Abstract
In this paper we present an interactive activation and competition (IAC) model of name recognition. This is an extension of a previous account of name retrieval (Burton & Bruce, 1992) and is based on a functional model due to Valentine, Bredart, Lawson, and Ward (1991). Several empirical effects of name recognition are simulated: (1) names that are known are read faster than names that are unknown; (2) common names are read faster than rare names; and (3) rare names are recognised as familiar faster than common names. The simulations demonstrate that these complex effects can arise as a natural consequence of the architecture of the IAC model. Finally, we explore a modification of the Valentine et al. functional model, and conclude that the model as originally proposed is best able to account for the available data.
Original language | English |
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Pages (from-to) | 457-480 |
Number of pages | 24 |
Journal | Memory |
Volume | 1 |
Issue number | 4 |
DOIs | |
Publication status | Published - 1 Dec 1993 |
Externally published | Yes |