A Systematic Approach to Autonomous Agents

Author:

Dodig-Crnkovic Gordana1ORCID,Burgin Mark2

Affiliation:

1. Department of Computer Science and Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden

2. Department of Computer Science, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA

Abstract

Agents and agent-based systems are becoming essential in the development of various fields, such as artificial intelligence, ubiquitous computing, ambient intelligence, autonomous computing, and intelligent robotics. The concept of autonomous agents, inspired by the observed agency in living systems, is also central to current theories on the origin, development, and evolution of life. Therefore, it is crucial to develop an accurate understanding of agents and the concept of agency. This paper begins by discussing the role of agency in natural systems as an inspiration and motivation for agential technologies and then introduces the idea of artificial agents. A systematic approach is presented for the classification of artificial agents. This classification aids in understanding the existing state of the artificial agents and projects their potential future roles in addressing specific types of problems with dedicated agent types.

Funder

Swedish Research Council

Publisher

MDPI AG

Reference70 articles.

1. (2024, January 29). NKS 2007 Wolfram Science Conference. Available online: http://www.wolframscience.com/conference/2007/presentations.

2. Dodig-Crnkovic, G., and Burgin, M. (2008). Philosophy and Methodology of Information: The Study of Information in a Transdisciplinary Perspective, World Scientific Publishing Co.

3. Burgin, M., and Dodig-Crnkovic, G. (2009). A Systematic Approach to Artificial Agents. arXiv.

4. Dodig-Crnkovic, G., and Burgin, M. (2018). Philosophy and Methodology of Information, World Scientific.

5. Dodig-Crnkovic, G., and Burgin, M. (2019). Philosophy and Methodology of Information: The Study of Information in the Transdisciplinary Perspective, World Scientific.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3