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2022-03-04
摘要翻译:
在前人的研究中,我们提出了一种将Agent看作方案解释器的STROBE模型的扩展和实现。这些代理能够解释专用环境中的消息,包括从当前会话中学习的解释器,因此表示不断发展的元级别代理的知识。当Agent的解释器是一个不确定的解释器时,对话可以由约束集形式的规范的后续细化组成。本文给出了一个利用带有非确定性解释器的选通代理实现动态服务生成的实例。它展示了如何启用一个问题的动态规范。然后,它说明了这些原则如何对其他应用程序有效。这里没有提供实现的细节,但可以获得。
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英文标题:
《Les Agents comme des interpr\'eteurs Scheme : Sp\'ecification dynamique
  par la communication》
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作者:
Cl\'ement Jonquet (LIRMM), Stefano A. Cerri (LIRMM)
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最新提交年份:
2008
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分类信息:

一级分类:Computer Science        计算机科学
二级分类:Multiagent Systems        多智能体系统
分类描述:Covers multiagent systems, distributed artificial intelligence, intelligent agents, coordinated interactions. and practical applications. Roughly covers ACM Subject Class I.2.11.
涵盖多Agent系统、分布式人工智能、智能Agent、协调交互。和实际应用。大致涵盖ACM科目I.2.11类。
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一级分类:Computer Science        计算机科学
二级分类:Artificial Intelligence        人工智能
分类描述:Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域,除了视觉、机器人、机器学习、多智能体系统以及计算和语言(自然语言处理),这些领域有独立的学科领域。特别地,包括专家系统,定理证明(尽管这可能与计算机科学中的逻辑重叠),知识表示,规划,和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要:
  We proposed in previous papers an extension and an implementation of the STROBE model, which regards the Agents as Scheme interpreters. These Agents are able to interpret messages in a dedicated environment including an interpreter that learns from the current conversation therefore representing evolving meta-level Agent's knowledge. When the Agent's interpreter is a nondeterministic one, the dialogues may consist of subsequent refinements of specifications in the form of constraint sets. The paper presents a worked out example of dynamic service generation - such as necessary on Grids - by exploiting STROBE Agents equipped with a nondeterministic interpreter. It shows how enabling dynamic specification of a problem. Then it illustrates how these principles could be effective for other applications. Details of the implementation are not provided here, but are available.
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PDF链接:
https://arxiv.org/pdf/0802.1393
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