Short e-paper  [http://erg4146.casaccia.enea.it/cog-intel.htm], since Apr.2001]  

    by

    Adam Maria Gadomski

Every observed behavior and every imaginary product of human mind  if it is formalizable in any computer language then can be exhibited by  computers.   [A.M. Gadomski]

Cognitive intelligence
is one of  ill defined concepts

 

 


 Without doubts, biologically  realized cognitive intelligence is the most complex property of human mind and can be perceived only by itself.

Our problem is what we call or may call cognitive intelligence. From the formal, computational perspective, cognitive intelligence is always one of ill defined concepts. Its definitions are immersed in numerous  scientific contexts and mirror their own historical evolutions, as well as, different "interests" of researchers involved. Its weakness is usually based on its abstract multi-faces image and, on the other hand, an universal utility character..


Thinking on Cognitive Intelligence
: many "cognitive intelligence" definitions,  as this one below, are based on another ill defined concepts and  are vague and  insufficient for cognitivists and AI professionals today.

"The ability to learn new things, recall information, 
think rationally, apply knowledge and solve problems." 
(Kaplan & Sadock, 1991)

  The  classical behavioral/biologists definition of intelligence:

"Intelligence is the ability to adapt to new conditions and 
to successfully cope with life situations."

seems to be the best, but "intelligence" here depends on available physical tools and specific life experience (individual hidden knowledge, preferences and access to information), therefore it is not enough selective to be measured,  compared or... designed.

In general, cognitive intelligence is/(should be) a human-like intelligence. Unfortunately there are many opinions what human-like intelligence means ( see below).

 

Cognitive intelligence uses a human mental introspective experience for the modeling of intelligent system thinking.


Cognitive intelligence may use brain models to extract brain's intelligence property (function).

 

Therefore it can be seen as a product of human self-conscious recognition of efficient mental processes, defined a' priori as intelligent. In order to obtain a consensus on the notion of cognitive intelligence is useful to have an agreement on  which intelligence is not cognitive. (from the "Solar balloons" page)

 

.

 

 


A not cognitive intelligence could be considered as an intelligence being developed using not human analogies, ...for instance, it is possible to construct very different models of flying objects starting from the observation of storks, balloons, beetles or clouds - maybe this observation can be useful.

The difference between human and artificial intelligence theories is similar to the difference between the birds theory of fly and the airplanes fly theory, the both can lead to a more general theory of fly but this last needs a goal-oriented and a higher abstraction level of the conceptualization/ontology.

 

Computational cognitive intelligence is the domain of research focused on the theory building and modeling of a cognitive intelligence which satisfy the request of computationality

A problem, theory  or a model is computational if it is formalized in such way that can be transformed to the form of a computer program. Computationality is the serious research problem of humanistic, social and psychological sciences, for example, modern systemics, cognitive and socio-cognitive approaches develop different attempts to a computational specification of their "soft" knowledge.

According to the TOGA metatheory paradigms, for scientific and practical modeling purposes, the separation of the meanings of the  concepts:

     information, knowledge, preferences, intelligence and emotions.  

is useful and reasonable. If properly defined, these concepts can be independently identified, designed (see structural intelligence, personoids), and together,  may model a.computational cognitive information processing.

Such kind of semantic modularity enables to construct:  "emotional intelligence", "social intelligence", "skill intelligence", "organizational intelligence",  and many other "X-intelligences", where X denotes a type of knowledge, preferences or an intelligence carrier system involved.

For example:

business intelligence  is rather the applications of intelligence in business affairs and for the management of business IPK.; 

emotional intelligence is  the applications of cognitive intelligence  to the (conscious or not conscious) management of human emotions (not conscious) constrains/requirements and "biological requests".

- In the above context,  an 'abstract intelligent agent' * (== synthetic intelligent agent) can be considered as the functional kernel of any natural or artificial intelligent system.

 

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(*)  .Abstract Intelligent Agent discussion Group (1998), Yahoo


Remarks and links:

 About  intelligence definitions available:
        They have to be different because they are formed in different contexts and for  different purposes, see:

 -  "Observation" of intelligence:  http://erg4146.casaccia.enea.it/intel-sy.html
 -   Intelligence in the Free Wikipedia Encyclopedia: http://en.wikipedia.org/wiki/Intelligence_%28trait%29 - in continuous     

     modification.
 -   high-intelligence ( TOGA meta-theory):   http://erg4146.casaccia.enea.it/HID/HI-def.htm
 -  ...
 Cognitive Science, Herbert Simon: http://www.aaai.org/AITopics/html/cogsci.html

 

Google  search: "cognitive intelligence"  -  it also  illustrates  mishmash and  numerous buzzwords in this research domain.

                           On the other hand, the concept  "computational cognitive intelligence" is not yet present on the Web (O docs - 16

                           Oct.2006).

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