The Theory of Meaningful Information (abbr. TMI) is a general
theory that can be applied to information of every type, level and complexity. TMI explains the nature
and functionality of information and enables the production of relevant definitions
regarding language and knowledge, which remain operative also in the case of non-human
languages and knowledge systems. Every piece of information, expressed
in any natural language or whatever formal system, can also be expressed in the
terms of TMI concepts without losing any of the semantics.
TMI contains the axiomatic theory of intelligence permitting the explanation and reproduction of intelligent
algorithms of both natural and artificial intelligences and the theory of the universal knowledge representation language,
which actually allows such a language to be constructed. The intelligence
theory is based on the model of a strong AI, which completely complies with the
requirements of a strong AI originally formulated by Weizenbaum in 1976. This makes
it the first model matching these requirements.
The conceptual effectiveness of TMI is based on its breakthrough approach, which
consists in extending the universal methods of information formalization developed
in mainstream programming outside of its original domain. This theory basically
rejects all mathematically based concepts of language, information and intelligence
as completely irrelevant.