The rewards and hazards of computer simulations
Article Abstract:
Computer simulations have both advantages and disadvantages when they are used in cognitive psychology, and the advantages include replication of simulations as with traditional experimentation techniques. Simulations can also allow experiments to be carried out that could not be performed using humans, and can bring to the fore relationships which had previously been hidden, between findings which initially were apparently disparate. Problems include discrepancies between theories and their implementation in simulations, and predictions arising from modeler's pragmatic choices, rather than from theories' intrinsic properties.
Publication Name: Psychological Science
Subject: Psychology and mental health
ISSN: 0956-7976
Year: 1993
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The utility of item-level analyses in model evaluation: a reply to Seidenberg and Plaut
Article Abstract:
The argument presented by Seidenberg and Plaut implicated the limited analyses for two connectionist models of word naming performance. The models being discussed do not only measure absolute variance but also the amount of variance captured compared with three standard predictor variables. Item-level analyses is still the recommended method in giving significant complement to traditional factorial studies in determining the models of lexical processing.
Publication Name: Psychological Science
Subject: Psychology and mental health
ISSN: 0956-7976
Year: 1998
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Bringing computational models of word naming down to the item level
Article Abstract:
Research shows that connectionist model item-level estimates predict naming latencies with less variance when compared to log frequence/neighbourhood density/orthographic length predictions. The item-level performance of second-wave word-naming PMSP and SM89 model forecasting is assessed using multiple regression analysis with mean item-naming latency variations.
Publication Name: Psychological Science
Subject: Psychology and mental health
ISSN: 0956-7976
Year: 1997
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