REPRESENTATIONAL CONTENT IN HUMANS AND MACHINES

被引:171
作者
BICKHARD, MH [1 ]
机构
[1] LEHIGH UNIV, DEPT PHILOSOPHY, BETHLEHEM, PA 18015 USA
关键词
ARTIFICIAL INTELLIGENCE; COGNITIVE SCIENCE; CONNECTIONISM; CONTROL; EMERGENCE; ENCODINGISM; EPISTEMOLOGY; FODOR; FUNCTIONALISM; IDEALISM; INFORMATION; INNATISM; INTERACTIVISM; NARROW CONTENT; NATURALISM; ONTOLOGY; REPRESENTATION; SEMANTICS; SKEPTICISM; TRANSDUCTION;
D O I
10.1080/09528139308953775
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This article focuses on the problem of representational content. Accounting for representational content is the central issue in contemporary naturalism: it is the major remaining task facing a naturalistic conception of the world. Representational content is also the central barrier to contemporary cognitive science and artificial intelligence: it is not possible to understand representation in animals nor to construct machines with genuine representation given current (lack of) understanding of what representation is. An elaborated critique is offered to current approaches to representation, arguing that the basic underlying approach is, at root, logically incoherent, and, thus, that standard approaches are doomed to failure. An alternative model of representation-interactivism-is presented that avoids or solves the problems facing standard approaches. Interactivism is framed by a version of functionalism, and a naturalization of that functionalism completes an outline of a naturalization of representation and representational content.
引用
收藏
页码:285 / 333
页数:49
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