Detalles Bibliográficos
| Título: |
Hamilton's Rule for Enabling Altruism in Multi-Agent Systems |
| Autores: |
Butler, Brooks A., Egerstedt, Magnus |
| Año de Publicación: |
2025 |
| Colección: |
Computer Science |
| Términos de Temas: |
Computer Science - Multiagent Systems, Electrical Engineering and Systems Science - Systems and Control |
| Descripción: |
This paper explores the application of Hamilton's rule to altruistic decision-making in multi-agent systems. Inspired by biological altruism, we introduce a framework that evaluates when individual agents should incur costs to benefit their neighbors. By adapting Hamilton's rule, we define agent ``fitness" in terms of task productivity rather than genetic survival. We formalize altruistic decision-making through a graph-based model of multi-agent interactions and propose a solution using collaborative control Lyapunov functions. The approach ensures that altruistic behaviors contribute to the collective goal-reaching efficiency of the system. We illustrate this framework on a multi-agent way-point navigation problem, where we show through simulation how agent importance levels influence altruistic decision-making, leading to improved coordination in navigation tasks. |
| Tipo de Documento: |
Working Paper |
| URL de Acceso: |
http://arxiv.org/abs/2505.09841 |
| Número de Acceso: |
edsarx.2505.09841 |
| Base de Datos: |
arXiv |