I am interested in the idea of Goedel machine, proposed by Jurgen Schmidthuber (http://people.idsia.ch/~juergen/goedelmachine.html).
It is described by the author as "self-referential universal problem solver". I am trying to clarify the concepts in order to implement the Goedel machine for machine learning of robots. Could you point out any practical applications of Goedel machine (as simple as possible) and their realizations? Thank you in advance!
The following link may help
http://link.springer.com/chapter/10.1007%2F978-3-642-22887-2_29
the following links are helpful to you
http://link.springer.com/chapter/10.1007%2F978-3-540-32274-0_1
http://www.codeproject.com/Tips/99879/Implementing-state-machine-transitions-with-Godel
http://people.idsia.ch/~steunebrink/Publications/AGI11_goedel_machine.pdf
http://www6.in.tum.de/Main/Publications/Schmidhuber2005b.pdf
"The authors Subrata Ghosh, Krishna Aswani, Surabhi Singh, Satyajit Sahu , Daisuke Fujita and Anirban Bandyopadhyay introduced a new class of computer which does not use any circuit or logic gate. In fact, no program needs to be written: it learns by itself and writes its own program to solve a problem.
Gödel’s incompleteness argument is explored here to devise an engine where an astronomically large number of “if-then” arguments are allowed to grow by self-assembly, based on the basic set of arguments written in the system, thus, they explore the beyond Turing path of computing but following a fundamentally different route adopted in the last half-a-century old non-Turing adventures."
see:
"Design and Construction of a Brain-Like Computer: A New Class of Frequency-Fractal Computing Using Wireless Communication in a Supramolecular Organic, Inorganic System"
Information 2014, 5(1), 28-100; doi:10.3390/info5010028
Article Design and Construction of a Brain-Like Computer: A New Clas...
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