The mission of knowledge science is transformation. Humans encode thoughts, represent knowledge, and share meanings using patterns and language. Knowledge representation is the application of theory, values, logic, and ontology to the task of constructing computable patterns in some domain. The computational theory of knowledge predicts that ultimate economies and efficiencies can be achieved through variable-length, n-ary concept coding and pattern reasoning resulting in designs that are linear and proportional to knowledge measure.
This keynote was presented at two Kent State University (KSU) Knowledge Science Center (KSC) symposia held in Canton, Ohio and Washington, DC. As the title suggests, this presentation focuses on three aspects of the Knowledge Science Center mission: knowledge science, concept computing, and intelligent cities. The mission of knowledge science is transformation. Concept computing is the next paradigm. And, intelligent cities are a destination worthy of the journey.
First, we start with an explanation of what we mean by transformation and why transformation should be central to the mission of the KSC. Second, we share some thoughts about what we mean by knowledge, and more specifically, a computational theory of knowledge. Third, we overview the current state of knowledge technologies, and more specifically, the emerging paradigm we call concept computing. Fourth, we discuss development of intelligent cities as a mission for the KSC whose significance is worthy of the journey. This discussion includes examples of how the synthesis of knowledge science, concept computing, and knowledge management can power the transformation of urban centers into intelligent cities.