Integration of problem-solving entities and processing entities in a coherent model; basis of a method of application (abstract only)
WHAT IS THE PROBLEM?: *Artificial Intelligence in Large Scale Systems (LSS) is a very important stake *Lss integrate problem-solving entities and processing entities. *Expert-systems (problem-solving entities) design is currently driven independently of Information systems (processing entities) design in LSS applications. The GOAL of this paper is to present, for LSS applications, a coherent model integrating problem-solving entities and processing entities, and the basis of a method for application. THE MAIN THREE IDEAS of this model: I)-Problem-solving entities can be cooperative or antagonistic (at the difference of many researchers on distributed problem-solving network who consider only cooperative problem-solving entities). 2)-Problem-solving entities are integrated in closed loop feedback (FBI control circuits constituted with problem-solving entities and processing entities. 3)-using the same structure as biological distributed systems: Lower FB are included in higher ones of which goals are to regulate production at a higher level. Certain FB are inner ones, other ones are partly imbricated, other ones are superimposed. Positive and negative FBs are imbricated, they function as antagonistic entities at different levels. The final level of production of the network is regulated by a "balance" between antagonistic entities at different levels, this results to a permanent adjusted production of the global system, at all levels. These ideas were highlighted from biological distributed systems in an epistemological approach (Huet 85). The COHERENCE of this distributed network is studied through global approach and local approach: "As early as 1965, it was demonstrated that a closed loop negative FB control circuit can be described by a set of differential equations, later simulation on computer of dynamical behaviour highLighted oscillations with damping, oscillations without damping (according conditions). * Mathematical studies involve essentially differential equations and various mathematical analysis (Popov criterion, Lyapunov method, Hopf bifurcation theorem, graph, boolean analysis). A METHOD able to drive in coordination Expert-Systems (problem-solving entities) design and Information Systems (processing entities) design is necessary TO IMPLEMENT this model in LSS. The functional basis of such a method are theoretical arguments and experimental ones (Huet 86a). Premisses for this method have to consider four subproblems (Huet 86b): l)-The problem-solving-entities design method (PSEDM): two basic points have to be solved:-what concepts to represent?-how to represent these concepts? 2)-The processing entities design method, many good operational methods are available (IFIP 83); it is necessary to select the methods which are best suited by PSEDMs. 3)-The communication problem between the two types of entities; 4)-The problem of …