心理学 | SCI期刊专刊信息1条

全文截稿: 2021-03-20

影响因子: 0.0

网址：
https://www.journals.elsevier.com/consciousness-and-cognition

Bayesian cognitive scientists, in general, have no doctrinal commitment to the classical computational theory of mind implemented by a modular architecture. On a modular architecture, symbolic representations are computed in modules (Turing 1950, Newell and Simon 1972; Fodor 1983, Fodor and Pylyshyn 1988, Marr 1982). Very few scientists and philosophers today endorse the old Fodorian modularity, so today modular senses live on in hierarchical modules in neural networks. Recently, however, some arguments are construed to show that classic and non-classic cognitive models need not always be incompatible with each other. Strikingly it has been suggested that some of the modelling strategies used by Bayesians bear a resemblance to classic modularity in both computational and algorithm levels (Jenkin and Siegel; 2015; Piantadosi and Jacobs, 2016; Newen et al. 2017; Samuels 2019; Hohwy 2020).