Application of agent-based modelling to drone behaviour simulation
Application of agent-based modelling to drone behaviour simulation

Summary/Abstract: The article explores the use of agent-based modelling (ABM) to simulate agent behaviours. The discussion focuses on agents, simulating the behaviour of drones operating in conditions of uncertainty with the environment's changing parameters. Agent-based modelling makes it possible to customise complex systems by representing entities as autonomous agents that make decisions and interact with both each other and their environment. The primary aim of this paper is to analyse how ABM can be used to simulate drone movement, adaptive behaviours and cooperative actions. In the following sections, the author examines current ABM platforms that use the Python language, identifies algorithms commonly used in drone movement modelling, and proposes an extension of the A* algorithm for implementation on the MESA platform. The final section presents a simulation based on the developed algorithm, which incorporates factors such as collision avoidance, inter-drone communication, and adaptation to changing environmental conditions. The research findings demonstrate that agent-based modelling is an effective tool for analysing and optimising drone operations, providing insights that could contribute to advancements in autonomous systems.

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