BibTeX
@MISC{_onmodeling,
author = {},
title = {On Modeling Intentions for Prospective Memory Performance},
year = {}
}
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Abstract
Four models of intention handling were implemented and evaluated for their fit to a set of prospective memory reaction time data. The models instantiated either a top-down intention monitoring scheme or a bottom-up intention cueing scheme, corresponding to two types of descriptive accounts for prospective memory performance. Top-down models yielded reaction time patterns that more closely matched observed patterns. In these models, the cost of managing a delayed intention during a primary task is a function of the increased number of competing, possibly relevant intentions. Issues surrounding task-independent processing and representational commitments for what it means ‘to intend ’ and to manage multiple intentions are discussed.
Keyphrases
prospective memory performance modeling intention top-down intention monitoring scheme task-independent processing bottom-up intention top-down model descriptive account primary task delayed intention reaction time intention handling prospective memory reaction time data relevant intention representational commitment multiple intention increased number
