Systemic approach to meaningful
An existing systemic
to meaning generation
(usable for animals, humans
and robots) has recently
been extended to the notion of meaningful
The starting point is a system submitted to a
constraint (stay alive, avoid
obstacle, ..) that receives information from its
environment and compares
it with its constraint.
The generated meaning is the connection existing
between the received information
and the constraint. It triggers an action aimed at
satisfying the constraint
(avoid predator, turn right/left, ..).
A Meaning Generator System (MGS) has been introduced.
It can be used for any
agent submitted to constraints.
The notion of meaningful representation of an entity
for an agent is defined
as being the networks of meanings related to the
entity, with the action scenarios.
2011 proposed abstract
Such meaningful representations are used in the
approach on artificial consciousness
based on self-consciousness (http://robots.ne
More is to come on this. Christophe Menant