How Not to Evaluate a Developmental System

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How Not to Evaluate a Developmental System
—Computational models of development aim to describe the mechanisms that underlie the acquisition of new skills or the emergence of new capabilities. The strength of a model is judged by both its ability to explain the phenomena in question as well as its ability to generate new hypotheses, generalize to new situations, and provide a unifying conceptual framework. Although often constructed using traditional engineering methodologies, evaluating the performance of a computational model of development in terms of traditional perspectives, however, is a flawed approach. This paper addresses the fundamental issues that confound quantitative analysis of computational models of developmental systems. In particular we focus on the following recommendations: 1) don’t equate the success of a developmental model with its peak performance at some task; 2) don’t employ purely subjective or qualitative measures of model fitness; and 3) don’t hide or reject variation as found in the computa...
Frederick Shic, Brian Scassellati
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Authors Frederick Shic, Brian Scassellati
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