首页> 外文会议>International Conference on Web Engineering >Creating and Capturing Artificial Emotions in Autonomous Robots and Software Agents
【24h】

Creating and Capturing Artificial Emotions in Autonomous Robots and Software Agents

机译:在自主机器人和软件代理中创建和捕获人工情感

获取原文

摘要

This paper presents ARTEMIS, a control system for autonomous robots or software agents. ARTEMIS is able to create and capture artificial emotions during interactions with its environment, and we describe the underlying mechanisms for this. The control system also realizes the capturing of knowledge about its past artificial emotions. A specific interpretation of a knowledge graph, called an Agent Knowledge Graph, represents these artificial emotions. For this, we devise a formalism which enriches the traditional factual knowledge in knowledge graphs with the representation of artificial emotions. As proof of concept, we realize a concrete software agent based on the ARTEMIS control system. This software agent acts as a user assistant and executes the user's orders. The environment of this user assistant consists of autonomous service agents. The execution of user's orders requires interaction with these autonomous service agents. These interactions lead to artificial emotions within the assistant. The first experiments show that it is possible to realize an autonomous agent with plausible artificial emotions with ARTEMIS and to record these artificial emotions in its Agent Knowledge Graph. In this way, autonomous agents based on ARTEMIS can capture essential knowledge that supports successful planning and decision making in complex dynamic environments and surpass emotionless agents.
机译:本文介绍了ARTEMIS,一种用于自主机器人或软件代理的控制系统。 ARTEMIS能够在与环境互动的过程中创造并捕捉人为的情感,为此我们描述了潜在的机制。该控制系统还实现了关于其过去的人工情感的知识的捕获。知识图的一种特殊解释(称为代理知识图)代表了这些人为的情绪。为此,我们设计了一种形式主义,用人工情感的表示来丰富知识图中的传统事实知识。作为概念验证,我们实现了基于ARTEMIS控制系统的具体软件代理。该软件代理充当用户助手并执行用户的订单。该用户助手的环境由自治服务代理组成。用户订单的执行需要与这些自治服务代理进行交互。这些互动会导致助手内部的人为情绪。最初的实验表明,使用ARTEMIS可以实现具有合理的人工情绪的自主主体,并将这些人工情绪记录在其Agent Knowledge Graph中。这样,基于ARTEMIS的自治代理可以捕获支持复杂动态环境中成功规划和决策的基本知识,并超越无情代理。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号