Dynamic Response Thresholds: Heterogeneous Ranges Allow Specialization While Mitigating Convergence to Sink States
Dynamic Response Thresholds: Heterogeneous Ranges Allow Specialization While Mitigating Convergence to Sink States
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DOI：
10.1007/978-3-030-60376-2_9
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
A. Wu;H. Mathias
中科院分区：
文献类型：
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作者：
A. Wu;H. Mathias
我们认为，异构阈值范围允许分散群体中的代理有效地适应阈值以响应动态任务需求，同时避免正反馈汇的陷阱。动态响应阈值允许agent动态进化专门化，从而提高群体的响应能力和稳定性。然而，动态阈值可以根据先前的经验进行调整，由于此类系统的正反馈特性，很容易陷入下沉状态。我们表明，与同质阈值范围相比，异质阈值范围导致可比的任务分配和改进的稳定性，并且在代理资源丰富的情况下应该考虑简单的静态随机阈值。
We argue that heterogeneous threshold ranges allow agents in a decentralized swarm to effectively adapt thresholds in response to dynamic task demands while avoiding the pitfalls of positive feedback sinks. Dynamic response thresholds allow agents to dynamically evolve specializations which can improve the responsiveness and stability of a swarm. Dynamic thresholds that adapt in response to previous experience, however, are vulnerable to getting stuck in sink states due to the positive feedback nature of such systems. We show that heterogeneous threshold ranges result in comparable task allocation and improved stability as compared to homogeneous threshold ranges, and that simple static random thresholds should be considered in situations where agent resources are plentiful.