A rule based knowledge transaction model for mobile environments

Abstract

In this paper, we propose and formalize a rule based knowledge transaction model for mobile environments. Our model integrates the features of both mobile environments and intelligent agents. We use logic programming as a mathematic tool and formal specification method to study knowledge transaction in mobile environments. Our knowledge transaction model has the following major advantages: (1) It can be used for knowledge transaction representation, formalization and knowledge reasoning in mobile environments. (2) It is knowledge oriented and has a declarative semantics inherited from logic programming. (3) It is a formalization that can be applied to general problem domains. We show that our model can be used for knowledge transaction representation, formalization and knowledge reasoning in mobile environments. Crown

The optimal pricing model of online knowledge payment goods in C2C sharing economy

“…The research of traditional knowledge pricing is mainly for offline knowledge, focusing on the construction of knowledge trading mechanism, the analysis of influencing factors of knowledge price and the measurement of knowledge trading value. Chen and Zhang (2006) integrated knowledge formal representation and knowledge reasoning methods and built a knowledge transaction pricing model based on production rules. Lutao et al (2015) built a knowledge-priced multistage game model for knowledge pricing, analyzing and studying a variety of situations.…”

“…Chen and Zhang (2006) integrated knowledge formal representation and knowledge reasoning methods and built a knowledge transaction pricing model based on production rules. Lutao et al (2015) built a knowledge-priced multistage game model for knowledge pricing, analyzing and studying a variety of situations.…”