Towards Machine Mind Evolution
Ján Kollár, Michal Sičák, Milan Spišiak
DOI: http://dx.doi.org/10.15439/2015F210
Citation: Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 5, pages 985–990 (2015)
Abstract. We introduce the principles of symbolization and conceptualization of perceived reality. We show them as processes that are applicable inside of a computer mind. We derive those processes from principles of a human mind. We present process of higher order regular abstraction and state automata acceptance as possible machine reality realization mechanism. We present the algorithm for evolution of machine mind language. Verification of this algorithm is presented in functional language Haskell. On the output, we have obtained fine-grained parallel non-redundant structure. It is in super-combinator form and represents elements of a machine mind language. Count of elements applications highly exceeds the count of elements themselves. Instead of accumulating acquired information, they are dissolved in the language of a mind. Vice versa, the information can be reconstructed from this language. We show that non-redundancy of a machine language is the decisive criterion for restructuring the machine mind language in each moment of communication. It is like that, so we can achieve more powerful and abstract communication between humans and computers or between computers themselves.