Information Technology Reference
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In addition to the above diculties, the reader may find hard to accept the
idea of a property of matter to explain behaviors and the double macrosco-
pic/microscopic interpretation. But the situation is similar to that of thermo-
dynamics, where there is a property when the system is observed at the macro-
scopic level, the temperature, which has a microscopic interpretation, and there
are laws that govern the interactions between systems based on the property.
Moreover, intelligence, although we are used to the term, is also a property that
is considered the cause of cognitive behavior.
Despite the above diculties, the GTE has important differences compared to
the proposals made so far to explain behavior and give a foundation to AI, and
that makes it very interesting. One of the differences of the new proposal against
any of the unified theories of cognition and its corresponding cognitive architec-
ture [16] [17] is that under the same principles GTE covers all the behaviors,
while unified theories of cognition only deal with cognitive behavior. Subsump-
tion architecture [18] aims to include reflexes and cognitive behavior, but leaves
out random and cyclical behavior researched in the last decade. Another dif-
ference from the TGE compared to the previous proposals and mathematical
proposals, such as AIXI[19], Godel machines[20], or Ortholattices [21], is that
GTE is based on a physical property and its postulates are empirically falsifiable,
so the GTE give a foundation to AI as science. Regarding proposals of physical
character, such as Penrose[22] based on quantum physics, or Doyle [23] extend-
ing classical mechanics, the difference is that GTE is based on a different field of
the other proposals, the physics of information. Also, the GTE does not break
with cognitive psychology research, or AI research, since due to the microscopic
interpretation of the fas GTE is a new framework where all can be looked from
a new point of view (e.g. a cognitive architecture is considered an value of fas
by GTE). Moreover, due to its microscopic interpretation and its consequences
on populations, fas is a bridge between the world of atomic particles and the
world of the theory of evolution, a bridge between physics and biology. Because
of this, if the experiments support the theory it takes a step towards a better
understanding of nature.
In summary, the GTE is a different proposal from those that have been done
so far, and although the proposal is complex and has many diculties to be
developed, it also has many benefits. Therefore, it is necessary to research in
the proposal, because an interesting horizon will be opened through it if the
experiments support the theory.
References
1. Tagkopoulos, I., Liu, Y., Tavazoie, S.: Predictive behavior within microbial genetic
networks. Science 320(5881), 1313-1317 (2008)
2. Mitchell, A., Romano, G.H., Groisman, B., Yona, A., Dekel, E., Kupiec, M., Dahan,
O., Pilpel, Y.: Adaptive prediction of environmental changes by microorganisms.
Nature 460(5881), 220-224 (2009)
3. Marijuan, P.C., Navarro, J., del Moral, R.: On prokaryotic intelligence: Strategies
for sensing the environment. Biosystems 99(2), 94-103 (2010)
 
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