ToMM, ToBY, and Agency

Core architecture and domain specificity

Bibliographic Data

ID23363713
AuthorsAngela Maria Leslie (0000-0002-4834-633X, Medical Research Council, corresponding author), Alan M Leslie
Year1994
Pages119-148
Publication date1994-04-29
Peer ReviewedYes
Open AccessYes
TypeCHAPTER
VenueMapping the Mind (SOURCE_BOOK)
PublisherCambridge University Press (PUBLISHER • US)
DOI10.1017/cbo9780511752902.006
OpenAlexW1709947398
ISBN9780511752902
LanguageEN
Citations received149

Our understanding of Agency is, in part, the result of domain-specific learning. The nature of this domain-specific learning needs to be understood in relation to the organization of information processing in the infant. As a result of adaptive evolution, the infant is a specialized processor of information with an architecture that (in part) reflects properties of the world. On this assumption, it should be possible to establish links between properties of the world, processing subsystems specialized for tracking those properties, and domains of knowledge. It is argued in the case of Agency that three main classes of world properties are reflected in three corresponding processing subsystems producing three distinct levels of knowledge. These three related triples are, respectively, mechanical Agency, actional Agency, and attitudinal Agency. Each of these three linked property classes, processing subsystems, and knowledge levels are discussed in turn but the focus will be mainly on mechanical Agency. In developing these ideas this discussion deals more generally with the nature of early mechanical understanding and its relation to conceptual development. A number of the ideas put forward in Leslie (1988) are revised and extended. One lesson of cognitive science is that different types of knowledge often have different locations within the global organization of human information processing. In development, different types of commonsense knowledge may originate from different locations in core cognitive architecture. Early mechanical understanding and the notion of Agency can be studied within such a framework.

Agency (philosophy) · Cognitive science · Data mining · Domain (mathematical analysis) · Epistemology · Focus (optics) · Geography · Knowledge management · Property (philosophy) · Relation (database) · Architecture · Artificial Intelligence · Child and Animal Learning Development · Computer Science · Mathematics · Philosophy · Psychology

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