设计大规模分配的AI相对于AI 管理机构技术的机构代号 (Institutional Metaphors for Designing Large-Scale Distributed AI versus AI Techniques for Running Institutions)

Artificial Intelligence (AI) started out with an ambition to reproduce the human mind, but, as the sheer scale of that ambition became manifest, it quickly retreated into either studying specialized intelligent behaviours, or proposing over-arching architectural concepts for interfacing specialized intelligent behaviour components, conceived of as agents in a kind of organization. This agent-based modeling paradigm, in turn, proves to have interesting applications in understanding, simulating, and predicting the behaviour of social and legal structures on an aggregate level. For these reasons, this chapter examines a number of relevant cross-cutting concerns, conceptualizations, modeling problems and design challenges in large-scale distributed Artificial Intelligence, as well as in institutional systems, and identifies potential grounds for novel advances.

翻译：人工智能(AI)最初的初衷是复制人的思想,但随着这一雄心的庞大规模的显现,它迅速退缩到研究专业智能行为,或提出总体建筑概念,将专门智能行为组成部分作为某种组织中的代理人来构思。这种以代理为基础的模型模式在理解、模拟和预测社会和法律结构的总体行为方面又证明具有令人感兴趣的应用,因此,本章审查了大规模分布式人工智能系统以及体制系统中的一些相关的跨领域问题、概念化、建模问题和设计挑战,并找出了取得新进展的潜在基础。