ABSTRACT LANGUAGE OF THE MACHINE MIND
Ján Kollár, Milan Spišiak, Michal Sičák · Acta Electrotechnica et Informatica · 2015
In human-computer communication, abstract language of the machine mind should be represented by language concepts that reflect language concepts of humans.Language concepts are abstracted in the process of conceptualization and their meaning is given by meaning of symbolized reality of surrounding world.That is why each concept represented internally has meaning by definition, following semiotic approach.In this paper we present the description of our solution to the machine mind, so far restricted to regular languages.To show that the mind is the language not just a grammar, we introduce briefly the principle of symbolization and conceptualization, omitting semantic aspects of thought.As a result, we get a supercombinator form for the internal language of the mind.We do not solve here the language of thought in the sense of machine thinking.Using simple example of story occurring frequently in the animal world, we will simply suppose that the stories represent external structured symbols and are approved be their existence.We are focusing on their internal representation in the machine mind, which has language substance.First, we show how structural explosion in the mind is prevented by well-performed abstraction during conceptualization.Second, introducing formalism of meta-lambda calculus -an application of lambda calculus to regular expression, we present algorithmically evolved abstract internal language of the machine mind in supercombinator form evolved by absorption of structured symbols on the machine input.