Fuzzy agents for ICa

Fuzzy technology offers a proven way to achieve higher functionality levels by means of the seamless integration of human knowledge into high performance computational systems. Fuzzy information processing is of decisive importance to the automatic control systems domain, where fuzzy technology has had one of the main application fields. The use of fuzzy technology in complex control systems is gaining wider importance, due to an inherent robustness in the behavior of the fuzzy information processor. The ICa intelligent control architecture and methodology provides an effective way to build complex controllers for applications with special requirements, in particular in the domain of autonomous controllers. This paper presents a tool for building fuzzy agents for ICa. Using this tool and architecture, the effort needed to build an integrated fuzzy processor is greatly reduced.