挑战

中文字数:5476,中文页数:5  英文字数:3867页数:8

 1.1 Agent（智能代理）的六要素
 本书提出了Agent的六要素（谁、什么、何处、何时、为何、如何）：
 (1) 谁需要用到Agents，谁需要了解Agent建模？谁需要做Agent建模这样的工作？谁需要用到由基于Agent的模型所产生的那些信息？把基于Agent的建模理解成一项技术，一个生成新信息的企业，才是成功使用它的关键所在！
 (2) Agents是什么？有哪些事情，是那些标准化的建模所不能做到，但基于Agents的建模是能达成的？基于Agents的建模为我们理解和思考那些目前很少被提及的系统提供并展现了一种自然的视角。
 (3) Agents将被用在何处？那些有潜力的、我们可能在每天的工作生活中都会与之打交道的、基于Agent的管理系统在何处呢？在相关领域中，随着不断增长的基于Agent建模的系统应运而起，已然昭示着我们无需为这些潜力巨大的系统等待太久。
 (4) 何时使用Agents？在何时使用基于Agent的建模和仿真对我们来说才是合适的？这种情况必须是：对于传统的建模来说，基于Agent的建模能提供一些特有的优势，比如开启出新的视野，解答出一些长期困扰我们的问题，等等。
 (5) 为何用Agents？为什么人们总是会使用基于Agent的建模？那是由于基于Agent的建模提出了“以Agent作为建模的核心和出发点”这样的观点和理念。这在我们对Agent行为和连同于整个系统的行为的理解中，可谓是一种天然的革新。作者坚信，在不久的将来，所有计算机模拟仿真工作将被Agents所取代，因为Agent系统既表现出了很好的自然性，而且基于Agent的模型与我们当今最主流的编程范例——面向对象编程，两者有惊人的吻合！

The who, What, Where, When, Why, and How of Agents
 This book addresses the who, what, where, when, why, and wow of agents
Who needs agents? Who should know about agent modeling? Who should do agent modeling? Who should use the information generated by agent-based models? Understanding the audience for agent-based modeling as a technique and as an information-creating enterprise is the key to its successful use.
What are agents? What do agents allow us to do that cannot be done using standard modeling approaches? The agents modeling approach represents a natural view of how people think about and understand systems that before now has been barely tapped.
Where agents? Where ate the promising applications of ABMS in the everyday business problems that surround us? The growing preponderance of candidate areas for agent-based models means that there is no need to look far for promising applications.
When agents? When it is appropriate to use agent-based modeling and simulation? The situations in which agent-based modeling can offer distinct advantages to more traditional modeling approaches, reveal new insights, and answer long-standing questions are becoming better understood every day.
Why agents? Why do people use agent-based modeling? Agent-based modeling offers the agent focus and perspective as its central concepts and natural starting point. There is a natural evolution in the understanding of agent behaviors and the behaviors of a system as a whole. The authors believe that in the future virtually all computer simulations will be agent-based because of the naturalness of the agent representation and close similarity of agent models to the predominant computational paradigm of object-oriented programming.
How agents? How should one think about agents? How should one go about building agent-based models? Experience is quickly accumulating on the steps that one goes through to be successful at building an agent=based model.
 This book provides the answers to these critically important questions for anyone who has heard about agent-based modeling or for those who are considering an agent-based modeling enterprise.

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