and manipulates inputs output of an active input interface 14 an intelligent inference system 16 and an output interface 18 the intelligent inference system is the core of the intelligent agent it consists of an expert system 20 a fuzzy logic inference system 22 and an adaptive neural network 24 here some schemes for proper parameter scaling tuning updating and learning are provided such that the intelligent inference system can be constructed and operated as a fuzzy inference system or as an adaptive fuzzy inference system or as an adaptive neuro fuzzy inference system unlike other current intelligent inference systems here the devised system is conceptually considered in a novel fashion at the rate of change level under this proposed framework a novel criterion i e measure of system performance is derived this criterion facilitates the implementation of a type of control system to the decision analysis resolution for the module design furthermore this criterion also permits the proper tuning and updating of the antecedent premise scaling and consequent parameters in the fuzzy logic inference system as a result the devised intelligent inference system exhibits some desirables features and properties such as efficiency reduced subjectivity stability with respect to small changes in the system inputs missing in other current intelligent inference systems the gathered information via the active input interface is passed to the coordinating module then it is properly transferred to the intelligent inference system which in turn generates a decision resolution diagnostic for the proper design of the descriptive module this decision resolution has taken into account user options and the experts knowledge it can be considered as an intelligent compromise the result of the decision resolution is finally feed into tie output interface for the actual generation and display the coordinating module of.