Thinking Machine Language

Vladimir Gusev

Abstract


Unlike most works in the field of artificial intelligence, this work is devoted not to machine analyses of natural human languages but to the syntheses of a new machine language that is similar to human languages. The current work is not yet intended to create a new language but to prepare the basics of the language and to investigate the possibility of creating the Thinking Machine Language (TML). This work is oriented to software designers who would like to participate in the creation of the language based on the new principles, which have the following properties:

-              TML is a high-level machine-to-machine (M2M) language that is similar to natural human languages

-              All machines could learn and speak English, which could also be used as an M2M, but TML is more specifically adapted to machines. Compared with English, TML could be more effective in M2M dialogues.

-              Machines participating in a dialogue can understand what they are speaking and doing

-              The language is self-sufficient and linguistically independent since TML has no direct relationships with existing human languages

-              TML is an explanatory language based on the principle of WORD – LINK – IMAGE, where IMAGE is a description of a WORD by the WORDs of the same language, TML

-              The “heart” of TML is the Main Memory Array (MMA), which is a table of two or more dimensions made out of WORDs, LINKs, and IMAGEs

-              TML has a Main Processing Module (MPM) that provides all logical functions in TML and is a part of the Main Memory Array

-              All logical functions like reasoning, inferences, and decisions could be realized in TML at the high level of TML WORDs and IMAGEs

-              The language is autonomous: all WORDs and IMAGEs of TML are internal to the language and are therefore available for understanding by a machine

-              The language is arranged as a multi-layer system, which allows the language to be improved at every layer without disturbing the other layers

-              The language can be seen as the eighth layer of the ISO 7-layer model

-              Machines speaking TML are capable of self-learning in dialogues with other machines. This means a machine can improve its own language (by making changes in MMA) in dialogues with the TML education center or with other machines in the network.

-              The language features controlled learning, which supposes the existence of different classes of machine intelligence for different classes of machine applications and for human control

-              The language opens new possibilities for machine thinking, artificial intelligence, and machine personality.


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ISSN : 2251-1563