具有累积成本和双向通信的最优网络
Optimal Networks with Accumulative Costs and Bidirectional Communication
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中文总结 AI 辅助
本文扩展了Larrosa和Tohmé的方法，允许信息双向流动，发现严格纳什网络对应顺序线网络，中断成本累积并最大化收益。
中文摘要 AI 辅助
本文是Larrosa和Tohmé（2003）方法的扩展，其中通过允许信息双向流动来修改收益函数。成本仍由发起连接的代理人支付，因此这种不对称性揭示了最终均衡拓扑结构的变化。我们发现，几种最优拓扑结构仍作为纳什网络存在，但严格纳什网络对应于具有中间活跃节点的顺序线网络；也就是说，代理人被置于一条线上，每隔一个代理人，他们与前一个代理人和后一个代理人连接。这样，成本累积被中断，收益被最大化。
英文摘要
This paper is an extension of the approach of Larrosa and Tohmé (2003), in which the payoff function is modified by allowing information to flow in both directions. Costs continue to be paid by the agent who initiates the connection, so this asymmetry reveals changes in the final equilibrium topology. We find that several optimal topologies persist as Nash networks, but that a strict Nash network corresponds to the sequential line network with intermediate active nodes; that is, agents are placed in a line and, every other agent, they connect with the predecessor agent and with the subsequent agent. In this way, cost accumulation is interrupted and benefits are maximized.
发表机构
- Universidad Nacional del Sur（南方大学）
- Instituto de Ciencias e Ingeniería de la Computación (ICIC)（计算机科学与工程科学研究所）
- Instituto de Matemática de Bahía Blanca (INMABB)（巴拉那河数学研究所）
机构由 AI 辅助整理，请以论文原文为准。
