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Understanding from Machine Learning Models
8 references·16 citing·46 second hop
Understanding from Machine Learning Models (2019)Understanding from Machine Learning ModelsUnderstanding Scientific Understanding (2017)Understanding Scientific Unde…Minimal Model Explanations (2014)Minimal Model ExplanationsMISSing the World. Models as Isolations and Credible Surrogate Systems (2009)MISSing the World. Models as …Depth: an account of scientific explanation (2009)Depth: an account of scientif…The philosophical novelty of computer simulation methods (2008)The philosophical novelty of …Extending ourselves: computational science, empiricism, and scientific method (2005)Extending ourselves: computat…Explanation and Understanding (2005)Explanation and UnderstandingInductive Risk and Values in Science (2000)Inductive Risk and Values in …The Brain Abstracted (2024)The Brain AbstractedReliability in Machine Learning (2024)Reliability in Machine Learni…Reclaiming AI as a Theoretical Tool for Cognitive Science (2024)Reclaiming AI as a Theoretica…From Deep Learning to Rational Machines (2023)From Deep Learning to Rationa…Deep Learning Opacity in Scientific Discovery (2023)Deep Learning Opacity in Scie…Algorithmic Fairness in AI (2023)Algorithmic Fairness in AIThe Importance of Understanding Deep Learning (2022)The Importance of Understandi…On The Philosophy of Unsupervised Learning (2022)On The Philosophy of Unsuperv…Instruments, agents, and artificial intelligence: novel epistemic categories of reliability (2022)Instruments, agents, and arti…Inductive Risk, Understanding, and Opaque Machine Learning Models (2022)Inductive Risk, Understanding…The proper role of history in evolutionary explanations (2021)The proper role of history in…Big Data (2021)Big DataUnderstanding climate phenomena with data-driven models (2020)Understanding climate phenome…On Predicting Recidivism: Epistemic Risk, Tradeoffs, and Values in Machine Learning (2020)On Predicting Recidivism: Epi…Humanistic interpretation and machine learning (2020)Humanistic interpretation and…A Puzzle concerning Compositionality in Machines (2020)A Puzzle concerning Compositi…How the Laws of Physics Lie (1983)How the Laws of Physics Lie (1983)Scientific Explanation and the Causal Structure of the World (1985)Understanding, Explanation, and Scientific Knowledge (2017)Are More Details Better? On the Norms of Completeness for Mechanistic Explanations (2018)Mechanisms in Science (2019)Model-Based Reasoning in Scientific Discovery (1999)Models as Mediators (1999)Credible worlds: the status of theoretical models in economics (2000)Learning from Minimal Economic Models (2008)Credible Worlds, Capacities and Mechanisms (2009)Models and the locus of their truth (2009)The Scientific Image (1980)The Scientific Image. (1982)Der logische Aufbau der Welt (1998)Grounds for Trust: Essential Epistemic Opacity and Computational Reliabilism (2018)Transparency in Complex Computational Systems (2020)AI as an Epistemic Technology (2023)Aspects of Scientific Explanation and Other Essays in the Philosophy of Science. (1966)The Essential Tension (1977)Science as Social Knowledge (1990)Bias and values in scientific research (2009)Epistemic Trust in Science (2012)In defence of the value free ideal (2013)An Inquiry into the Nature and Causes of the Wealth of Nations (1776)The psychology of interpersonal relations. (1958)Judgment under Uncertainty: Heuristics and Biases (1975)Dissecting the social on the principles of analytical sociology (2005)Peirce's Theory of Signs (2007)Does discovery-based instruction enhance learning? (2010)The Principles of Psychology (1891)The varieties of religious experience: A study in human nature. (1902)Minds, brains, and programs (1980)Psychology (2026)I.—COMPUTING MACHINERY AND INTELLIGENCE (1950)Connectionism and cognitive architecture: A critical analysis (1988)The cognitive revolution: a historical perspective (2003)Beyond Preferences in AI Alignment (2024)The impacts of AI futurism: an unfiltered look at AI's true effects on the climate crisis (2024)A cognitive approach to human–AI complementarity in dynamic decision-making (2025)Modelling Nature: An Opinionated Introduction to Scientific Representation (2020)RECENT WORK IN THE EPISTEMOLOGY OF UNDERSTANDING (2021)Modelling and representing: An artefactual approach to model-based representation (2011)Neural Computation and the Computational Theory of Cognition (2012)No understanding without explanation (2013)Epistemologies in practice: Making scientific practices meaningful for students (2015)
this work references cited by second hop

References

  • 2005Explanation and Understanding1,340 cited
  • 2000Inductive Risk and Values in Science878 cited
  • 2005Extending ourselves: computational science, empiricism, and scientific method487 cited
  • 2017Understanding Scientific Understanding477 cited
  • 2009Depth: an account of scientific explanation429 cited
  • 2008The philosophical novelty of computer simulation methods362 cited
  • 2014Minimal Model Explanations314 cited
  • 2009MISSing the World. Models as Isolations and Credible Surrogate Systems276 cited

Cited by

  • 2024Reclaiming AI as a Theoretical Tool for Cognitive Science97 cited
  • 2024The Brain Abstracted79 cited
  • 2020On Predicting Recidivism: Epistemic Risk, Tradeoffs, and Values in Machine Learning66 cited
  • 2023Algorithmic Fairness in AI56 cited
  • 2023Deep Learning Opacity in Scientific Discovery54 cited
  • 2020Understanding climate phenomena with data-driven models53 cited
  • 2023From Deep Learning to Rational Machines49 cited
  • 2022The Importance of Understanding Deep Learning

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46 cited
  • 2022On The Philosophy of Unsupervised Learning43 cited
  • 2020Humanistic interpretation and machine learning36 cited
  • 2024Reliability in Machine Learning33 cited
  • 2021Big Data32 cited
  • 2022Inductive Risk, Understanding, and Opaque Machine Learning Models29 cited
  • 2022Instruments, agents, and artificial intelligence: novel epistemic categories of reliability28 cited
  • 2020A Puzzle concerning Compositionality in Machines26 cited
  • 2021The proper role of history in evolutionary explanations24 cited