Computational Verb Systems: Verbs and Dynamic Systems

Computational verb systems are new systematic frameworks of artificial intelligence by embedding the knowledge and experiences which are expressed or implied by verbs into machine intelligence. It turns out that verbs are very important to describe the dynamics of complexities for the survival of human beings. Verbs are also very important building blocks for transferring and representing human experiences. The applications of verbs to modeling complexity are discussed. The dynamics of linguistic expressions are viewed as the usage of verbs. Nonlinear and linear dynamic systems are used to model and classify verbs. Based on these models of verbs, the dynamic aspects of linguistic expressions, which associate with qualitative descriptions of human experiences, can be described quantitatively. In particular, verb models of both simple and complex dynamic systems are provided to show how to use computational verb systems. The problem of computing with verbs (verb computation) is also studied. The relationship and computation between verbs are modeled by relations between different dynamics. The classical “equality” is generalized to verb equality, which is synchronization or generalized synchronization between dynamic systems. Different schemes of synchronization between dynamic systems are presented to show how rich the verb equalities can be. To illustrate the application of verb computation, a simulation example of “understand music” is presented to show how emotions and intuitions can be transmitted through music by a process of computing with verbs. An application of verb computation to unmasking chaotic shift keying is presented. c ©2002 Yang’s Scientific Research Institute, LLC. All rights reserved. Received by the editors August 23, 2002 / final version received September 20, 2002.