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the desirable situations stack, and so on until there do not exist more desirable SítUatíOnS or
is found a plan. If the stack is emptied and no plan was obtained, there are generated plans
by contingency. If at least a plan was found, ís weighted to obtain its acceptabílíty.
5. PONDERATION OF PLANS
The knowledge that the system possesses as the set of theoríes at a given time can be
viewed as a model of how íts envíroment will react to to the system’s actions. The quotíent
P/K of a gíven theory, can be asumed ‘as an estimator of the probability [Calistrí-Yeh, 19901
of the fact that given the the action Ak applied to a situation Si gíves ,the resulting situation
Sj.
.
The situatíon Sj verífies the predicted effects of’ the considerate theory.Therefore the
knowledge that the system has for a given instant can be thought as the transítion matrix Mk
of the adíon Ak, that has on the posítion (í, j) the quotient P/K of the theory that possesses
the supposed conditions Sí, the predícted effects Sj and the action Ak.
6. EXPERIMENTS
The autonomous system that was simulated answered. successfully to the experiments in
whích ít was ran. In the environment the system demonstrated capacity to understand and
express intelligent behavíors while records experíence (theories) of the enviroment ín which
it was proven. For the presentation of the results obtaíned in the experíment thís paper have
been guided by the structure proposed by Matheus [1990, 1990b]: The results of
experimentatíon can be shown in the following graphic:
Axis Y: Average of Succesful Plans
Axis x: T i m e
%P.E. BASE: Average of Succesful Plans without mutation and ponderation
‘.%P. E. C/A: Average of Succesful Plans wíth mutation
%P. E. C/P: Average of Succesful Plans with ponderation
%P . E . C/(A+P): Average of Succesful Plans with mutation and ponderation
90
8o
70
60
5o
40
30
20
This results empiracally show that:
1. Theory mutatíon by heuristics improve the system behavior.
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