The Extended Hierarchical Censored Production Rules (EHCPRs) system is presented here as an underlying methodology for representation, reasoning, learning, etc., of the proposed live multilingual thinking machine. Enriched representation scheme is a very important aspect and central
to all the successful and effective Artificial Intelligence systems. An EHCPR is presented here as a unit of represented knowledge (i.e. an artificial neuron) in the knowledge treasure distributed over globally spread servers. An EHCPR is implemented with the help of extensive set of predefined
pointers like dendrites in a neuron and various nodes like nucleus in a neuron, which would span a huge but efficient multilingual hierarchical network as knowledge structure. The EHCPRs system is started live at www.live-ehcprs-system.com
with multilingual representation and storage at word level only. But construction of words is by starting at character level without repetition in representation of a character. It displays the stored information of any stored concept in any of the selected language. To begin with, English,
French and Hindi are offered to the user which would be extended to all the languages in future.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
Affiliations:1: Department of Electronics, Zakir Husain Delhi College, University of Delhi, J.L.N. Marg, New Delhi, 110002, India 2: Department of Computer Applications, Bharat Institute of Technology, Meerut, 250004, India