High-Intelligence & Decision Research Group
One of the main
difficulties of the mental work is to distinguish instruments
from the matter. [G.Ridman]
This page is for the facilitation of the comprehension of the subject
presented on this server, for more conscious navigation in
its domain, and for a stimulation of the creative thinking of the
These pages take a top-down approach to the fundamental concepts of
Knowledge Engineering, Management, Cognitive High-Intelligence Research and
issues are explained and fundamental definitions for the top
conceptualization platform are proposed. Socio-cognitive engineering is
considered a basic mental tool which should enable to comprehend, to think
and act in the real world of every intelligent entity, i.e. from
persons to nations [Gadomski, 2003].
Modern advanced sciences and technologies are complex, their
domains of interest are continuously extending, they are covering
always new fields of human activities and humans knowledge about
An unique global network of social, cognitive, economical,
technological and physical interrelations, processes, systems and ...
interests is visible always better but it represents an irreducible
complexity [Gadomski, 2004].
On the other hand, the intelligence of human civilization has to
cope with always more complex not imaginable before problems.
From the individual, organizational, social, as well as, national and
worldwide perspectives. a scientific identification of our identity and
our capacities of self-management became crucial, see for example,
Commissioner Philippe Busquin for the participants
of First International Workshop on Socio-Cognitive
Engineering: Foundations and Applications ( SCEF-2003,
complexity and uncertainty of socio-cognitive problems need a
completely new theory-based reconceptualization of our research
language and requires different meta- , meta-meta- ...
perspectives with, more then presently used, formal generalizations
structures. We need some
theory of mind (or a meta-mind, or a generalized mind, or generalized/synthetic
The explosive and fragmented development of
AI technologies, the increasing number of research communities which
work on seemingly similar problems, but build their hermetic
perspectives, creates the need for a common theoretical foundation.
In seeking a solution one should consider
the big success of physics in the beginning of XX century, when one
coherent conceptualization and representation system has been created
and accepted by all physicists, laying the base for enormously
sophisticated and successful applications of physics in other sciences
and engineering. Critical to this success was the assumption of the
great physicists that the really useful theory must be elegant, pretty
and simple to understand.
Adam Maria Gadomski, Jan Zytkow, 1994
Such approach should enable to develop computational models and
theories, for simulations, foreseen/forecast, and finally,
for the planning and decision-making in scales and ranges not
achievable at present.
the beginning, on this web pages, an approach to an unified view which
try to encompass the essence of meta-knowledge (and
meta-..meta-knowledge) is shortly presented
In parallel, the server http://erg4146.casaccia.enea.it
presents on-going continuously incrementing results of the ENEA's
research in this subject domain. It also intends to give some
synthetic opinions on the state of the art in the subject matter, and,
sometimes, we try to answer - why ? and how?
Socio-Cognitive Engineering Foundations and Applications: From Humans to
Workshop on Socio-Cognitive
Engineering Foundations and Third Abstract Intelligent Agent
International Round-Tables Initiative), Rome,
30 Sep. 2003
Identification of the Real-World Meta-Complexity .
Seminar "Interdisciplinarity in Research",
June 22, 2004.
An interview with Adam
Gadomski, ENEA's Journal (1994)
68.100 docs (11/07/06)