Parameter
Role
Defalut Equation
value
" |
Motivation and preactivation factor. It is |
0.7 |
(7) |
$ |
Learning factor. |
0 |
(10) |
( |
Reactivity factor. |
0 |
(4) |
* |
Alfa adjustment interval factor. |
1000 |
(13,14) |
6 |
Perceptual persistence factor. |
0.25 |
(3) |
8 |
Learning factor. |
0.01 |
(10) |
: |
Unlearning factor. |
0.05 |
(10) |
D |
Speed of alfa adjustment factor. |
0 |
(13,14) |
j |
Motivational lesion factor. |
1 |
(7) |
N |
Reactivity/motivational lesion factor. |
1 |
(4) |
rP |
Radius of perception. |
20 |
(19) |
! |
Forget rate. |
0.1 |
(20) |
* |
Induction factor. |
0.3 |
(16) |
5 |
Imitation factor. |
0.5 |
(15,16) |
$ |
Lamed adjustment interval factor |
1000 |
(17,18) |
9 |
Speed of lamed adjustment factor |
0.05 |
(17,18) |
Table 3. Parameters Modifiable in the BVL
Both controls have a display to inform of the states of the simulation, environment, or
animat. The animat controls can display the actual state of the blackboard levels, of the
coupling strengths involved in the learning processes, of the "’s from the intero/extero/drive
congruence internal behaviour, and of the - ’s that regulate the imitation of behaviours.
5.5. About the BVL
All the presented properties of the BVL allow a wide variety of possibilities in order to
produce interesting experiments and simulations.
As with real animals, the animats in the BVL often present non obvious behaviours. But,
in difference with real animals, we can easily observe and change the internal states and
mechanisms of the animats, providing understanding of their behaviours, and also about
adaptive behaviour in animals. This is, not only it provides artificial adaptive behaviour, basing
ourselves in ethology, but it gives ethology back a greater understanding of adaptive behaviour
and its internal processes.
Our BVL at the present stage may be limited. But indeed it seems that you can never
stop counting the small details of animal behaviour you can simulate. For our present purposes,
all the properties of the BVL, enhanced by the ones of BeCA and the I&I model, seem to be
a good start.
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