Adam Adam 8 49 2004-11-07T16:22:00Z 2004-11-07T17:11:00Z 1 432 2464 ENEA 20 4 3025 9.2812


short e-paper

  Virtual Technologies (VirT)

  Visual Representations  of  Human's  Domains of Activity:
   a TOGA meta-theory based  preliminary identification



Adam Maria Gadomski








Human-Problem Cognitive Interface



This e-paper is a key technical note dealing with a top analysis and top-down taxonomy of goal-oriented visual representations of the human domains of activity/interest.

Human domains of activity/interest may be a part of either physically perceived real world, or  mental constructs, such as problems, plans, theory,  imaginary models or situations.

For the definition of the problem we use the TOGA  meta-theory specification framework.

  VirT cognitive context   

Every real world problem involves passive and active components, i.e.  the couple: Intelligent Agent (IA) and h/h/its Domain-of-Activity (D), where D includes the problem domain.  
Every human agent constructs an abstract Virtual Domain-of-Activity (ViDA). It has to have  properties which are related to the goal of the assumed problem..

Virtual technologies are technologies which serve for the representation of elements and events of the real, invented and abstract human worlds in the form of dynamic images. These worlds or their parts are visually perceived and interpreted by humans like as really existing physical objects.
Therefore, virtual images are used for the optical observation of different simulated behaviors which either are not observable by human eyes or do not exist physically.

Image perception and elaboration are most efficient capacity of human senses and brain. 


According to the axioms of the TOGA meta-theory:

 - every problem is goal-oriented/based/ purposive and can be represented as a system of abstract objects. There is possible to create an isomorphic relation between such abstract objects representation and a system composed with images of real-world objects and animating their behavior using the metaphor relation.

   Application Domains
The VirT are applied for  the creation of images of problem-oriented Virtual Worlds. 

   Application Objectives
Virtual Images serve for information acquisition, learning (knowledge acquisition), design, action planning and, in general, for evaluation of the decision making hypothesis in complex domains.

We may distinguish 5 basic domains of the application of VirT:

1. Visualization of difficult analyzed or planed  RW (real world) complex dynamic systems/scenarios if it is more economic than their physical construction.
Specially  used in engineering for "What if" simulations.

2. Visualization of impossible to do  in RW, such as, dangerous destructive experiments and natural disasters.

3. Visualization of unavailable for observation behavior of hardly accessible elements of RW; too big, too small, hidden inside of RW objects.

4. Visualization of invisible properties of RW, such as fields of temperature, radition and other physical spatially distributed attributes.

5. Visualization of inexistent physically entities, such as, imaginary/invented beings,  abstract objects, and their interrelations and interactions.
For example, by the mapping of mental constructs to the graphical RW like objects.

Visualization of Abstract Objects

The first, well known, step in the visualization of  mental concepts has been the elaboration of standards of the visualization of abstract objects and their relations using simple  two dimensional graphical figures. It includes different types of  flowcharts, graphs, Petri net, and so on. their common property is the representation of abstract objects and  their interrelations but without metrics of the introduced space. 

This approach is used, for example in the Microsoft Office Visio (2007) tool and described in details in the book of T. Kamada  & S. Kawai (1991), A general framework for visualizing abstract objects and relations, ACM Press   New York, NY. Unfortunately, the application of graphical symbols is driven by user-defined mapping rules, frequently intuitive and not explicity formalized. Therefore only in particular cases these representations enable  formal operations on the grahical objects which  can lead back to the representation of the real or possible states of the relations between initial abstract objects.

The formal modeling and visualization process is here the following:

 Properties of physical objects --> Abstract Objects Model --> Graphical object network


Graphical object networks enable only mental navigation between recognized  strongly reduced physical properties of the interest.

"Physics of Mind":  RW Metaphor


Everyday scientific practice is the  projecting of RW entities on the abstract spaces of theories or other ontological systems.
A new possibility, especially promising for the scientific and practical purposes, is the mapping of human mental world on the RW directly as static and dynamic images.

Abstract concepts                  Images of 
system                        --->      the reality


The hypothesis of intelligent Virtual Technology is the modification of the fig. 1 to the sequence below.


 Properties of physical objects --> Abstract Objects Model --> Image of a virtual real world


Fig.2  Adam M. Gadomski' s hypothesis-proposal.


Such mapping should be dynamic and enable/help to solve many complex abstract problems using  relatively easy to solve RW situations, for example, a car driving.


At present, the idea of the metaphoric problem solving is the object of investigation in the frame of the TOGA meta-theory.


Use of the term Virtual Technologies

This  term meaning is frequently quasi idiomatic with  human-computer and multimedia technologies, but the domain 4 and 5 are not yet sufficiently explored theoretically.


International Journal of Virtual Technology and Multimedia  (IJVTM)

One of early proposals (1993)

   ENEA                                                                             abst-visual.prop

   PROPOSAL of the theme for International Cooperation

Proposal of the method for visualization of abstract concepts.
Author: A.M. Gadomski

The representation of dynamic abstract concepts/properties as a computer images of physical pseudo-reality, oriented on the human capacity of the perception of 2D and 3D color images and their modifications.
In other words it is the representation of information and knowledge
(ik) networks in graphical form.

Human abstract mental interventions on the level of ik frames and their contents  (a problem solution) are transformed into a direct interventions in the pseudo-physical world.

Elaboration of a mapping between the problem oriented ik
conceptual structures in computer, and a pseudo-physical o-r-c
(objects-relations-changes) image represented on the screen and controlled  by human user.

Monitoring, diagnostics and modifications
of Knowledge Based artificial reasoning processes (machine reasoning).

An expected  transparent and easy visual control of completeness,
congruence and importance, as well as, another integral variables and
parameters of the reasoning cases.

Virtual images' technologies, TOGA theory.


Google references :

"virtual technology" - 123 000 docs ( 14 Feb. 2007)

"virtual world technology" - 651 docs ( 14 Feb. 2007)

"metaphor modeling" -  454 docs  ( 14 May. 2007)


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