Research Group

       Remarks of Adam Maria Gadomski

  Cognitive observations of  an intelligence (not  exactly the definition):

     In the center of any human cognition is an abstract intelligence.
     INTELLIGENCE is our foundamental "tool" to  comprehend and to understand the world.
     INTELLIGENCE is a basic and necessary property of the future software systems to make them more efficient tools 
     in  always more complex open global world of information.
     INTELLIGENCE is a capability to learn, to change its/his/her own preferences and to think about 
     its/his/her own reasoning.
     INTELLIGENCE is a capability to use its/his/her IPK for new/(not expected by the designer) problems.
     Abstract INTELLIGENCE is its "essence" not dependent on technology and materials used for its 
     realization, not dependent on particular  information, knowledge and preferences  available to an 
     intelligent system (== intelligent agent).

  Top problems


    - Carrier systems and an abstract intelligence?

    - Different goals and  functions - different intelligences?

    - Observability - behavioral (humans oriented by IQ measured, Turing test) or structural (engineering perspective)?

    - Boundary conditions - When "intelligent system"  is not more intelligent?

    - How to establish paradigms for intelligence modeling?

    - How to enhance/augment/amplify/reinforce intelligence'? - What has to be extended/improved?

      Intelligence add, Intelligence support - What is the difference between intelligence support and reinforce 


    - Terminological redundancy, for ex. abstract/synthetic/generic/general intelligence are used as idiomatic terms.

  TOGA intelligence-oriented research hypothesis, proposals, articles and initiatives


 Most general, the term  intelligence denotes complex and ill defined mental human capability to be efficient and effective in new and weakly known situations. From the human kind perspective, in order to enhance it and to "install" in machines, this property has to be modeled and simulated. 
In the subject matter literature, there are numerous  approaches to this task from different research perspectives.
An approach to the rough classification of the current trends in this activity is presented in the e- paper of Gadomski. In such context we present some remarks and taxonomy proposals based on the TOGA
(Top-down Object-based Goal-oriented Approach) meta-theory.

  See links on this server

 Some other systemic  or semi-systemic intelligence-oriented ideas, perspectives and


     -  Russell, S. (1995). Rationality and Intelligence. Artificial Intelligence, 94, 5777.  (IMPORTANT)

     -  Understanding Intelligence (Pfeifer and Scheier) - Dawson Margin Notes ,
     -  Research and Engineering of Intelligent Systems: the U.S. National Institute of Standards and 
     -  Doctoral Dissertation:Computational Measures of Information Gain and Reinforcement in
         Inference Processes. Jose Hernandez-Orallo

     -  Rather historical approach to the intelligence concept  (in continuous modification)


Google search: 
       "reinforcement of intelligence"            - 28/03/07 - 10800 docs

       "augmented intelligence"                   - 28/03/07 - 30700 docs

        "intelligence amplification"                - 28/03/07 - 28300 docs

       "reinforcement of cognitive  intelligence"     - 28/03/07 - 0 docs
       "reinforcement of managerial  intelligence"  - 28/03/07 - 1 docs (ENEA's)

       "managerial intelligence amplification"        - 28/03/07 - 0 docs

       "management intelligence amplification"     - 28/03/07 - 0 docs

       "organization intelligence amplification"       - 28/03/07 - 0 docs

       "organizational intelligence reinforcement"   - 28/03/07 - 1 docs (ENEA's)
     ... What does this difference mean?


     New concepts of and perspectives on general/abstract/systemic  intelligence (13/05/08):

     "Web intelligence" - 15.800.000 docs  --->  The Web Intelligence Consortium (WIC) (

     "Cloud intelligence" - 1.720 docs  (?)


     We yet. 

  MKEM server

© 2000-2007, ENEA. Adam Maria Gadomski. All rights reserved. No permission is granted to download and save professional informations, images, or any other material from pages on the server other than for viewing and  citation purposes.  These are research pages, representing the opinions of the contributors, but not necessarily of ENEA.