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Postulate 4 (Law of the random fas).
In an environment with exoactivity
restrictions where each state is homogeneous and the state of the environment
changes randomly and instantly, if a population have the random fas value that is
adjusted to the probabilities of the environment and the number of its individuals
exceeds the number of states of the environment, this population has a higher
average time of exoactivity than whether they would have any sensitive fas value
or sequential fas value.
Postulate 5 (Law of the sensitive fas).
In an environment with exoactivity
restrictions where each state is heterogeneous and the state of the environment
changes in function of the previous environment state in a determinist way,
there is a sensitive fas value with which a population has a higher average time
of exoactivity than whether they would have any random fas value or sequential
fas value.
A state of an environment is heterogeneous if there is at least a space point that
has different characteristics to the rest.
All postulates that have been stated are falsifiable. The first would be false
if one found a kind of fas different of the kinds stated in the GTE, what is
equivalent to find a kind of computational function different of the three kinds
used in the GTE. The rest of postulates are hard to test with populations of
living beings, but can be tested with experiments in virtual worlds, since the
GTE covers nobiological autonomous systems. Thus, the GTE is a scientific
theory. Also, the last three postulates, which have been stated, are supported by
some biological evidences. The third postulate is supported by [7][6]; the fourth
postulate is supported by [4] [5]; the fifth postulate is supported by [1][2].
5 Discussion and Conclusions
Since the birth of AI, a theory to explain the behavior of biological and au-
tonomous nonbiological systems together has been sought and numerous pro-
posals have been done, but the goal has not yet been achieved. The theory
proposed in this paper is only the basis for developing a theory that achieves
this unification.The proposal made has several diculties which must be taken
into account. The first issue is that the GTE is a scientific theory, and therefore,
one of the following steps in the GTE must be making experiments to test the
postulates. Another diculty to consider is that it is not possible to know if the
GTE has more postulates other than those stated here.
Another important issue is that the proposal submitted does not explain any
particular behavior, since the theory states a fundamental equation whose un-
known factor is an intensional computational function. So, until there is an inten-
sional computing function that generates an exobehavior there is not a precise
explanation for this. Thus, GTE will achieve explain completely behaviors only
if all the solutions of each exobehavior equation are found, but it presents two
problems: there is no mechanical method to do it and the number of functions
could be very high.
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