Construction Method And Application Of Agent Based On Answer Set

Agent is a computer program that can simulate the behavior of people or things and provide specific services independently.Since the concept was put forward,agent models and logical reasoning tools with various mechanisms have been proposed,and their good initiative and adaptability have been widely concerned by intelligent system builders.This paper summarizes the basic theory of Agent,and explains the role of knowledge representation and reasoning in the construction of Agent.The grammar and semantics of answer set tool based on non-monotonic reasoning mode are explained in detail.The programming of answer set and the usage of its solver are introduced.On this basis,combined with the requirements of warehouse security management,this paper uses the classical model BDI model of Agent,gives the construction method of Agent based on answer set,builds a multi-agent collaborative verification platform,and tries to use Agent technology to solve the intelligent transformation of traditional application system.This paper focuses on the requirement of warehouse intelligent security task to study the construction method and application of Agent,the practical work is as follow:1.The autonomous work of multi-agent with different tasks and responsibilities and the mode of mutual cooperation are explained;the task planning of agent based on BDI model is described,the internal structure and working mechanism of BDI model are explained in detail;and the behavior planning method of agent is introduced in detail.2.The knowledge representation symbol language L_P is created according to the responsibilities of security agent,which defines the unified abstract symbols for knowledge representation,interaction and state description,defines the predicate set corresponding to the related ontology knowledge,uses the L_P language and BDI model to plan agent's behavior,and describes the system as a dynamic response set application program to solve the problem.3.A solution to the conflict of beliefs in multi-agent collaboration process is given,and the theoretical basis of this method is explained.Equibel,a technical framework based on the change of consistent beliefs in response set,is used to realize the sharing of beliefs among agents and the renewal of their own beliefs.4.Based on the theory and technology application background,a multi-agent collaboration platform is built on the server based on Python virtual machine and open source technology framework;the specific implementation methods of interface modes of service components are given,and the specific route of planning tasks and information exchange is introduced;and a self-built intelligent hardware management cloud service platform is used to deploy and implement a multi-agent collaboration platform.A verification demonstration platform for warehouse security management is presented,and the experimental results are displayed through the front-end interface.The experimental results show that the method proposed in this paper is effective.Answer set,as a non-monotonic reasoning tool,has a good representation ability for the knowledge representation of Agent.The construction scheme of intelligent system proposed in this paper has certain universality,which can provide some reference for the intelligent transformation of traditional application platform.