Knowledge Representation as a Tool for Intelligence Augmentation

Knowledge Representation as a Tool for Intelligence Augmentation

Auke J.J. van Breemen (Radboud University, The Netherlands), Jozsef I. Farkas (Radboud University, The Netherlands) and Janos J. Sarbo (Radboud University, The Netherlands)
DOI: 10.4018/978-1-60960-551-3.ch013
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Abstract

The goal of Intelligence Augmentation (IA) is the development of tools that improve the efficiency of human intelligence. To this end, the authors of this chapter introduce a model of human conceptualization on the basis of a cognitive theory of information processing and a Peircean theory of signs. An account of two experiments is provided. The first concerns conceptualization by individuals, and the second describes how problem elicitation was approached by a team of participants. A preliminary analysis of the results shows that the proposed model is congruent with multi channel and multi purpose human information processing. This implies that the cognitive model can be used as a model for knowledge representation in various fields of human-computer interfacing such as computer aided problem solving and problem elicitation.

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