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HHS |
Hereditary
Hybrid Societies |
One
important step to the solution of the named problems is the objective of the HHS-project:
Analysis
and understanding of information inheritance principles and processes in nature.
The concept to learn from nature and human is not new but still fragmentary in
science. To mention: the connectionist approach, pattern recognition and data
mining, artificial intelligence, expert systems. These researches evolved in
coherence with technical possibilities and advances of biological and societal
studies. A broad multidisciplinary research of knowledge models is necessary to
create hybrid human-machine societies, which is the internals of advancing AmI.
It
is well known that the future ICT systems are more and more science embedded and
user centred. Apart the needs of specific scientific and businesses computation
systems have to provide more and more intelligence. The requirements analysis
shows the lack of base research results in information regulation principles of
individual and societal behaviour, in
hereditary ICT systems and solutions. The question is in developing and
owning the technologies, which, being in line with the determined ambitious
perspectives of 6th FP is also the key issue of future ICT
businesses. Experimentation on technologies in question is possible on base of
knowledge available today - algorithms, adaptive and developing systems. This
will provide some approximate solution and functionality, for experimentation,
without a guarantee of effective functionality. The effectiveness of such
systems requires specific researches, which, in future, will become the basis of
the targeted next generation solutions.