A pragmatic Bayesian platform for automating scientific induction

Keywords

Artificial intelligence, Machine learning, Computer science, Bayesian inference, Bayesian probability

References

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• A neurocomputational perspectivePaul M. Churchland — 1989
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• Causation, chance, and credenceBrian Skyrms, William Harper — 1988
• The logic of inductionHalina Mortimer — 1988
• Essays on actions and eventsDonald Davidson — 1980
• A statistical view of uncertainty in expert systemsDavid J. Spiegelhalter — 1986
• Eliminative materialism and the propositional attitudesPaul M. Churchland — 1993
• NETL: A System for Representing and Using Real-World KnowledgeScott E. Fahlman — 1979
• An Introduction to Default LogicPhilippe Besnard — 1989
• Factor Analysis: Statistical Methods and Practical IssuesJae-on Kim, Charles W. Mueller — 1978
• Local computations with probabilities on graphical structures and their application to expert systemsSteffen L. Lauritzen, David J. Spiegelhalter — 1990
• Patterns of Discovery.Antony Flew, Norwood Russell Hanson — 1961
• Ways of WorldmakingNelson Goodman — 1978
• The Prevision of a PrevisionMichael Goldstein — 1983
• Individualism and the MentalTyler Burge — 1979

Cited by

• Bayesian Informal Logic and FallacyKevin B. Korb — 2004
• Inductive learning and defeasible inferenceKevin B. Korb — 1995
• Introduction: Machine Learning as Philosophy of ScienceKevin B. Korb — 2004
• Research Writing in Computer ScienceK. Korb — 1998
• A Bayesian Approach to the Validation of Agent-Based ModelsK. Korb, N. Geard, A. Dorin — 2013
• Probabilistic Causal StructureK. Korb — 1999

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