METHODS OF AGENTS CONTROL IN MULTI-AGENT EXPERT SYSTEM

Abstract

In the article we discuss the user models interacting with distributed network resource, where every user has a correlated agent, as well as on the methods of multi-agent expert system control.

Full Text

The administration of distributed network resources requires solving tasks, concerned with the complexity of resource-to-user interaction organization. To solve the set task [1] the following multi-agent expert system (fig. 1) has been developed. To organize interaction between users and distributed network resource on a basis of the developed multi-agent expert system model we will consider the following models of agent’s behavior coordination [2–6]: 1. Game-theory modes – solve the tasks of selection solutions in conditions of equivocality and conflict, which if followed, allow the constructing of rule sets and conversations, permitting agents to achieve equilibrium agreements. 2. Models of collective behavior for automats – are based on constructing conversation rules and protocols in tasks, which are characterized by a large quantity of simple interactions with indeterminate characteristics. 3. Models of collective behavior planning reveal methods of agent behavior planning (centralized, partially centralized, distributed) for the purpose of making decisions regarding the selection of self-actions in the process of implementing the plans’ coordination. 4. Models based on BDI-architecture – apply axiomatical methods of the game theory and the artificial intellect’s logical paradigm. The task of the agentscoordination behavior consists in coordinating the output results in the knowledge bases of these agents, obta