BDI modeling method, device, equipment and medium based on knowledge graph

Abstract

This application relates to a BDI modeling method, device, device, and medium based on a knowledge map. The method includes: obtaining a simulation task of a simulation model; extracting perception elements from the simulation task, and establishing a perception space map based on the perception elements; Extract action elements from the atlas, and establish an action space atlas based on the action elements; extract cognitive elements from the simulation task, perceptual space atlas, and action space atlas, and establish a cognitive space atlas based on the cognitive elements; perform BDI beliefs based on the perceptual space atlas Construction of desire and intention in BDI according to perception space map, action space map and cognitive space map; according to the constructed belief, desire, intention and action space map, carry out the cognitive behavior map of simulation model agent modeling. Using this method, behaviors and the relationship between behaviors can be described, and it can be realized in a graph-based low-code manner.

Description

technical field [0001] The present application relates to the technical field of system modeling and simulation, in particular to a BDI modeling method, device, device and medium based on knowledge graphs. 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. The field of system simulation is divided into system modeling and system simulation according to subdivided research directions. Adequate system modeling is the basis for system simulation. [0003] In system-oriented modeling, the main modeling method is multi-agent simulation. Multi-agent simulation models each entity, mainly including the entity itself and the internal behavior of the entity. Entity modeling is relatively mature, but Behavioral modeling still needs further research, and no ...

AI Technical Summary

Problems solved by technology

[0003] In system-oriented modeling, the main modeling method is multi-agent simulation. Multi-agent simulation models each entity, mainly including the entity itself and the internal behavior of the entity. Entity modeling is relatively mature, but Behavioral modeling still needs further research, and no mature products or services have been seen so far

[0004] The multi-agent simulation in the prior art, in the modeling framework, mainly focuses on entities, and does not sufficiently describe behaviors and the relationship between behaviors. For example, using behavior tree modeling is only a sequential relationship, without considering other relevant factors. Such as events, states, etc. In terms of modeling implementation, it is mainly based on the way of program code implementation. When it is necessary to modify or expand the modeling, it is necessary to write code from scratch. If it is directly modified, it is necessary to understand the entire code logic and then target it. permanent modification, a slight error may lead to failure to run

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