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Logico-linguistic modeling
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Logico-linguistic modeling : ウィキペディア英語版
Logico-linguistic modeling
Logico-linguistic modeling is a method for building knowledge-based systems with a learning capability using Conceptual Models from Soft systems methodology, modal predicate logic and the Prolog artificial intelligence language.
== Overview==
Logico-linguistic modeling is a six stage method developed primarily for building knowledge-based systems (KBS), but it also has application in manual decision support systems and information source analysis. Logico-linguistic models have a superficial similarity to Sowa's〔Sowa, John F. (1984), ''Conceptual Structures: Information Processing in Mind and Machine'', Addison-Wesley, Reading, MA, USA.〕 Conceptual Graphs, both use bubble style diagrams, both are concerned with concepts, both can be expressed in logic and both can be used in artificial intelligence. However, logico-linguistic models are very different in both logical form and in their method of construction.

Logico-linguistic modeling was developed in order to solve theoretical problems found in the Soft Systems method for information system design. The main thrust of the research into has been to show how Soft Systems Methodology (SSM), a method of systems analysis, can be extended into artificial intelligence.

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