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Posts by Jun Otsuka

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On April 24, there is an online workshop featuring emerging young philosophers in the Asian region. My PhD student Soto Michida will give a talk entitled "A Deep Learning Perspective on Teleosemantics." He is doing fantastic work. Check it out!
docs.google.com/document/d/1...

1 month ago 2 0 0 0

少ない・・・?コミュ力おばけだと思ってました.

6 months ago 0 0 1 0
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Very nice by Jun Otsuka @junotk.bsky.social and Hayato Saigo: link.springer.com/article/10.1...
about causal interventions/do calculus via string diagram surgery

7 months ago 9 2 0 0
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Statistical Thinking as Philosophy: Essential Readings – Part I. - Crow Intelligence "Philosophy of science without history of science is empty; history of science without philosophy of science is blind." — Imre Lakatos Statistics isn't just a collection of mathematical techniques—it'...

"If you read only one book on the philosophy of statistics, make it this one. Otsuka’s compact yet comprehensive treatment (under 190 pages) provides a uniquely integrated view of the major statistical frameworks that shape modern data science and AI."
crowintelligence.org/2025/03/19/s...

8 months ago 5 0 0 0
Modeling causal processes

A full-text view-only version is here: link.springer.com/epdf/10.1007...

8 months ago 0 0 0 0

Our process causation paper is published in Synthese! We propose that process causation (a la Salmon, Dowe, MDC new mechanists) can be modeled using a category-theoretic framework.
link.springer.com/article/10.1...

8 months ago 13 3 1 1

Thank you for sharing and recommending the book!

8 months ago 0 0 1 0

This is a very good book, and you can read it for free!

8 months ago 2 1 1 0
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The Role of Mathematics in Evolutionary Theory Cambridge Core - Philosophy of Science - The Role of Mathematics in Evolutionary Theory

All titles of Cambridge Elements in the Philosophy of Biology, including mine The Role of Mathematics in Evolutionary Theory, are downloadable for free till the 25th.
www.cambridge.org/core/element...

8 months ago 11 3 0 1
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Thank YOU for the wonderful talk! It was such a pleasure and an honor to have you in the Japanese phil sci community. I hope you enjoy the rest of your stay!

9 months ago 1 0 1 0
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In Sendai where our fantastic host @junotk.bsky.social opens up the meeting of the Japanese Phil of Science Association (ita founding members include physicist Yukawa, I am told) and to these days includes lots of logicians and scientists alike. Excellent opening talk by @terumiyake.bsky.social

10 months ago 13 1 1 1
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Packed day at the Japanese Phil Scie Association with brilliant talks by @junotk.bsky.social on rethinking the ontology associated with statistical models and Hanti Lin on realism and machine learning. Huge thanks to @junotk.bsky.social for stellar organisation and unrivalled hospitality. 💫

9 months ago 10 1 0 0
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It was such a great honor to host Prof. Michela Massimi’s @michelamassimi.bsky.social special lecture at the Japanese Philosophy of Science Association. Her talk was truly inspiring for thinking about a more human-centered form of science—something much needed today.

9 months ago 9 1 1 0

A real joy to visit Taipei and to meet in person the incredible community of philosophers of science in South East Asia as well as hanging around with my old friend @sabinaleonelli.bsky.social and new colleagues too. Huge thanks to Karen Yan our wonderful host here 💫

10 months ago 7 1 0 0
Methodological legacy: microcinematography combined with quantitative measurement. Conceptual legacy: contact inhibition of locomotion. Applicability and fecundity: neural crest cell migration, neuronal cell dispersion, and cancer invasion

Methodological legacy: microcinematography combined with quantitative measurement. Conceptual legacy: contact inhibition of locomotion. Applicability and fecundity: neural crest cell migration, neuronal cell dispersion, and cancer invasion

New article! Alan Love @mcps-philsci.bsky.social & I reflect on methodological & conceptual legacies of M. Abercrombie: quantitative measurement of cell behavior & concept of contact inhibition of locomotion. Published in @devbiol.bsky.social eur03.safelinks.protection.outlook.com?url=https%3A...

10 months ago 12 7 1 0

This perspective leads to rich and intriguing implications—for example, the importance of diversity in science, and Kuhnian paradigm shifts as phase transitions in Bayesian updating with singular models.
I really enjoyed working on this project with such an inspiring team of scientists! (3/n, n=3)

10 months ago 1 0 0 0

The central idea is that the scientific community can be viewed as a Metropolis–Hastings algorithm that approximates the posterior probability. (2/n)

10 months ago 1 0 1 0
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Collective predictive coding as model of science: formalizing scientific activities towards generative science | Royal Society Open Science This article proposes a new conceptual framework called collective predictive coding as a model of science (CPC-MS) to formalize and understand scientific activities. Building on the idea of CPC originally developed to explain symbol emergence, CPC-MS ...

New paper out in Royal Society Open Science!
In this paper, we propose a novel Bayesian framework to model scientific practice as a whole, based on Taniguchi's theory of Collective Predictive Coding. (1/n)
royalsocietypublishing.org/doi/10.1098/...

10 months ago 34 8 1 0

Thanks for sharing!

10 months ago 0 0 0 0

Co-authored with my students Tomoyuki Hayashi & Tatsuya Yoshii, and my colleague Hayato Saigo. Forthcoming in Synthese!

11 months ago 1 0 0 0
Modeling Causal Processes - PhilSci-Archive

New preprint out! We use string diagrams to quantitatively model process causality (à la Salmon) and tackle issues like the Principle of Common Cause, explanatory irrelevance, and more—turns out process causation might be cooler than you thought.
philsci-archive.pitt.edu/25367/

11 months ago 18 4 1 1
The title page of the article: "Mechanisms and Principles: Two Approaches to Scientific Generalization," just published in European Journal for Philosophy of Science

The title page of the article: "Mechanisms and Principles: Two Approaches to Scientific Generalization," just published in European Journal for Philosophy of Science

Officially published in EJPS! Alan Love @mcps-philsci.bsky.social and I discuss two forms of generalization: evolutionarily conserved mechanisms involving specific types of entities and abstract principles that are instantiated by heterogeneous entities #philsci link.springer.com/article/10.1...

11 months ago 15 4 1 1
Précis of Thinking About Statistics

Précis of Thinking About Statistics
rdcu.be/edlaK

URL to the article: link.springer.com/article/10.1...

1 year ago 4 0 0 0
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Seeking Research Associates at RIKEN Center for Advanced Intelligence Project (W24325)

www.riken.jp/en/careers/r...

1 year ago 4 2 0 0

I'm so grateful to the reviewers for their thoughtful critiques and to the editor, Masashi Kasaki, for this great opportunity!

1 year ago 0 0 0 0
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Replies to critics - Asian Journal of Philosophy This is the author’s reply to the critics in the book symposium on Thinking about Statistics: The Philosophical Foundations (Routledge 2023).

My replies: link.springer.com/article/10.1...

1 year ago 1 0 1 0
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Causal inference and inter-world laws - Asian Journal of Philosophy Jun Otsuka, in his recent work Thinking About Statistics (2023), undertakes a philosophical investigation of fundamental statistical methodologies, with a particular emphasis on causal inference. In h...

Tung-Ying Wu: link.springer.com/article/10.1...

1 year ago 0 0 1 0
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Internalist reliabilism in statistics and machine learning: thoughts on Jun Otsuka’s Thinking about Statistics - Asian Journal of Philosophy Otsuka (2023) argues for a correspondence between data science and traditional epistemology: Bayesian statistics is internalist; classical (frequentist) statistics is externalist, owing to its reliabi...

Hanti Lin: link.springer.com/article/10.1...

1 year ago 0 0 1 0
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Justification and update - Asian Journal of Philosophy In this commentary on Jun Otsuka’s first-rate book, we focus on the difference between justification and update.

Jeanne Peijnenburg & David Atkinson: link.springer.com/article/10.1...

1 year ago 0 0 1 0
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Thoughts on Jun Otsuka’s Thinking about Statistics – the Philosphical Foundations - Asian Journal of Philosophy Jun Otsuka’s excellent book, Thinking about Statistics - the Philosophical Foundations (Otsuka 2023) is mostly organized around the idea that different statistical approaches can be illuminated by lin...

Elliott Sober: link.springer.com/article/10.1...

1 year ago 0 0 1 0