The many authors debating whether computers can understand often fail to clarify what understanding is, and no agreement exists on this important issue. In his Chinese room argument, Searle (1980) claims that computers running formal programs can never understand. I discuss Searle's claim based on a definition of understanding that is empirical,…

A theory of acquired similarity and knowledge representation, latent semantic analysis (LSA), is presented to explain how people know as much as they do with the little information they get. LSA suggests that some domains of knowledge contain vast numbers of weak intercorrelations that amplify learning by inference. (SLD)

The empirical study of knowledge representation is the focus of this paper, which observes that language as the cognitive instrument in the communication of phenomena must be capable of expressing relations of the observer-observation kind. The paper points out that this implies a coopeartive process at work in the production of a text, of which…

Noting that conceptions of the cognitive representations and processes involved in discourse comprehension and production recently have undergone an important shift in orientation, this paper points out the importance of the shift to the conception of the nature of texts, of text understanding, and of cognitive processes in knowledge creation and…