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首页> 外文会议>International Conference on Computational Science - ICCS 2003 Pt.3 Jun 2-4, 2003 Melbourne, Australia and St. Petersburg, Russia >Oh Behave! Agents-Based Behavioral Representations in Problem Solving Environments
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Oh Behave! Agents-Based Behavioral Representations in Problem Solving Environments

机译：哦，行！问题解决环境中基于主体的行为表示

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摘要

The development of deregulated electricity systems around the world has produced the need for simulation systems that are capable of addressing the complexities that arise in the new markets. Agent-based models allow the use of complex adaptive systems approaches that are capable of producing tools or problem solving environments that can address the behavior of each of the participants within the electricity market. The agents in the tools are allowed to establish their own objectives and apply their own decision rules. They can be developed to learn from their previous experiences and change their behavior when future opportunities arise. In this paper, we will argue that the same type of agent-based technology that is used to produce "realistic" agent behavior in agent-based simulation tools at Argonne National Laboratory can also be used to embed these tools in problem solving environments.
机译：在世界范围内放松管制的电力系统的发展产生了对仿真系统的需求，该仿真系统能够解决新市场中出现的复杂问题。基于代理的模型允许使用复杂的自适应系统方法，这些方法能够产生可以解决电力市场中每个参与者行为的工具或问题解决环境。工具中的代理可以建立自己的目标并应用自己的决策规则。可以培养他们从以前的经验中学习，并在将来有机会时改变他们的行为。在本文中，我们将争辩说，在Argonne国家实验室的基于代理的仿真工具中用于产生“现实”代理行为的相同类型的基于代理的技术，也可以用于将这些工具嵌入问题解决环境中。

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