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2015 | OriginalPaper | Buchkapitel

On Z-numbers and the Machine-Mind for Natural Language Comprehension

verfasst von : Romi Banerjee, Sankar K. Pal

Erschienen in: Fifty Years of Fuzzy Logic and its Applications

Verlag: Springer International Publishing

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Abstract

This article is centred on two themes. The first is the extension of Zadeh’s basic Z-numbers into a tool for level-2 Computing With Words (CWW) and consequently subjective natural language understanding. We describe an algorithm and new operators (leading to complex or spectral Z-numbers), use them to simulate differential diagnosis, and highlight the inherent strengths and challenges of the Z-numbers. The second theme deals with the design of a, Minsky’s Society of Mind based, natural language comprehending machine-mind architecture. We enumerate its macro-components (function modules and memory units) and illustrate its working mechanism through simulation of metaphor understanding; validating system outputs against human-comprehension responses. The framework uses the aforementioned new Z-number paradigm to precisiate knowledge-frames. The completeness of the conceptualized architecture is analyzed through its coverage of mind-layers (Minsky) and cerebral cortex regions. The research described here draws from multiple disciplines and seeks to contribute to the cognitive-systems design initiatives for man-machine symbiosis.

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Titel: On Z-numbers and the Machine-Mind for Natural Language Comprehension
verfasst von: Romi Banerjee
Sankar K. Pal
Verlag: Springer International Publishing
Buch: Fifty Years of Fuzzy Logic and its Applications
Print ISBN: 978-3-319-19682-4

Electronic ISBN: 978-3-319-19683-1

Copyright-Jahr: 2015
DOI: https://doi.org/10.1007/978-3-319-19683-1_22

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