Toward an architecture for adaptive, rational, mobile agents (abstract)

Author:

Ferguson Innes A.

Abstract

It is becoming widely accepted that neither purely reactive nor purely deliberative control techniques are capable of producing the range of behaviours required of intelligent agents in dynamic, unpredictable, multiagent worlds. We present a new architecture for controlling autonomous, mobile agents - building on previous work addressing reactive and deliberative control methods. The proposed multi-layered control architecture allows a resource-bounded, goal-directed agent to react promptly to unexpected changes in its environment; at the same time it enables the agent to reason predictively about potential conflicts by constructing and projecting theories which hypothesies other agents' intentions.The line of research adopted is very much a pragmatic one. A single, common architecture has been implemented which, being heavily parameterised, allows an experimenter to study functionally- and behaviourally-diverse agent configurations. A principal aim of this research is to understand the role different functional capabilities play in constraining an agent's behaviour under varying environmental conditions. To this end, an experimental testbed comprising a simulated multi-agent world has also been constructed. Some preliminary experience with the new control architecture is described.

Publisher

Association for Computing Machinery (ACM)

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multi-agent Systems;Self-organizing Coalitions for Managing Complexity;2017-12-14

2. Virtual Games: A New Approach to Implementation of Social Choice Rules;Multi-Agent Systems and Applications IV;2005

3. Integration of Generic Motivations in Social Hybrid Agents;Regulated Agent-Based Social Systems;2004

4. Design Patterns for Multiagent Systems Design;MICAI 2004: Advances in Artificial Intelligence;2004

5. Argumentation through a distributed self-stabilizing approach;Journal of Experimental & Theoretical Artificial Intelligence;2002-10

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