Information Technology Reference
In-Depth Information
networks) and results of experimental evidence (e.g. unexplainable human phenom-
ena) to propose research synthesis - working hypothesis with aim to contribute on
open problems, walls in computer science.
4.1 Research Objectives
Here we briefly list main research objectives as concludes from research motivation
and proposed working hypothesis (see section 4.2 below).
•
Proposal of working hypothesis on human information capabilities motivated by
open problems in computer science (this paper).
•
To approximate model of human information capabilities related to working hy-
pothesis (briefly this paper).
Proposal of experiments: to verify presented information hypothesis, to design
computable/communication patterns and to contribute on walls in computer sci-
ence (briefly this paper).
•
•
Perform of proposed experiments (future work).
In conclusion to explore human information capabilities and explain how human
computation may be performed via designed human computable model.
4.2 Working Information Hypothesis
In classical computer science there exist many human/natural based approaches (e.g.
iterative evolutionary approach). These approaches are commonly studied separately
in contrast to real world evidence. Here we assume these approaches as cooperative
system, research synthesis rather than stand alone approach (to be closer to real hu-
man). This also reflects real evidence of human scientific results (psychology, neuro-
biology, and quantum mechanics) [12, 36, 30, 10]. Whole hypothesis is divided into
three parts and linked together. Now, we postulate hypothesis statements conse-
quently.
4.2.1 Working Hypothesis (
H
1
)
Rather than describing human information capability like independent neural net-
work, iterative evolutionary computation or fuzzy system, etc, we are assuming the
synthesis of these approaches as cooperative information (computing and communi-
cating) system based on neural networks, molecular neurobiology, evolutionary ap-
proach and phenomena related to quantum mechanics at least (as proposed on refer-
ence information human model, see figure 4.1).
In real world human mind, thinking is related to brain functions, where brain includes
biological neural network (here is the reference to level of neural network computa-
tion).
Biological neural network describes a population of interconnected neurons or a
group of disparate neurons whose inputs or signaling targets define a recognizable
circuit. This circuit is evolvable and reconfigurable [21] (here is the link for iterative
evolvable approach).
The field of molecular neurobiology overlaps with other areas of biology and
chemistry, particularly genetics and biochemistry and study behaviors on molecular
