A singular attribute of humankind is our ability to undertake novel, cooperative behavior, or teamwork. This requires that we can communicate goals, plans, and ideas between the brains of individuals to create shared intentionality. Using the information processing model of David Marr, I derive necessary characteristics of basic mechanisms to enable shared intentionality between prelinguistic computational agents and indicate how these could be implemented in present-day AI-based robots. More speculatively, I suggest the mechanisms derived by this thought experiment apply to humans and extend to provide explanations for human rationality and aspects of intentional and phenomenal consciousness that accord with observation. This yields what I call the Shared Intentionality First Theory (SIFT) for rationality and consciousness. The significance of shared intentionality has been recognized and advocated previously, but typically from a sociological or behavioral point of view. SIFT complements prior work by applying a computer science perspective to the underlying mechanisms.

翻译：人类的一项独特属性在于我们能够开展新颖的合作行为，即团队协作。这要求我们能够在个体大脑之间沟通目标、计划和想法，从而形成共享意向性。基于大卫·马尔的信息处理模型，我推导出前语言计算主体之间实现共享意向性所需基本机制的必要特征，并指出这些机制如何在当前基于AI的机器人中实现。更具思辨性的是，我提出这一思想实验推导出的机制同样适用于人类，并能延伸解释符合观察结果的人类理性以及意向性与现象性意识的某些方面。由此我提出了关于理性与意识的所谓"共享意向性优先理论"（SIFT）。此前，共享意向性的重要性虽已被认知和倡导，但通常是从社会学或行为学视角出发的。SIFT通过运用计算机科学视角审视底层机制，对既有研究形成了补充。