Horizontal cooperation under uncertainties in distributed expert systems

Abstract

A model of horizontal cooperation under uncertainty in distributed expert systems is presented. This model uses the synthesis of solutions under uncertainty and decision-making to fulfil horizontal cooperation. Firstly, a Boolean algebra is used in order to represent the solution synthesis hypothesis space in the model. Then, a generalization of evidence theory is used as a mathematical model to synthesize all conclusions which come from other expert systems. Finally, a competing mechanism is introduced to make the decisions.