Quantum aspects of semantic analysis and symbolic artificial intelligence

Quantum Aspects of Semantic Analysis and Symbolic Artificial Intelligence

when one moves downwards starting from the first row. Now let us define the functions F and G by F (a) = F (d) = F (e) = F (h) = F (i) = F (l) = F (m) = F (p) = +1, F (b) = F (c) = F (f) = F (g) = F (j) = F (k) = F (n) = F (o) = −1, G(x1x2x3x4) = F (x1) + F (x2) + F (x3) − F (x4). On each four-character string of the regrouped part of the text we evaluate the value of G and take its average val...

Artificial Intelligence: Connectionist and Symbolic Approaches

Symbolic Artificial Intelligence, Connectionist Networks and Beyond

Semantic information and artificial intelligence

For a computational system to be intelligent, it should be able to perform, at least, basic deductions. Nonetheless, since deductions are, in some sense, equivalent to tautologies, it seems that they do not provide new information. The present article proposes a measure the degree of semantic informativity of valid deductions in a dynamic setting. Concepts of coherency and relevancy, displayed ...

Symbolic Artificial Intelligence, Connectionist Networks & Beyond

The goal of Artificial Intelligence, broadly defined, is to understand and engineer intelligent systems. This entails building theories and models of embodied minds and brains -both natural as well as artificial. The advent of digital computers and the parallel development of the theory of computation since the 1950s provided a new set of tools with which to approach this problem -through analy...