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首页> 美国卫生研究院文献>Proceedings of the National Academy of Sciences of the United States of America >Colloquium PaperAdaptive Agents Intelligence and Emergent Human Organization: Capturing Complexity through Agent-Based Modeling: Software agents and the route to the information economy
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Colloquium PaperAdaptive Agents Intelligence and Emergent Human Organization: Capturing Complexity through Agent-Based Modeling: Software agents and the route to the information economy

机译：座谈会论文自适应代理情报和新兴人类组织：通过基于代理的建模来捕获复杂性：软件代理和通往信息经济的途径

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Humans are on the verge of losing their status as the sole economic species on the planet. In private laboratories and in the Internet laboratory, researchers and developers are creating a variety of autonomous economically motivated software agents endowed with algorithms for maximizing profit or utility. Many economic software agents will function as miniature businesses, purchasing information inputs from other agents, combining and refining them into information goods and services, and selling them to humans or other agents. Their mutual interactions will form the information economy: a complex economic web of information goods and services that will adapt to the ever-changing needs of people and agents. The information economy will be the largest multiagent system ever conceived and an integral part of the world's economy. I discuss a possible route toward this vision, beginning with present-day Internet trends suggesting that agents will charge one another for information goods and services. Then, to establish that agents can be competent price setters, I describe some laboratory experiments pitting software bidding agents against human bidders. The agents' superior performance suggests they will be used on a broad scale, which in turn suggests that interactions among agents will become frequent and significant. How will this affect macroscopic economic behavior? I describe some interesting phenomena that my colleagues and I have observed in simulations of large populations of automated buyers and sellers, such as price war cycles. I conclude by discussing fundamental scientific challenges that remain to be addressed as we journey toward the information economy.
机译：人类濒临丧失作为地球上唯一经济物种的地位。在私人实验室和Internet实验室中，研究人员和开发人员正在创建各种具有经济动机的自主软件代理，这些代理具有使利润或效用最大化的算法。许多经济软件代理将充当微型企业的角色，从其他代理那里购买信息输入，将它们组合并精炼为信息商品和服务，然后将其出售给人类或其他代理。他们之间的相互作用将形成信息经济：信息产品和服务的复杂经济网络，将适应人员和代理商不断变化的需求。信息经济将成为有史以来最大的多主体系统，并且是世界经济的组成部分。我从今天的互联网趋势开始讨论实现这一愿景的可能途径，这表明代理商将对信息产品和服务相互收费。然后，为了确定代理商可以胜任的价格制定者，我描述了一些针对人工竞标者的点蚀软件招标代理商的实验室实验。代理的卓越性能表明它们将被广泛使用，这反过来又表明代理之间的交互将变得频繁且重要。这将如何影响宏观经济行为？我描述了我和我的同事在模拟大量自动买卖双方时观察到的一些有趣现象，例如价格战周期。最后，我讨论了在迈向信息经济的过程中仍需解决的基本科学挑战。

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