%0 Journal Article
%T Dimensional Complexity and Algorithmic Efficiency
%A Alexander Odilon Ngu
%J International Journal of Modern Nonlinear Theory and Application
%P 1-10
%@ 2167-9487
%D 2022
%I Scientific Research Publishing
%R 10.4236/ijmnta.2022.111001
%X This paper uses the concept of
algorithmic efficiency to present a unified theory of intelligence.
Intelligence is defined informally, formally, and computationally. We introduce
the concept of dimensional complexity in algorithmic <span>efficiency and deduce that an optimally efficient algorithm has zero <i>time</i> </span>com<span>plexity, zero <i>space</i> complexity,
and an infinite dimensional complexity. This</span> algorithm is used to
generate the number lin<span style=\"font-size:10.0pt;font-family:;\" \"=\"\">e</span><span style=\"font-size:10.0pt;font-family:;\" \"=\"\">.</span>
%K Symbolic Intelligence
%K Dimensional Complexity
%K Algorithmic Efficiency
%K Notational Unification
%K Turing Complete Machine
%K Unified Theory
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=115691