NDLI: A Mind-World Correspondence Principle

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A Mind-World Correspondence Principle

Content Provider	IEEE Xplore Digital Library
Author	Goertzel, B.
Copyright Year	2013
Description	Author affiliation: Novamente LLC, Rockville, MD, USA (Goertzel, B.)
Abstract	A novel “Mind-World Correspondence Principle” is proposed - which, given an environment and goal-set, heavily constrains the structure of any intelligent system capable of efficiently achieving those goals in that environment. This is proposed as a potential step toward a “general theory of general intelligence.” An approximate gloss of the proposed principle is: “For a mind to work intelligently toward certain goals in a certain world, there should be a nice mapping from goal-directed sequences of world-states into sequences of mind-states, where “nice” means that a world-state-sequence W composed of two parts $W_{1}$ and $W_{2},$ gets mapped into a mind-state-sequence M composed of two corresponding parts $M_{1}$ and $M_{2}.”$ The principle is formulated using the mathematical language of category theory, but refinement of the principle into a precise theorem is left for later works. Discussion is given regarding the use of the principle to explain common properties of realworld intelligences such as the presence of hierarchical structure. Declarative, procedural and episodic memory systems, as present in human minds and human-like cognitive architectures, are formalized using category theory in a manner consistent with the Mind-World Correspondence principle. The notion of development of minds is similarly formulated, using the category-theoretic notion of natural transformations. It is suggested that this approach to cognitive analysis and modeling may eventually be useful for deriving and refining practical designs for Artificial General Intelligence.
Starting Page	68
Ending Page	73
File Size	165313
Page Count	6
File Format	PDF
ISBN	9781467359238
DOI	10.1109/CIHLI.2013.6613267
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-16
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy sets Neural networks Transfer functions Abstracts Organisms Intelligent systems
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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