BASIC
SOCIO-COGNITIVE ENGINEERING
PARADIGMS
(An approach to systemics from the TOGA meta-theory perspective)
Adam Maria Gadomski |
TOGA
(Top-down Object-based Goal-oriented Approach) socio-cognitive
paradigms are meta-knowledge. These paradigms are
arbitrary
axiomatic assumptions considered as necessary in order to be effective
in every human modeling activity.
Remark: Of course, the
TOGA
meta-knowledge is a systemic knowledge because it satisfies systemic paradigms.
Physics paradigms:
The world is simplest as possible: the simplest solution/description
is always better/"true".
Observability/measurability and its repetitiveness are necessary; it refers
to attributes, events, processes and systems.
Theories are build by generalization;
bottom-up approach - from details to a synthesis.
Identification of physical
observables is performed by decomposition; top-down approach, from an entity
to the analysis of details.
Systemic paradigms:
Specialization: top-down approach -
from a general consensus to details negotiations.
Completeness and congruence of
description on every generalization level.
Theories and models developed have to be valid for every domain where physics
paradigms can be applied.
Engineering paradigms:
Always to be goal-oriented/driven/based/purposive
Development of new
physical/abstract systems using available: knowledge, technologies and
materials. See also:
mindware. Cognitive paradigms (unified
cognition theory):
Intelligent-subject
centered: always the user/(human-agent) of an identified/designed system
must be modeled.
Duality of the modeling:
Sub-symbolic modeling based on the identification of physical neural
processes in brains, where mental functions are seen as their consequences.
Symbolic modeling where the
mind functions are observed and abstracted from human brain (its physical
carrier).
In the both cases the modeling can
be computational.
Definition of cognitive
structural intelligence
(TOGA): this
intelligence does not depend on specific domain knowledge, preferences (also
ethics) and available information.
Presence of an emotive component: every reasoning
process in biological organisms is in the feedback with its lower level control
and is influenced by the properties of its
carrier physical system.
Social paradigms
Abstract intelligent cognitive agent properties have essential influence
on the modeling of every human
society/organization.
Social/organization
intelligence: Intelligence of socially interacting group/organization can be higher or
lower than extreme intelligence of its intelligent components [
personoids].
Management
is the control/regulation/supervising of a domain using
autonomous/intelligent tools (TOGA definition);
the management satisfies UMP
paradigm.
Every intelligent
society generate/produce a culture (an ensemble of behavioral rules and
abstract and physical entities used by it).
Remarks: Numerous
well established existing scientific theories satisfy only selected paradigms
from this list. We may only mention
that physics does not satisfy cognitive paradigms.
[from Gadomski's article on TOGA and intelligence, June,2001].
The form of the above presented paradigms can be modified yet (expressed
better - All suggestions and comments are
welcome). See also for the terminology
used: Mindware
- science & engineering , The
Concise Top-Down TOGA Vocabulary, IPK
Paradigm
For citation purposes:
Adam
Maria Gadomski,
BASIC SOCIO-COGNITVE ENGINEERING
PARADIGMS, since 2001, Meta-Knowledge
Engineering Server, ENEA, http://erg4146.casaccia.enea.it/toga-parad.htm,
Last updating: Oct. 13, 2004.
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