General Knowledge Machine Research Group
	Intelligent Knowledge Forefront. Adaptive Learning Applications. Intellect Modeling. Just-In-Time Knowledge.

Areas of possible applications: Knowledge Management Organizational Learning Electronic Knowledge Publishing Adaptive learning Management decisions support Fraud detection Helpdesks Consulting Diagnostics e.g. in medicine Expert evaluation support e.g. in arts trades Intelligent advancement of search engines Natural cluster analysis of research data, regularities finding Any kind of intellect-based systems

Are you going to implement intellect-based systems? Konstantin M. Golubev, GKM Research Group coordinator (resume in PDF format) can help you as intellect-based system development leader/consultant e-mail: gkm-ekp AT users.sf.net

Instrumental music - best for headphones - composed and performed by Konstantin M. Golubev

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Statistics on October 1997 - December 2024 Total number of visits 228,469 "Intellectual activity, knowledge, information, data... An attempt to define it in an applicable way" (revised 9-Dec-1999, 1-Sep-2008, 15-Oct-2010, Oct-2017)  Downloaded 19,311 times "Introducing a new kind of publishing: The Electronic Knowledge Publishing" (revised 9-Dec-1999, 1-Sep-2008)  Downloaded 2,846 times "Is there any future for Artificial Intelligence?" (revised 15-Jan-2001, 1-Sep-2008)  Downloaded 4,608 times "PowerPoint presentation of Adaptive Learning for Organization" (revised 4-Feb-2003, 1-Sep-2008, 25-Oct-2010)  Downloaded 5,431 times "Intellect Modeling Kit"  Downloaded 793 times "Toxicology Consulting Point"  Downloaded 583 times

History: General Knowledge Machine Research Group was founded in 1986 at Institute of Cybernetics, Kyiv, Ukraine, as informal institution by mathematicians and IT experts. Now it counts (11 members).

Results: The set of tools called General Knowledge Machine (GKM) was developed providing Intellect Modeling technology assisting intellectual activity and supporting effective knowledge presentation, precise knowledge search, adaptive learning and immediate consulting. GKM-IMK could be used for a creation of very effective intellect-based applications called e-knowledge systems. Early versions of GKM were developed for UNIX, MS-DOS, Windows operating systems. The latest version supports all platforms of GNU compiler options (any Windows, Linux, Unix ... ).

Comparison of AI Expert Systems and IMK E-knowledge Systems.

TRADITIONAL + ADAPTIVE LEARNING = BROAD WAY TO KNOWLEDGE. ORGANIZATIONAL LEARNING ADVANCEMENT PROJECT. LEARNING Exams: Prof.: You are looking very worried. Any problems with exams questions? Stud.: Oh, no! Questions are OK. It is the answers that I worry about. Traditional Learning Traditional learning is based on a linear process, when students must learn all proposed knowledge, topic by topic. After that students must pass exams to get acknowledgement from professors that knowledge is in their minds. Initial time of learning is very big, usually up to 17 years (school + university). There are many exams, sometimes very difficult, having significant influence on the life of students. But all this very hard work does not guarantee that students have all or even greater part of knowledge needed to solve problems which arise in their post-school activity, in the real world life. Adaptive Learning Adaptive Learning is based on a concept called Just In Time Knowledge (JIT-Knowledge). Total amount of external sources of knowledge, even in the specific areas, becomes greater all the time. It is not possible, taking into account limitations of human brain, to learn it with Traditional Learning, topic by topic. It means that in reality significant part of knowledge is not used by anyone, and many problems are not solved because no one learns needed knowledge. The Electronic Knowledge Publishing allows to find and to learn only knowledge relevant to existing problems.

Presentation of Intellect Modeling Kit in PDF file

News and opinions: June, 2024  The electronic knowledge publishing based on intellect modeling by Konstantin M. Golubev, published by Academic Publishing 2024-06-19. Copyright (c) 2024 Konstantin M. Golubev February, 2024  The Interdisciplinary Study of Intellect, Life and Humanity Evolution October, 2020  KM Renaissance Painting released Jule, 2020  Intellect Modeling Kit by Konstantin M. Golubev in Eunika Mercier-Laurent (eds) Artificial Intelligence for Knowledge Management. AI4KM. IFIP Advances in Information and Communication Technology, Springer, Cham. 2020 August, 2019  Electronic Knowledge Publishing Adaptive Learning For every person and organisation October, 2019  Toxicology consulting point released October, 2017  INTELLECT MODELING KIT VERSION V2017B RELEASED Intellect Modeling Kit is an alternative to traditional Artificial Intelligence, intended to build apps assisting human intellect on these steps of its activity: * Observation * Producing propositions based on knowledge * Elimination of impossible propositions * Selection and verification of the most appropriate propositions * Memorizing - converting data to information and new knowledge item creation * Abstraction finding – building artificial objects, representing group of real objects featuring typical signs of group August, 2014  Adaptive Learning for Organization Jule, 2014  Overview of AI Research History in USSR and Ukraine: Up-to-Date Just-In-Time Knowledge Concept by Konstantin M. Golubev in Artificial Intelligence for Knowledge Management. Editors: Eunika Mercier-Laurent, Danielle Boulanger. ISBN: 978-3-642-54896-3 (Print) 978-3-642-54897-0 (Online)  published by Springer Berlin Heidelberg. Copyright IFIP International Federation for Information Processing, 2014 August, 2012 Link to Workshop AI for Knowledge Management ECAI 2012/IFIP TC12.6 proceedings  AI expert Eunika MERCIER-LAURENT has placed our paper - Overview of AI path in USSR and Ukraine. Up-to-date Just-In-Time Knowledge Concept by K.M. Golubev - as a contribution into the Proceedings of ECAI2012. We would like to thank her for interest and support., Link to Workshop page  May-2012. AI expert Eunika MERCIER-LAURENT: I organize a workshop during ECAI 2012 conference in partnership with IFIP TC12.6. I would be happy to have all interested in AI and Knowledge Management in Montpellier this summer, 2011. Congratulations, General Knowledge Machine, one of your products, has been added to Softpedia's database of software programs for the Windows operating system. We are impressed with the quality of your product and encourage you to keep these high standards in the future. Amason link December 6, 2011. Our work is featured in Innovation Ecosystems book by known AI expert Eunika MERCIER-LAURENT   2007. Kiev, Ukraine. GKM-EKP technology was used to support gerontology medical research. IAENG link November, 2006. Our work is featured in Case Based Reasoning with State Transition Mechanism for Problem-Solving in AI by Arijit Chatterjee, IAENG International Journal of Computer Science, 32:4, IJCS_32_4_14 Local 2006. Our work is featured in 28. Intellectual Activity, Knowledge, Information, Data ... An Attempt to Define it in an Applicable Way, Chirea-Ungureanu Carmen, Seceleanu Andra, “Andrei Saguna” University, Constanta, ROMANIA MINISTRY OF DEFENCE, “NICOLAE BALCESCU” LAND FORCES ACADEMY, MAN IN THE KNOWLEDGE BASE ORGANIZATION, XXI INTERNATIONAL CONFERENCE Local  2003. Our work is referenced in Making Technology Effective By Patrick J. Dowling, Jr., Cincom Systems, Inc.   2002. GKM engine is very reliable and stable product evolving from 1986. In the early days we have tried to implement into this product as many features as possible, but with the time we have found that real knowledge sources are rather conservative and don't require them. Thus we have removed many features in order to build fast and portable e-knowledge base engine. The last release is Version 4.1. Now we are working on applications based on GKM engine and didn't find that additional features needed. But in a case that someone wants to suggest improvements, we would be ready to discuss them. Local 2002. Our work is referenced in GESTAO INTELIGENTE DO CONHECIMENTO by Jordan Paulesky Juliani, Universidade Federal de Santa Catarina, Brasil “ I visited your web sites with great interest. I strongly suggest that you attend our Tampere event www.uta.fi/EGEDL ).” Takeshi Utsumi, Ph.D., Chairman, GLOSAS/USA, (GLObal Systems Analysis and Simulation Association in the U.S.A.), Laureate of Lord Perry Award for Excellence in Distance Education, Founder of CAADE (Consortium for Affordable and Accessible Distance Education), President, Global University in the U.S.A. (GU/USA). "I was most attracted by the possibility to use EKS/GKM as an expert system in the medical context." Rolf Gruetter, Media and Communications Management Institute, University of St. Gallen, Switzerland "Your information helps as we here in Australia have a low context language, but most of my student group are East Asians doing a Master of Linguistics and come from high context environments. I would appreciate being put on my emailing list for any further products. Sincerely," Peter French MAcc MEd, University of New England "Let me say that your KM Machine I have seen at your site is smart." Piero Formica, Professor, School of Corporate Business, Universita di Bologna, Italy “We were extremely interested to read of your ideas.” Kim Wilson, Head of Editorial & Development, ELECTRONIC PUBLISHING, Oxford University Press.   2002. Why fortran? Project started in 1986 on DEC PDP-11 computer where main high level language was Fortran. Version 1, 1987 For OS RSX-11M DEC PDP-11 with user interface built in. Version 2, 1988 For OS Unix DEC PDP-11 with user interface built in. Version 3, 1993 For OS MS DOS with user interface built in. Version 4, 1999 Intelligent e-knowledge base engine without user interface for OS Windows, Unix, Linux ...  1999. The paper: K.M.Golubev. Traditional + Adaptive Learning = broad way to Knowledge. Distance learning advancement project. Accepted for ISPIM'99 conference in Tokyo, Japan, 1999.   1997. Kiev, Ukraine. First website started to work.   1995. Kiev, Ukraine. GKM-EKP technology was used for banking management.   1994. Kiev, Ukraine. GKM-EKP technology was used for arts applications.   1992. Kiev, Ukraine. GKM-EKP technology was used for Parkinson's disease research support.   1987. Kiev, Ukraine. GKM-EKP technology was used for x-ray diagnostics support.   1986. Kiev, Ukraine. Inital ideas were generated. Development of GKM-EKP technology started.

Projects, services: EKS Medical radiography (Russian language) 1991 EKS Oriental Acupuncture Ms-Dos app - use DosBox (Russian) 1992  download (EKS Avitaminosis (English) Ms-Dos app - use DosBox ) download (EKS Renaissance painting (English) Ms-Dos app - use DosBox ) download With this system you can identify an author or an artistry school of unknown artwork EKS Banking management (Russian) 1997 (Windows version of EKS Gestures (English) 1998 Win32 app - not Win 10+ )   Freeware download (332KB). Psychologists state that during a dialogue up to 40% of information is transmitted by words and intonation, and more than 60% by gestures. Therefore it is very important to understand a language of gestures and movements, which are not supervised by a consciousness and are exact indicators of a state of a person.

Entertainment projects: (Merry Christmas from Ukraine: carol, tale and game Ms-Dos app (use DosBox) ) Freeware download (163 Kb) for Windows 95/98/NT. Multimedia perfomance by painting expert Viktor P. Tkachenko.  (A state-of-the-art instrumental music by our musical expert Alexander A. Lisinchuk) Freeware download (2,800 Kb).

"Festive occasion" painting by Viktor Tkachenko

Services: GKM tools sources for all systems - * free download Consulting on non-profit projects - * free Consulting on commercial projects - negotiable Commercial use of EKS from GKM Research Group - negotiable Development of EKS on a specific subject - negotiable Finding regularities in a set of facts - negotiable