Rethinking Innateness: A Connectionist Perspective on Development (Neural Networks and Connectionist Modeling)

Description for Rethinking Innateness A Connectionist Perspective on Development Neural Networks and Connectionist Modeling

Jeffrey L. Elman, Elizabeth A. Bates, Mark H. Johnson, Annette Karmiloff-Smith, Domenico Parisi, Kim, "Rethinking Innateness: A Connectionist Perspective on Development (Neural Networks and Connectionist Modeling)"
Publisher: The MIT Press | 1996-10-15 | ISBN 0262050528 | PDF | 450 pages | 2.4 MB

Rethinking Innateness asks the question, "What does it really mean to say that a behavior is innate?" The authors describe a new framework in which interactions, occurring at all levels, give rise to emergent forms and behaviors. These outcomes often may be highly constrained and universal, yet are not themselves directly contained in the genes in any domain-specific way.

One of the key contributions of Rethinking Innateness is a taxonomy of ways in which a behavior can be innate. These include constraints at the level of representation, architecture, and timing; typically, behaviors arise through the interaction of constraints at several of these levels.

The ideas are explored through dynamic models inspired by a new kind of "developmental connectionism," a marriage of connectionist models and developmental neurobiology, forming a new theoretical framework for the study of behavioral development. While relying heavily on the conceptual and computational tools provided by connectionism, Rethinking Innateness also identifies ways in which these tools need to be enriched by closer attention to biology.

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