合作网络：内隐性与复杂性
Cooperation Networks: Endogeneity and Complexity
摘要：
从复杂系统文献的见解，开发一个计算模型，真正的内生战略网络的形成。人工自适应代理，实现为有限状态自动机（FSA），发挥修改后的两个玩家IPD游戏的选项，以进一步发展互动空间作为其战略的一部分。这个小的修改导致几个见解：首先，我发现，网络的形成是一个必要条件，合作是可持续的，但双方的互动频率和边缘形成的影响代理混合的程度都是必要条件合作网络。第二，在FSA修改的IPD框架内，观察和描述了一个丰富的代理和网络拓扑生态。第三，系统动力学的研究和揭示，最初简单的动力学与代理之间的相互作用长度小让位于复杂的，非周期性的动态与自组织的临界特性时，相互作用长度增加了一个步骤。
英文摘要：
Insights from the Complex Systems literature are employed to develop a computational model of truly endogenous strategic network formation. Artificial Adaptive Agents, implemented as Finite State Automata (FSA), play a modified two-player IPD game with an option to further develop the interaction space as part of their strategy. Several insights result from this minor modification: first, I find that network formation is a necessary condition for cooperation to be sustainable but that both the frequency of interaction and the degree to which edge formation impacts agent mixing are both necessary conditions for cooperative networks. Second, within the FSA-modified IPD frame-work, a rich ecology of agents and network topologies is observed and described. Third, the system dynamics are investigated and reveal that initially simple dynamics with small interaction length between agents gives way to complex, a-periodic dynamics with self-organized critical properties when interaction lengths are increased by a single step.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
