文章基本信息

标题：Revisiting the Mental Models Theory in Terms of Computational Models Based on Constructive Induction.
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作者：Stefania BANDINI ; Gaetano A. LANZARONE ; Alessandra VALPIANI 等
期刊名称：Philosophica
印刷版ISSN：0379-8402
出版年度：1998
卷号：62
期号：2
出版社：Ghent University
摘要：In the theoretical framework developed by Johnson-Laird (1983; 1993) about mental models and their role in human reasoning, induction is defined as a thought process starting with a set of observations, whose goal is to frame a hypothesis that reaches a better description or understanding of this information in relation to a background of general knowledge; any hypothesis can be evaluated and as a result, maintained, modified or abandoned. A distinctive feature of induction is that its conclusions increase knowledge in a plausible way. The J ohnson-Laird theory describes how such a process generates hypotheses through procedures of construction, manipulation and revision of mental models; it does not, however, give an explicit and formal (i.e., useful in the design of a computational model) description about how conclusions can go beyond the specific events considered to enrich the initial information