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首页> 外文会议>International conference on systems science and systems engineering >A CYBERNETIC ARCHITECTURE OF PRACTICAL REASONING AGENT
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A CYBERNETIC ARCHITECTURE OF PRACTICAL REASONING AGENT

机译：一种实用推理剂的控制论架构

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During the last ten years, agent technology has been widely discussed in various research areas. An agent is a computer system that is situated in some environment, and that is capable of autonomous actions in this environment in order to meet its design objectives. There are at least two kinds of reasoning methods applied in constructing an agent, namely practical reasoning and theoretical reasoning. Practical reasoning directed towards actions ― the process of figuring out what to do by weighing different acting options against with agent desires and believes. While theoretical reasoning is directed towards beliefs. In this paper, we just focus on practical reasoning. A widely used BDI model for practical reasoning agent will be introduced, based on which our cybernetic-BDI architecture is discussed. 'Intelligence' and 'autonomy' are perhaps the most important aspects of agent system. Attempts to model intelligent behaviors of an agent, especially a practical reasoning agent, have been made from areas of computer sciences, psychology, sociology, and many others. Cybernetics provides a concrete mechanism for this purpose, namely by 'feedback', 'feedforward', and 'sociocybernetics'. We discuss first intelligent behaviors of agent systems in terms of reactivity, proactity, and social ability based on cybernetic concepts of feedback, feedforward, and sociocybernetics. Then based on the Belief-Desire-Intention (BDI) model and cybernetic principles we build up our Cybernetic-BDI architecture. With a pseudocode we validate the architecture for its practical implementation and fulfillment of required intelligent behaviors. In the last, a scenario of healthcare agent for diabetes patients is provided to show how the agent works according to the Cybernetic-BDI architecture.
机译：在过去的十年中，代理技术已被广泛讨论在各种研究领域。代理是位于某些环境中的计算机系统，并且能够在这种环境中的自主行动，以满足其设计目标。在构建代理时，存在至少两种推理方法，即实际推理和理论推理。实践推理针对行动 - 通过对代理人欲望来称量不同的代理选择来解决该方法的过程。虽然理论推理是针对信仰的。在本文中，我们只是专注于实践推理。基于讨论我们的网络冒录BDI架构，将介绍一种用于实用推理剂的广泛使用的BDI模型。 “情报”和“自主权”也许是代理系统最重要的方面。企图模拟代理人的智能行为，尤其是实际推理代理商，是由计算机科学，心理学，社会学和许多其他地区制作的。 Cyber​​ Netics为此目的提供了一个具体机制，即“反馈”，“馈送”和“社会鸡宇”。我们根据反馈，前馈和社会纤维学的网络感染概念，在反应性，主张和社会能力方面讨论代理系统的第一智能行为。然后基于信念 - 欲望 - 意图（BDI）模型和网络学原则，我们建立了网络感受器 - BDI架构。使用伪代码，我们为其实际实施和满足所需的智能行为验证架构。最后，提供了糖尿病患者的医疗药物的情景，以展示代理商如何根据网络冒录网上建筑作品。

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