, 2008

Prostate segmentation on pelvic CT images using a genetic algorithm.
Proceedings of the Medical Imaging 2008: Image Processing, 2008

2007
Combinatorial Shape Decomposition.
Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

2006
Complex systems: Network thinking.
Artif. Intell., 2006

Segmentation of medical images using a genetic algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

2005
Self-awareness and control in decentralized systems.
Proceedings of the 2005 AAAI Spring Symposium on Metacognition in Computation, 2005

Investigating the success of spatial coevolution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Computation in Cellular Automata: A Selected Review.
Proceedings of the Non-standard Computation, 2005

2002
A Comparison of Evolutionary and Coevolutionary Search.
Int. J. Comput. Intell. Appl., 2002

Evolving One Dimensional Cellular Automata to Perform Non-trivial Collective Behavior Task: One Case Study.
Proceedings of the Computational Science - ICCS 2002, 2002

2001
Evolving two-dimensional cellular automata to perform density classification: A report on work in progress.
Parallel Comput., 2001

2000
Resource sharing and coevolution in evolving cellular automata.
IEEE Trans. Evol. Comput., 2000

1999
Statistical Dynamics of the Royal Road Genetic Algorithm.
Theor. Comput. Sci., 1999

Can evolution explain how the mind works? A review of the evolutionary psychology debates.
Complex., 1999

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

Mechanisms of Emergent Computation in Cellular Automata.
Proceedings of the Parallel Problem Solving from Nature, 1998

An introduction to genetic algorithms.
MIT Press, ISBN: 978-0-262-63185-3, 1998

1996
Darwin's dangerous idea.
Complex., 1996

1995
Genetic algorithms: An overview.
Complex., 1995

Evolving Globally Synchronized Cellular Automata.
Proceedings of the 6th International Conference on Genetic Algorithms, 1995

1994
Genetic Algorithms and Artificial Life.
Artif. Life, 1994

A Genetic Algorithm Discovers Particle-Based Computation in Cellular Automata.
Proceedings of the Parallel Problem Solving from Nature, 1994

1993
What Makes a Problem Hard for a Genetic Algorithm? Some Anomalous Results and Their Explanation.
Mach. Learn., 1993

Revisiting the Edge of Chaos: Evolving Cellular Automata to Perform Computations.
Complex Syst., 1993

When will a Genetic Algorithm Outperform Hill Climbing.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

When Will a Genetic Algorithm Outperform Hill Climbing?
Proceedings of the 5th International Conference on Genetic Algorithms, 1993

Analogy-making as perception - a computer model.
Neural network modeling and connectionism, MIT Press, ISBN: 978-0-262-13289-3, 1993

1992
Relative Building-Block Fitness and the Building Block Hypothesis.
Proceedings of the Second Workshop on Foundations of Genetic Algorithms. Vail, 1992

1991
The Performance of Genetic Algorithms on Walsh Polynomials: Some Anomalous Results and Their Explanation.
Proceedings of the 4th International Conference on Genetic Algorithms, 1991

1990
Copycat: A computer model of high-level perception and conceptual slippage in analogy making.
PhD thesis, 1990


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