David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
International Studies in the Philosophy of Science 8 (1):5 – 29 (1994)
Abstract Theories of induction in psychology and artificial intelligence assume that the process leads from observation and knowledge to the formulation of linguistic conjectures. This paper proposes instead that the process yields mental models of phenomena. It uses this hypothesis to distinguish between deduction, induction, and creative forms of thought. It shows how models could underlie inductions about specific matters. In the domain of linguistic conjectures, there are many possible inductive generalizations of a conjecture. In the domain of models, however, generalization calls for only a single operation: the addition of information to a model. If the information to be added is inconsistent with the model, then it eliminates the model as false: this operation suffices for all generalizations in a Boolean domain. Otherwise, the information that is added may have effects equivalent (a) to the replacement of an existential quantifier by a universal quantifier, or (b) to the promotion of an existential quantifier from inside to outside the scope of a universal quantifier. The latter operation is novel, and does not seem to have been used in any linguistic theory of induction. Finally, the paper describes a set of constraints on human induction, and outlines the evidence in favor of a model theory of induction
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
Allen Newell (1990). Unified Theories of Cognition. Harvard University Press.
Daniel Kahneman, Paul Slovic & Amos Tversky (eds.) (1982). Judgment Under Uncertainty: Heuristics and Biases. Cambridge University Press.
George Boolos, John Burgess, Richard P. & C. Jeffrey (2007). Computability and Logic. Cambridge University Press.
Karl R. Popper (1972). Objective Knowledge. Oxford,Clarendon Press.
P. N. Johnson-Laird & Ruth M. J. Byrne (1991). Deduction. Monograph Collection (Matt - Pseudo).
Citations of this work BETA
Nenad Miščević (1996). Should Reason Be Fragmented? International Studies in the Philosophy of Science 10 (1):23-36.
Bruno G. Bara (1994). Developing Induction. International Studies in the Philosophy of Science 8 (1):31 – 34.
Similar books and articles
Peter Gärdenfors (1990). Induction, Conceptual Spaces and AI. Philosophy of Science 57 (1):78-95.
John D. Norton (2013). A Material Dissolution of the Problem of Induction. Synthese 191 (4):1-20.
Yiannis N. Moschovakis (1974). Elementary Induction on Abstract Structures. Dover Publications.
Alessandro Berarducci & Margarita Otero (1996). A Recursive Nonstandard Model of Normal Open Induction. Journal of Symbolic Logic 61 (4):1228-1241.
Bruno G. Bara & Monica Bucciarelli (2000). Deduction and Induction: Reasoning Through Mental Models. [REVIEW] Mind and Society 1 (1):95-107.
Michael Mytilinaios (1989). Finite Injury and ∑1-Induction. Journal of Symbolic Logic 54 (1):38 - 49.
Margarita Otero (1990). On Diophantine Equations Solvable in Models of Open Induction. Journal of Symbolic Logic 55 (2):779-786.
Kenneth McAloon (1982). On the Complexity of Models of Arithmetic. Journal of Symbolic Logic 47 (2):403-415.
David W. Green (1994). Induction: Representation, Strategy and Argument. International Studies in the Philosophy of Science 8 (1):45 – 50.
Added to index2009-02-01
Total downloads7 ( #441,289 of 1,911,917 )
Recent downloads (6 months)1 ( #459,829 of 1,911,917 )
How can I increase my downloads?