Simulation method and device for multi-agent simulation modeling, equipment and medium

Abstract

The invention relates to a simulation method and device for multi-agent simulation modeling, equipment and a medium. The method comprises the steps of acquiring a multi-agent simulation task; splitting the multi-agent simulation task into a plurality of simulation events, and splitting the simulation events into simulation objects and simulation processes; constructing an intelligent agent model according to the simulation event; wherein the agent model comprises an entity model and an activity model; the entity model is used for describing a simulation object, and the activity model is used for describing a simulation process; constructing a rule set model according to the entity model and the activity model; in the simulation process, the entity models and the activity models in the agent models perform internal state interaction, the activity models between the agent models perform entity state interaction, and meanwhile, rule services are performed according to the rule set model to drive simulation operation. By adopting the method, complex and changeable large system modeling and simulation can be realized.

Description

technical field [0001] The present application relates to the technical field of system modeling and simulation, in particular to a simulation method, device, equipment and medium for multi-agent simulation modeling. Background technique [0002] System simulation is a means of studying the objective world. It abstracts and models objective entities, and forms a complete set of simulation systems by studying entity composition, behavioral logic, processes, rules, and interactive relationships. [0003] An agent is an individual with the ability to respond independently to the environment, and a multi-agent system is a collection of multiple agents. A multi-agent system is an open system, and agents are free to join and leave. [0004] MABS is an acronym for Multi-Agent-Based-Simulation. In this simulation, multiple agents acquire environmental information concurrently and affect the environment to drive the simulation. [0005] However, in MABS multi-agent simulation, the ...

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Problems solved by technology

[0005] However, in MABS multi-agent simulation, the number of entities is large and not fixed, and the topological relationship between entities evolves dynamically. It is difficult for existing simulation methods to support complex and changeable large-scale system simulation modeling; The step size advances, and each agent needs to process its own logic solution. The efficiency of multi-agent simulation is generally lower than that of discrete event simulation, and it needs to be processed with powerful computing power, such as distributed computing, cloud computing technology, etc.

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