General Knowledge Machine Research Group

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	General Knowledge Machine Research Group
	Intelligent Knowledge Forefronts. Adaptive Learning Applications.

Aim: Research, development and introduction of really innovative, effective and easy-to-use approach to knowledge presentation and distribution called Electronic Knowledge Publishing. It is intended to provide transformation of individual knowledge into knowledge publicly accessible and usable for immediate consulting and adaptive learning. Additional information may be found in the papers ( "Intellectual activity, knowledge, information, data... An attempt to define it in an applicable way" ) (revised 11-Dec-1999, 1-Sep-2008, presented for ISPIM'99, Japan), ("Introducing a new kind of publishing: The Electronic Knowledge Publishing" ) (revised 11-Dec-1999, 1-Sep-2008), ("Is there any future for Artificial Intelligence?") (revised 15-Jan-2001, 1-Sep-2008, published by ISPIM News in 2001, Italy), ("Adaptive learning for knowledge-based organization") (revised 15-Dec-2001, 1-Sep-2008, presented for SSGRR'2002, Italy), ( "Adaptive learning with e-knowledge systems"), published by Inderscience Enterprises Limited, UK, in IJTM, Vol. 25, Nos.6/7, 2003, and ("PowerPoint presentation of Adaptive Learning for Organization") (revised 5-Feb-2003, 1-Sep-2008). Last updated April 2009.

Areas of possible applications:

Knowledge Management
Organizational Learning
Adaptive learning
Management decisions support
Fraud detection e.g. in banking
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 knowledge-based systems

Are you going to implement knowledge-based systems?

Konstantin M Golubev, GKM Research Group coordinator (resume in PDF format)
can help you as e-knowledge base development leader or consultant
e-mail: gkm-ekp AT users.sf.net

Instrumental Music

Statistics on April 2009

Total number of visits 159,800

"Intellectual activity, knowledge, information, data... An attempt to define it in an applicable way" (revised 9-Dec-1999, 1-Sep-2008)
Downloaded 5,872 times
"Introducing a new kind of publishing: The Electronic Knowledge Publishing" (revised 9-Dec-1999, 1-Sep-2008)
Downloaded 2,340 times
"Is there any future for Artificial Intelligence?" (revised 15-Jan-2001, 1-Sep-2008)
Downloaded 3,945 times
"PowerPoint presentation of Adaptive Learning for Organization" (revised 4-Feb-2003, 1-Sep-2008)
Downloaded 4,075 times

History: General Knowledge Machine Research Group was founded in 1986 as informal non-profit institution by mathematicians and IT experts. Now it counts (11 members).

Results: The set of tools called General Knowledge Machine (GKM) was developed providing intelligent e-knowledge base engine for any kind of knowledge-based applications, supporting effective knowledge presentation, precise knowledge search, adaptive learning and immediate consulting. GKM could be used for a creation of very effective knowledge-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 E-knowledge Systems.

Expert Systems.	E-knowledge Systems.
AI - Intended to replace human experts.	EKP - Intended to assist human intellect.
AI - Based primarily on mathematics.	EKP - Based on neurophysiology, psychology, knowledge management theory and mathematics.
AI - It is practically impossible to transform directly external knowledge sources to expert systems.	EKP - It is further advancement of a traditional publishing - external knowledge sources (books, articles etc) may be transformed into e-knowledge systems easily.
AI - Based on the decision rules concept.	EKP - Based on the general knowledge concept.
AI - The more complex an expert system is - the worse it works.	EKP - The more complex e-knowledge system is - the better it works.
AI - Development has many stages and very expensive.	EKP - Development has one stage and relatively inexpensive.
AI - It is relatively hard work to incoroprate an expert system into other information systems due to sequential nature of data input and output.	EKP - E-knowledge system may be easily incorporated into any kind of information system due to support of wide range of data input and output sources.
AI - It is practically impossible to use expert systems for learning, because they are not based on human knowledge.	EKP - It may be easily used for Adaptive Learning applications, based on the Just-In-Time Knowledge concept.
AI - May not be used for a new knowledge creation.	EKP - May be used for a new knowledge creation.
AI + EKP - Good news for all AI developers: the most valuable resource - knowledge bases on the productions concept, may be used for electronic knowledge systems development.	AI+EKP

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. And Electronic Knowledge Publishing allows to find and to learn only knowledge relevant to existing problems.

PowerPoint presentation of Adaptive Learning for Organization

What the people say:

“ 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.

Projects, services:

EKS Medical radiography (Russian language) 1991

EKS Oriental Acupuncture (Russian) 1992 download

(EKS Avitaminosis (English) ) download

(EKS Renaissance painting (English) ) 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 )
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. This e-knowledge system was downloaded more than 2,000 times from the sites with logging (like www.zdnet.com) and unspecified number of times from near 200 public ftp archives like ftp.simtel.net.

(EKS Gestures (English) ) download

Entertainment projects:

(Merry Christmas from Ukraine: carol, tale and game)
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

GKM tools binaries for Windows, Unix, Linux, OS-X 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

* Note: Services are free because we realize very well what is not to have funds for interesting projects development