A machine-mind architecture and Z*-numbers for real-world comprehension
Document Type
Book Chapter
Publication Title
Pattern Recognition and Big Data
Abstract
This article documents our efforts on machine-mind design for realworld, understanding. It includes: a) enumeration of essential macroarchitectural elements and working principle of our machine-mind framework, b) definition of a novel paradigm, the Z*-numbers, for encapsulation of essential objective and subjective elements of real-world information, and c) a detailed example illustrating the dynamics of the framework and the role of the Z*-numbers. Our work is based on Minsky's theories of cognition, Zadeh's Z-number philosophy, and human brain processes of comprehension. The ideas herein, envision man-machine symbiosis and aim to contribute to the synthesis of an empathetic artificial mind. Among others, the primary novelty in our design lies in the emphasis on representation of the machine-self and its derivates towards emulation of bespoke real-world comprehension.
First Page
805
Last Page
842
DOI
10.1142/9789813144552_0026
Publication Date
12-15-2016
Recommended Citation
Banerjee, Romi and Pal, Sankar K., "A machine-mind architecture and Z*-numbers for real-world comprehension" (2016). Book Chapters. 222.
https://digitalcommons.isical.ac.in/book-chapters/222
