A Bayesian model of source monitoring

Devitt, Kate (2010) A Bayesian model of source monitoring. In 36th Annual Meeting of the Society for Philosophy and Psychology 2010, 9 - 12 June 2010, Lewis and Clark College, Portland, Oregon. (Unpublished)

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Abstract

The Source Monitoring Framework is a promising model of constructive memory, yet fails because it is connectionist and does not allow content tagging. The Dual-Process Signal Detection Model is an improvement because it reduces mnemic qualia to a single memory signal (or degree of belief), but still commits itself to non-discrete representation. By supposing that ‘tagging’ means the assignment of propositional attitudes to aggregates of anemic characteristics informed inductively, then a discrete model becomes plausible. A Bayesian model of source monitoring accounts for the continuous variation of inputs and assignment of prior probabilities to memory content. A modified version of the High-Threshold Dual-Process model is recommended to further source monitoring research.

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ID Code: 85023
Item Type: Conference Item (Poster)
Refereed: Yes
Additional URLs:
Keywords: Bayesian, Source Monitoring, Recognition Memory, Remembering
Subjects: Australian and New Zealand Standard Research Classification > PSYCHOLOGY AND COGNITIVE SCIENCES (170000) > COGNITIVE SCIENCE (170200)
Divisions: Past > Schools > Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2010 please consult author.
Deposited On: 28 Jun 2015 23:31
Last Modified: 23 Sep 2016 15:59

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