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 usedMindware - 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.
 
 Meta-knowledge Engineering
    TOGA  theory
  Paradigms of  Meta-System Engineering
 Socio-Cognitive Engineering
HID Research G.

 

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