Our native intelligence captures and encodes our knowledge into oru bilogical neural networks, and communicates them to the external worldvia linguistic expressions of an tural language. These linguistic expressins are naturally constrained by syntax and semantics of a given natural language and its cultural base of abstractions. Next, an accepted scientific paradigm and its language further restricts these linguistic expressions when propositional and predicate expressions are formulated in order to express either assumed or observed relationships between elements of a given domain of concern. Finally the symbols are represented with numbers in order to enable a computationla aparatus to execute those assumed or observed relationships within the uniqueness of a given numerical sclae. In this manner, our knowledge of a particular system's behavior patterns are first expressed in a linguistic form and then transformed into computational expressins through at least two sets of major transformations stated above, i.e., first from language to formulae next from formulae to numbers.
展开▼
