Agent-based models have emerged as a promising paradigm for addressing ever increasing complexity of information systems. In its initial days in the 1990s when object-oriented modeling was at its peak, an agent was treated as a special kind of "object" that had a persistent state and its own independent thread of execution. Since then, agent-based models have diversified enormously to even open new conceptual insights about the nature of systems in general. This paper presents a perspective on the disparate ways in which our understanding of agency, as well as computational models of agency have evolved. Advances in hardware like GPUs, that brought neural networks back to life, may also similarly infuse new life into agent-based models, as well as pave the way for advancements in research on Artificial General Intelligence (AGI).
翻译:以代理人为基础的模式已成为解决信息系统日益复杂的问题的一个很有希望的模式。在1990年代最初几天,以物体为导向的模型处于高峰期,将一个代理人视为一种特殊的“对象 ”, 这种“对象”具有持久性和独立执行线。从那时以来,以代理人为基础的模式已大为多样化,甚至可以就整个系统的性质开辟新的概念见解。本文件从不同的角度介绍了我们对机构的理解以及机构计算模型的演变方式。GPUs等硬件的进步,它使神经网络恢复生命,也可能同样将新生命注入以代理人为基础的模型,并为人造一般情报(AGI)研究的进展铺平了道路。