Semiotic oriented autonomous intelligent systems engineering

Introduces a first proposal on how to use semiotics in order to improve software engineering methods, when intelligent autonomous systems are targeted. First we investigate the current flaws in software engineering, concerning intelligent autonomous systems. Then we propose a knowledge taxonomy, based on semiotic ideas, aiming at a tool to understand the information domain of intelligent autonomous systems. Further, we illustrate how to use the notion of knowledge types during the development of a simple intelligent autonomous system, emphasizing the relationship between the described types of knowledge aiming at the understanding on how they are organized into an intelligent autonomous system. After that we review the idea of the generalized subsistence machine (GSM) proposed by Meystel (1996) as a possible tool (not the unique nor the best one) to represent the information domain of intelligent autonomous systems. Finally, it is shown how both ideas might be used in the requirement analysis step of any software engineering method when an intelligent autonomous system is targeted. As a conclusion, we discuss the future works and trends of semiotic intelligent autonomous systems engineering