Conventional economic and socio-behavioural models assume perfect symmetric access to information and rational behaviour among interacting agents in a social system. However, real-world events and observations appear to contradict such assumptions, leading to the possibility of other, more complex interaction rules existing between such agents. We investigate this possibility by creating two different models for a doctor-patient system. One retains the established assumptions, while the other incorporates principles of reflexivity theory and cognitive social structures. In addition, we utilize a microbial genetic algorithm to optimize the behaviour of the physician and patient agents in both models. The differences in results for the two models suggest that social systems may not always exhibit the behaviour or even accomplish the purpose for which they were designed and that modelling the social and cognitive influences in a social system may capture various ways a social agent balances complementary and competing information signals in making choices.

翻译：传统的经济与社会行为模型假设社会系统中交互主体间存在完全对称的信息获取与理性行为。然而，现实世界的事件与观察似乎与这些假设相矛盾，这表明此类主体之间可能存在其他更为复杂的交互规则。我们通过构建两种不同的医患系统模型来探究这一可能性。其中一个模型保留了既定假设，而另一个则融入了反思性理论与认知社会结构的原理。此外，我们采用微生物遗传算法来优化两个模型中医生与患者主体的行为。两种模型结果的差异表明，社会系统可能并不总是表现出预期行为，甚至无法实现其设计初衷；对社会系统中社会与认知影响进行建模，可以捕捉社会主体在做出选择时平衡互补与竞争信息信号的多种方式。