BIROn - Birkbeck Institutional Research Online

    Beyond single-level accounts: the role of cognitive architectures in cognitive scientific explanation

    Cooper, Richard P. and Peebles, D. (2015) Beyond single-level accounts: the role of cognitive architectures in cognitive scientific explanation. Topics in Cognitive Science 7 (2), pp. 243-258. ISSN 1756-8765.

    TheRoleofCognitiveArchitectures.pdf - Author's Accepted Manuscript

    Download (259kB) | Preview


    We consider approaches to explanation within the cognitive sciences that begin with Marr’s computational level (e.g., purely Bayesian accounts of cognitive phenomena) or Marr’s implementational level (e.g., reductionist accounts of cognitive phenomena based only on neural level evidence) and argue that each is subject to fundamental limitations which impair their ability to provide adequate explanations of cognitive phenomena. For this reason, it is argued, explanation cannot proceed at either level without tight coupling to the algorithmic and representation level. Even at this level, however, we argue that additional constraints relating to the decomposition of the cognitive system into a set of interacting subfunctions (i.e., a cognitive architecture) are required. Integrated cognitive architectures that permit abstract specification of the functions of components and that make contact with the neural level provide a powerful bridge for linking the algorithmic and representational level to both the computational level and the implementational level.


    Item Type: Article
    Additional Information: This is the accepted version of the article which has been published in final form at
    Keyword(s) / Subject(s): Cognitive Architecture, Explanation, Algorithmic and Representational Level, Bayes’ Rule, Cognitive Neuroscience
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Psychological Sciences
    Depositing User: Rick Cooper
    Date Deposited: 04 Mar 2015 08:08
    Last Modified: 02 Aug 2023 17:13


    Activity Overview
    6 month trend
    6 month trend

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item Edit/View Item