Abstract: "This paper develops two principles for generating understandable explanations, and presents a simple computational system based on those principles. First, explanations should be planned so that, in principle, the concepts in them may be understood by the particular hearer. This invo...

Ausführliche Beschreibung

Bibliographische Detailangaben

1. Verfasser:	Cawsey, Alison (VerfasserIn)
Format:	Buch
Sprache:	English
Veröffentlicht:	Edinburgh 1990
Schriftenreihe:	University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 473
Schlagworte:	Bionics and artificial intelligence Discourse analysis > Computer simulation
Zusammenfassung:	Abstract: "This paper develops two principles for generating understandable explanations, and presents a simple computational system based on those principles. First, explanations should be planned so that, in principle, the concepts in them may be understood by the particular hearer. This involves making use of both general learning/teaching methods (such as by analogy or by example) and information about how different types of knowledge (such as procedures, objects or processes) may be described using these. Then, giving assumptions about the user's knowledge it should be possible to generate understandable explanations in a fairly principled manner Second, our model of the hearer's knowledge is very unlikely to be correct (though it may be a useful approximation). It is therefore vital to allow the user to signal whether or not they are following, and to ask clarification questions as necessary. In a complex explanation these may take place within the explanation, and influence the progress of the explanation. These principles motivated a revised version of the EDGE explanatory discourse generator [Cawsey 89, Cawsey 90], which we will call FUDGE (Fairly Understandable Discourse GEnerator). This paper introduces the FUDGE system.
Beschreibung:	9 S.