Deduction and induction: Reasoning through mental models
Rent the article at a discountRent now
* Final gross prices may vary according to local VAT.Get Access
In this paper we deal with two types of reasoning: induction, and deduction First, we present a unified computational model of deductive reasoning through models, where deduction occurs in five phases: Construction, Integration, Conclusion, Falsification, and Response. Second, we make an attempt, to analyze induction through the same phases. Our aim is an explorative evaluation of the mental processes possibly shared by deductive and inductive reasoning.
- Bara B., Bucciarelli M., Lombardo, V. (1999), Model Theory of Deduction: A unified computational approach,Cognitive Science, in press.
- Bar-Hillel, Y., Carnap, R. An outline of a theory of semantic information. In: Bar-Hillel, Y. eds. (1964) Language and information. Addison-Wesley, Reading
- Bell, V.A. & Johnson-Laird, P.N. (1998) A model theory of modal reasoning,Cognitive Science, in press.
- Braine, M. The “natural logic”, approach to reasoning. In: Overton, W.F. eds. (1990) Reasoning, Necessity, and Logic. Lawrence Erlbaum Associates, Hove, pp. 133-157
- Braine, M. Steps towards a mental predicate logic. In: Braine, M.D.S., O'Brien, D.P. eds. (1998) Mental Logic. Erlbaum, Mahwah
- Geminiani, G.C., Bucciarelli, M. (1998) Deductive reasoning in right-brain damaged. Proceedings of the XX Conference of the Cognitive Science Society. Morton Ann Gernsbacher & Sharon J. Derry, Madison
- Geminiani, G.C., Carassa, A., Bara, B. G. Causality by contact. In: Garnham, A., Oakhill, J. eds. (1996) Mental Models in Cognitive Science: Essays in Honour of Phil Johnson-Laird. Lawrence Erlbaum Associates, Hove, pp. 275-303
- Johnson-Laird, P.N. (1983) Mental models. Cambridge University Press, Cambridge
- Johnson-Laird, P.N. (1993) Human and machine thinking. Erlbaum, Hillsdale
- Johnson-Laird, P.N. & Anderson, T. (1989) Common-sense inference,Mimeo (Princeton University).
- Johnson-Laird, P.N., Byrne, R. (1991) Deduction. Lawrence, Erlbaum Associates, Hillsdale
- Johnson-Laird, P.N., Legrenzi, P., Girotto, V., Sonino Legrenzi, M. & Caverni, J.P. (1999) Naive probability: A mental model theory of extensional reasoning.Psychological Review, in press.
- Legrenzi, P., Girotto, V., Johnson-Laird, P.N. (1993) Focussing in reasoning and decision making. Cognition 49: pp. 37-66 CrossRef
- Luria, A.R. (1976) Cognitive development, its cultural and social foundations. Harvard Univ. Press, Cambridge
- Michalsky, R.S. A theory and methodology of inductive learning. In: Michalsky, R.S., Carbonell, J.R., Mitchell, T.M. eds. (1983) Machine learning: An artificial intelligence, approach. Morgan Kaufmann, Los Altos
- Rips, L.J. (1994) The psychology of proof: Deductive reasoning in human thinking. MIT Press, Cambridge
- Savary, F., Whitaker, H., Markovits, H. (1992) Counterfactual reasoning deficits in right brain damage patients,Mimeo (Department of Psychology, University of Quebec at Montreal).
- Shafir, E., Tversky, A. (1992) Thinking through uncertainty: Nonconsequential reasoning and choice. Cognitive Psychology 24: pp. 449-474 CrossRef
- Tversky, A., Kahneman, D. (1973) Availability: A heuristic for judging frequency and probability. Cognitive Psychology 5: pp. 207-232 CrossRef
- Deduction and induction: Reasoning through mental models
Mind & Society
Volume 1, Issue 1 , pp 95-107
- Cover Date
- Print ISSN
- Online ISSN
- Additional Links
- mental models