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Paper details
Number 4 - December 2023
Volume 33 - 2023
ASTS: Autonomous switching of task-level strategies
Xianchang Wang, Bingyu Lv, Kaiyu Wang, Rui Zhang
Abstract
Autonomous coordination of multi-agent systems can improve the reaction and dispatching ability of multiple agents to
emergency events. The existing research has mainly focused on the reactions or dispatching in specific scenarios. However,
task-level coordination has not received significant attention. This study proposes a framework for autonomous switching of
task-level strategies (ASTS), which can automatically switch strategies according to different scenarios in the task execution
process. The framework is based on the blackboard system, which takes the form of an instance as an agent and the form
of norm(s) as a strategy; it uses events to drive autonomous cooperation among multiple agents. A norm may be triggered
when an event occurs. After the triggered norm is executed, it can change the data, state, and event in ASTS. To demonstrate
the autonomy and switchability of the proposed framework, we develop a fire emergency reaction dispatch system. This
system is applied to emergency scenarios involving fires. Five types of strategies and two control modes are designed for
this system. Experiments show that this system can autonomously switch between different strategies and control modes in
different scenarios with promising results. Our framework improves the adaptability and flexibility of multiple agents in an
open environment and represents a solid step toward switching strategies at the task level.
Keywords
task-level, autonomous switching strategies, blackboard system, norm