|Paradigms of Personoids||
| White e-paper, since 1997, before on
|ENEA >CAMO> HID Group|
| Personoid does not need any human-like physical body,
it is rather an abstraction of certain functions of human mind which
can be considered as a basic entity for any, always goal-oriented, intelligent
The personoid cognitive skeleton is a carrier of "reasoning" frames. Of course, various reasoning "mechanisms" is possible to insert into the personoid architecture.
The TOGA personoid architecture is not intended as an exclusive unique structural framework of intelligent agents/systems. Personoids could be seen as one of possible abstract "species" of intelligent agents. Therefore if we use the term 'personoids' then we rather think about the TOGA intelligent cognitive agents.
The real personoid utility depends on the model of implemented "intelligence" . It could be installed and specialized on a portable computer using a generic "intelligence kernel" available on USB key (added: Jul.2005).
The construction of personoids' mind is founded on elementary relations between following basic concepts:
knowledge, k :how situation may be classified and modeled, and what is possible to do
preferences, p :what is more important
goal, g : what should be achieved.
Let us clear the meaning of some terms which are used in the subject matter literature.
domain-of-activity of an agent is the reference domain of its/his/her knowledge and, from the point of view of an external observer, it can be called knowledge reference domain.
information - a conceptualization either of the states of the d-o-a itself, or of the state of another world of objects which are symbolically represented in this d-o-a.
knowledge - an abstract carrier of reasoning processes, it is verified in an adequate knowledge reference domain or is acceptable after a rational meta-reasoning.
Knowledge has two components:
intentions - hypothetical states of domain-of-activity which either are candidates to be intervention-goals or were intervention-goals but without success.
For more see: http://erg4146.casaccia.enea.it/GKE-para.htm
All above basic concepts have object-property, i.e. can be aggregated and decomposed according to the TOGA abstract objects framework (the TAO theory) .
One of the fundamental TOGA assumptions is that i, p, g, k are defined only all together by three generic reasoning processes executed by:
- Preferences System, PS; it is activated by information coming from the Domain representation System. PS consists of preferences rule bases PRB and an intervention-goal generating mechanism.
- Knowledge System, KS; it is activated by goal coming from the Preferences System. KS consists of knowledge bases and a mechanism of intervention-procedure generating.
Data flow among monad's components is illustrated on Fig. 1.
They can be represented as follows :
goal00 := PR inf11 ;
inf22 := KN [goal00] inf12 ;
AD, PR ,KN - denote mathematical operators which,
subsequently, are properties of ADS, PS, KS systems.
More flexible are personoids. In the above context, a personoid is an abstract entity which is able to reason about, and to modify its own knowledge and preferences (i.e. to learn and to change goals).
Personoids consist of the hierarchical pyramidal structure of monads. For the modifications of KN and PR of the basic monad, these two systems must became domains of activity for two monads located on the higher meta-level. Every next meta-level may include more monads. This structure is illustrated on Fig. 2. up to three levels.
In this way , the generic representation of
a learning process is the following:
KNn is an operator of a n-th meta-knowledge system,
infij (ADn) is an i-th information which modifies the abstract d-o-a, ADn ,
goal12 is a goal created on the 1st meta-level of AIA, and KN1can be modified by inf44;
KN1 := KN1 Å inf44(KN1),
where X Å Ydenotes a meta-operation of a structural sum of Y and X systems.
- In practice, personoids should act in two and more domains. Usually, the second domain of personoid activity is the domain of communication, it is managed, for example, by a communication monad. In this case, multi-domain personoids have three-dimensional architecture. Such architecture is now under investigation (see yet)
A.M. Gadomski, S. Bologna,
G.DiCostanzo, A.Perini, M. Schaerf.
Towards Intelligent Decision Support Systems for Emergency Managers:
International Journal of Risk Assessment and Management,
IJRAM, 2001, Vol 2, No 3/4.
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