Towards XML As A Secure Intelligent Agent Communication Language
Alexander D. Korzyk · 2000
Intelligent software agents can exchange information and knowledge in a way similar to humans by using different methods of communication. This paper shows how different agent communication languages provide varying amounts of information richness similar to different media providing various amounts of information richness for humans. Agents, by definition, may perform functions to assist humans or other agents. Thus, it is imperative to have sufficient information richness between agents, between humans, and between humans and agents. Information richness theory and media richness theory provide the theoretic foundation of this paper. In the last decade, researchers have based most agent development upon highly complex artificial intelligence, rather than on simpler information system theories. I propose that the Extensible Markup Language (XML) ensemble provides sufficient information richness as an agent communication language to be the catalyst for secure business-to-business electronic commerce (B2BEC) on the Web.