ReviewProceedings of the National Academy of Sciences of the United States of America2022
Information theory: A foundation for complexity science.
Review in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Fundamental limits incorporating logical reasoning into Shannon's information theory.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- The theory of tumor immuno-ecodynamics.Frontiers in immunology · 2026Article
- Information Content and Maximum Entropy of Compartmental Systems in Equilibrium.Entropy (Basel, Switzerland) · 2025Article
- Exploring Overall and Component Complexities via Relative Complexity Change and Interacting Complexity Amplitudes in the Kolmogorov Plane: A Case Study of U.S. Rivers.Entropy (Basel, Switzerland) · 2025Article
- Complications of applying approximate entropy to heart rate variability to locate optimal complexity in children with attention deficit hyperactivity disorder.European journal of applied physiology · 2025Article
- Maximum Entropy-Minimum Residual Model: An Optimum Solution to Comprehensive Evaluation and Multiple Attribute Decision Making.Entropy (Basel, Switzerland) · 2025Article
- Dynamical theory of complex systems with two-way micro-macro causation.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- An Information-Theoretic Method for Identifying Effective Treatments and Policies at the Beginning of a Pandemic.Entropy (Basel, Switzerland) · 2024Article
- mRMEBP: a unified framework for online detection of atrial fibrillation utilizing deep learning.npj biomedical innovations · 2024Article
- Complexity and entropy of natural patterns.PNAS nexus · 2024Article
- Information decomposition in complex systems via machine learning.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Two decades of harnessing standing genetic variation for physiological traits to improve drought tolerance in maize.Journal of experimental botany · 2023Review
- The Entropy of Entropy: Are We Talking about the Same Thing?Entropy (Basel, Switzerland) · 2023Review
- The essence of phase transitions in condensed matter by an information theoretic approach.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Toward a cohesive understanding of ecological complexity.Science advances · 2023Review
Corrections and comments
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Authors and funding
2 authors.
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Abstract
Modeling and inference are central to most areas of science and especially to evolving and complex systems. Critically, the information we have is often uncertain and insufficient, resulting in an underdetermined inference problem; multiple inferences, models, and theories are consistent with available information. Information theory (in particular, the maximum information entropy formalism) provides a way to deal with such complexity. It has been applied to numerous problems, within and across many disciplines, over the last few decades. In this perspective, we review the historical development of this procedure, provide an overview of the many applications of maximum entropy and its extensions to complex systems, and discuss in more detail some recent advances in constructing comprehensive theory based on this inference procedure. We also discuss efforts at the frontier of information-theoretic inference: application to complex dynamic systems with time-varying constraints, such as highly disturbed ecosystems or rapidly changing economies.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.