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Jun Otsuka

Biographic Data

ID460832
NAMEJun Otsuka
GIVEN NAMESJun
FAMILY NAMEOtsuka
SIGNATUREOTSUKA J
AFFILIATIONSUniversity of California, Davis
ORCID0000-0003-4774-9740
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS16
AUTHOR COUNT7
EDITOR COUNT0
FIRST PUBLICATION YEAR2011
LATEST PUBLICATION YEAR2025
H-INDEX2
  • Modeling causal processes

    Open Access•Jun Otsuka, T Hayashi et al.•ARTICLE•Synthese•2025•References: 21

  • A Categorical Solution to the Grue Paradox

    Tatsuya Yoshii, Jun Otsuka•ARTICLE•The British Journal for the…•2024•References: 16

  • Thinking About Statistics: The Philosophical Foundations

    Jun Otsuka•BOOK•Thinking About Statistics•2022

    Simply stated, this book bridges the gap between statistics and philosophy. It does this by delineating the conceptual cores of various statistical methodologies (Bayesian/frequentist statistics, model selection, machine learning, causal inference, etc.) and drawing out their philosophical implications. Portraying statistical inference as an epistemic endeavor to justify hypotheses about a probabilistic model of a given empirical problem, the boo…

  • Species as Models

    Open Access•Jun Otsuka•ARTICLE•Philosophy of Science•2019•Cited by: 2•References: 7

    This article characterizes various species concepts in terms of set-theoretic models that license biological inferences and illustrates the logical connections among different species concepts. Species in this construal are abstract models, rather than biological or even tangible entities, and relate to individual organisms via representation, rather than the membership or mereological whole/part relationship. The proposal sheds new light on vexe…

  • The Causal Homology Concept

    Open Access•Jun Otsuka•ARTICLE•Philosophy of Science•2017•Cited by: 2•References: 17

    I propose a new account of homology, according to which homology is a correspondence of developmental mechanisms due to common ancestry, formally defined as an isomorphism of causal graphs over lineages. The semiformal definition highlights the role of homology as a higher-order principle unifying evolutionary models and also provides definite meanings to concepts like constraints, evolvability, and novelty. The novel interpretation of homology s…

  • Causal Foundations of Evolutionary Genetics

    Jun Otsuka•ARTICLE•The British Journal for the…•2016•Cited by: 6•References: 32

    The causal nature of evolution is one of the central topics in the philosophy of biology. The issue concerns whether equations used in evolutionary genetics point to some causal processes or purely phenomenological patterns. To address this question the present article builds well-defined causal models that underlie standard equations in evolutionary genetics. These models are based on minimal and biologically plausible hypotheses about selection…

  • Why the Causal View of Fitness Survives

    Open Access•Jun Otsuka, Trin Turner et al.•ARTICLE•Philosophy of Science•2011•Cited by: 6•References: 16

    We critically examine Denis Walsh's latest attack on the causalist view of fitness. Relying on Judea Pearl's Sure-Thing Principle and geneticist John Gillespie's model for fitness, Walsh has argued that the causal interpretation of fitness results in a reductio. We show that his conclusion only follows from misuse of the models, that is, (1) the disregard of the real biological bearing of the population-size parameter in Gillespie's model and (2)…

  • Causal Foundations of Evolutionary Genetics

    Jun Otsuka•ARTICLE•The British Journal for the…•2016•Cited by: 6•References: 32

    The causal nature of evolution is one of the central topics in the philosophy of biology. The issue concerns whether equations used in evolutionary genetics point to some causal processes or purely phenomenological patterns. To address this question the present article builds well-defined causal models that underlie standard equations in evolutionary genetics. These models are based on minimal and biologically plausible hypotheses about selection…

  • Why the Causal View of Fitness Survives

    Open Access•Jun Otsuka, Trin Turner et al.•ARTICLE•Philosophy of Science•2011•Cited by: 6•References: 16

    We critically examine Denis Walsh's latest attack on the causalist view of fitness. Relying on Judea Pearl's Sure-Thing Principle and geneticist John Gillespie's model for fitness, Walsh has argued that the causal interpretation of fitness results in a reductio. We show that his conclusion only follows from misuse of the models, that is, (1) the disregard of the real biological bearing of the population-size parameter in Gillespie's model and (2)…

  • Species as Models

    Open Access•Jun Otsuka•ARTICLE•Philosophy of Science•2019•Cited by: 2•References: 7

    This article characterizes various species concepts in terms of set-theoretic models that license biological inferences and illustrates the logical connections among different species concepts. Species in this construal are abstract models, rather than biological or even tangible entities, and relate to individual organisms via representation, rather than the membership or mereological whole/part relationship. The proposal sheds new light on vexe…

  • The Causal Homology Concept

    Open Access•Jun Otsuka•ARTICLE•Philosophy of Science•2017•Cited by: 2•References: 17

    I propose a new account of homology, according to which homology is a correspondence of developmental mechanisms due to common ancestry, formally defined as an isomorphism of causal graphs over lineages. The semiformal definition highlights the role of homology as a higher-order principle unifying evolutionary models and also provides definite meanings to concepts like constraints, evolvability, and novelty. The novel interpretation of homology s…

  • Why the Causal View of Fitness Survives

    Open Access•Jun Otsuka, Trin Turner et al.•ARTICLE•Philosophy of Science•2011•Cited by: 6•References: 16

    We critically examine Denis Walsh's latest attack on the causalist view of fitness. Relying on Judea Pearl's Sure-Thing Principle and geneticist John Gillespie's model for fitness, Walsh has argued that the causal interpretation of fitness results in a reductio. We show that his conclusion only follows from misuse of the models, that is, (1) the disregard of the real biological bearing of the population-size parameter in Gillespie's model and (2)…

  • Causal Foundations of Evolutionary Genetics

    Jun Otsuka•ARTICLE•The British Journal for the…•2016•Cited by: 6•References: 32

    The causal nature of evolution is one of the central topics in the philosophy of biology. The issue concerns whether equations used in evolutionary genetics point to some causal processes or purely phenomenological patterns. To address this question the present article builds well-defined causal models that underlie standard equations in evolutionary genetics. These models are based on minimal and biologically plausible hypotheses about selection…

  • The Causal Homology Concept

    Open Access•Jun Otsuka•ARTICLE•Philosophy of Science•2017•Cited by: 2•References: 17

    I propose a new account of homology, according to which homology is a correspondence of developmental mechanisms due to common ancestry, formally defined as an isomorphism of causal graphs over lineages. The semiformal definition highlights the role of homology as a higher-order principle unifying evolutionary models and also provides definite meanings to concepts like constraints, evolvability, and novelty. The novel interpretation of homology s…

  • Species as Models

    Open Access•Jun Otsuka•ARTICLE•Philosophy of Science•2019•Cited by: 2•References: 7

    This article characterizes various species concepts in terms of set-theoretic models that license biological inferences and illustrates the logical connections among different species concepts. Species in this construal are abstract models, rather than biological or even tangible entities, and relate to individual organisms via representation, rather than the membership or mereological whole/part relationship. The proposal sheds new light on vexe…

  • Thinking About Statistics: The Philosophical Foundations

    Jun Otsuka•BOOK•Thinking About Statistics•2022

    Simply stated, this book bridges the gap between statistics and philosophy. It does this by delineating the conceptual cores of various statistical methodologies (Bayesian/frequentist statistics, model selection, machine learning, causal inference, etc.) and drawing out their philosophical implications. Portraying statistical inference as an epistemic endeavor to justify hypotheses about a probabilistic model of a given empirical problem, the boo…

  • A Categorical Solution to the Grue Paradox

    Tatsuya Yoshii, Jun Otsuka•ARTICLE•The British Journal for the…•2024•References: 16

  • Modeling causal processes

    Open Access•Jun Otsuka, T Hayashi et al.•ARTICLE•Synthese•2025•References: 21

Computer Science (6 works) · Epistemology (6 works) · Philosophy (6 works) · Philosophy and History of Science (6 works) · Biology (3 works) · Sociology (3 works) · Artificial Intelligence (2 works) · Biomedical Text Mining and Ontologies (2 works) · Evolution and Genetic Dynamics (2 works) · Evolutionary biology (2 works)

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