Computational Verb Theory: From Engineering, Dynamic Systems to Physical Linguistics

Computational verb theory (CV) was invented by Tao Yang in 1997 in the Department of Electrical Engineering and Computer Sciences, University of California at Berkeley. Since then, CV has been growing up into a multidisciplinary scientific field attracting attentions of researchers from information sciences, linguistics, biology, psychology, physics and computer sciences. Pushed far beyond fuzzy theory, CV is the first step towards building a complete artificial language into machines. The ultimate goal of CV is to build dynamic irrational intelligence into machines. CV also bridges the gap between physics and linguistics to give birth to a measurable linguistics; namely, physical linguistics. In physical linguistics, many classical linguistic problems such as verb classification and telicity in verbs were studied from an entirely new standpoint. Surprisingly, the bifurcation theory of dynamic systems leads to solid and precise solutions to many linguistic problems such as verb categorizing tests and verb ambiguity. CV also provides a platform of solving engineering problems based on dynamic experiences in the form of verb if-then rules. Such engineering applications include verb controllers, verb prediction and verb image processing. Written by the founding father of CV, this is a lucid, solid and timely monograph for professionals, scientists, academic researchers and students in information sciences, linguistics, fuzzy logic, computer sciences and control engineering.