多智能体元规划的推理结构

Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No.99CH37014) Pub Date : 1900-01-01 DOI:10.1109/ISIC.1999.796668

S. Aknine

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引用次数: 2

摘要

多智能体系统的元编程是一项复杂的任务，因为随着智能体构建它们的策略，环境也会发生变化。我们提出了一种基于解释学习的多智能体元编程方法和语言，并将这些思想统一在一个形式化框架下。作为一个例子，我们报告了我们在元编程多智能体系统的捕食者示例上使用元编程方法的经验。

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Reasoning structures for multi-agent meta-programming

Meta-programming a multi-agent system is a complex task due to the fact that as the agents build their strategies the environment changes. We propose a method and a language for multi-agent meta-programming based on explanation based learning and we unify these ideas under a formal framework. As an example, we report our experience of use of our meta-programming method on the example of predators for meta-programming multi-agent systems.

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Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No.99CH37014)

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