ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2023
The future of theoretical evolutionary game theory.
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed.
- Evolution of noisy learning in games.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Evolutionary path from a prisoner's dilemma to a harmony game via hawk-dove games.Scientific reports · 2026Article
- Evolutionary Kuramoto dynamics unravels origins of chimera states in neural populations.PLoS computational biology · 2026Article
- On the optimal integration of intelligent agents into network systems to steer cooperation.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Efficiency Recalibrates Social-Emotional Trade-Offs Behind Partner Choice in Direct Reciprocity through Intention-Specific Neural Bases.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- A multi-agent reinforcement learning framework for exploring dominant strategies in iterated and evolutionary games.Nature communications · 2025Article
- Explainable artificial intelligence for predictive modeling of student stress in higher education.Scientific reports · 2025Article
- Perceptual rationality: an evolutionary game theory of perceptually rational decision-making.Royal Society open science · 2025Article
- Evolutionary game analysis of healthcare data governance in China's experimental data trading pilots.NPJ digital medicine · 2025Article
- Maynard Smith revisited: A multi-agent reinforcement learning approach to the coevolution of signalling behaviour.PLoS computational biology · 2025Article
- Picking strategies in games of cooperation.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Drivers of cooperation in social dilemmas on higher-order networks.Journal of the Royal Society, Interface · 2025Article
- Reconciling ecology and evolutionary game theory or "When not to think cooperation".Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Evolution of indirect reciprocity under emotion expression.Scientific reports · 2025Article
- Ensuring a sustainable supply of aquatic products in the future: research on the promotion and application of deep-sea aquaculture.Frontiers in nutrition · 2025Article
- Article
- Emergence of cooperation in the one-shot Prisoner's dilemma through Discriminatory and Samaritan AIs.Journal of the Royal Society, Interface · 2024Article
- Spontaneous symmetry breaking of cooperation between species.PNAS nexus · 2024Article
- Evolution of reciprocity with limited payoff memory.Proceedings. Biological sciences · 2024Article
- The paradigm of tax-reward and tax-punishment strategies in the advancement of public resource management dynamics.Proceedings. Biological sciences · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Evolutionary game theory is a truly interdisciplinary subject that goes well beyond the limits of biology. Mathematical minds get hooked up in simple models for evolution and often gradually move into other parts of evolutionary biology or ecology. Social scientists realize how much they can learn from evolutionary thinking and gradually transfer insight that was originally generated in biology. Computer scientists can use their algorithms to explore a new field where machines not only learn from the environment, but also from each other. The breadth of the field and the focus on a few very popular issues, such as cooperation, comes at a price: several insights are re-discovered in different fields under different labels with different heroes and modelling traditions. For example, reciprocity or spatial structure are treated differently. Will we continue to develop things in parallel? Or can we converge to a single set of ideas, a single tradition and eventually a single software repository? Or will these fields continue to cross-fertilize each other, learning from each other and engaging in a constructive exchange between fields? Ultimately, the popularity of evolutionary game theory rests not only on its explanatory power, but also on the intuitive character of its models. This article is part of the theme issue 'Half a century of evolutionary games: a synthesis of theory, application and future directions'.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.