Referenzsemantik in der Partnermodellierung

How can we explain that an assertion on something perceived can be understood in the same manner by somebody who cannot perceive that scene? This problem bases the interest in computational linguistics in how listener modeling could possibly be harmonized with reference semantics. Mental images substituting real perception appear as a way out. The architecture of the listener model has to be adapted to the creation and use of such pictorial data structures. Furthermore, the relation between the latter and a verbal (i. e., propositional) representation must be understood. The resulting architecture of a listener model with reference semantics can be employed to solve communicational problems from three general classes in a better way, as is demonstrated by an example implementation.     

Computerized fuzzy ratings: The concept of a fuzzy class

In this paper, we outline the concept of a fuzzy class used in programs for eliciting computerized fuzzy ratings. Fuzzy ratings allow respondents to provide symmetrical or asymmetrical latitudes of acceptance around a preferred point. These ratings have been used in research testing career theories and person-environment fit models. The variables defining the fuzzy class and the various functions that can be performed by it are described in the paper. The idea of a fuzzy class may be of interest to those involved in expert systems, knowledge engineering, or in fuzzy classification and measurement in general. A program, FUZRATE, written in object-oriented C++ code that uses the concept of a fuzzy class, is available on request. Both source code and a binary (executable) file are available.