移动多智能体系统的运行时任务演化

G. Jayaputera, A. Zaslavsky, S. Loke
{"title":"移动多智能体系统的运行时任务演化","authors":"G. Jayaputera, A. Zaslavsky, S. Loke","doi":"10.1109/IAT.2004.1342927","DOIUrl":null,"url":null,"abstract":"We present our approach to developing a multiagent system based on the proposed complex concept of the mission. The mission is a high-level abstraction that combines the overall goal of a system, the means, and the process of achieving that goal, from which agents can be automatically generated. We propose a mechanism to generate agents on-demand and at run-time rather than at the design stage. Functionalities are given to the agents at run-time also. Programmatically, a mission is a live object where it maintains not only the various revisions of the plan but also the state and data for each revision. By doing so, our system is able to suspend and resume the mission. Furthermore, we envisage that the mission execution history is useful for the planner so that it can learn from it and hence produce a better plan in the future. We discuss the concept of the mission object, our programmatic model as well as our prototype system, which we call eHermes.","PeriodicalId":281008,"journal":{"name":"Proceedings. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2004. (IAT 2004).","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Run-time mission evolution in mobile multiagent systems\",\"authors\":\"G. Jayaputera, A. Zaslavsky, S. Loke\",\"doi\":\"10.1109/IAT.2004.1342927\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present our approach to developing a multiagent system based on the proposed complex concept of the mission. The mission is a high-level abstraction that combines the overall goal of a system, the means, and the process of achieving that goal, from which agents can be automatically generated. We propose a mechanism to generate agents on-demand and at run-time rather than at the design stage. Functionalities are given to the agents at run-time also. Programmatically, a mission is a live object where it maintains not only the various revisions of the plan but also the state and data for each revision. By doing so, our system is able to suspend and resume the mission. Furthermore, we envisage that the mission execution history is useful for the planner so that it can learn from it and hence produce a better plan in the future. We discuss the concept of the mission object, our programmatic model as well as our prototype system, which we call eHermes.\",\"PeriodicalId\":281008,\"journal\":{\"name\":\"Proceedings. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2004. (IAT 2004).\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2004. (IAT 2004).\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAT.2004.1342927\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2004. (IAT 2004).","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAT.2004.1342927","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

我们提出了基于所提出的复杂任务概念开发多智能体系统的方法。任务是一个高级抽象,它结合了系统的总体目标、方法和实现该目标的过程,从中可以自动生成代理。我们提出了一种按需在运行时而不是在设计阶段生成代理的机制。功能也在运行时提供给代理。在编程上,任务是一个活动对象,它不仅维护计划的各种修订,而且维护每个修订的状态和数据。通过这样做,我们的系统能够暂停和恢复任务。此外,我们设想任务执行历史对规划者是有用的,以便它可以从中学习,从而在未来制定更好的计划。我们讨论了任务对象的概念,我们的编程模型以及我们的原型系统,我们称之为eHermes。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Run-time mission evolution in mobile multiagent systems
We present our approach to developing a multiagent system based on the proposed complex concept of the mission. The mission is a high-level abstraction that combines the overall goal of a system, the means, and the process of achieving that goal, from which agents can be automatically generated. We propose a mechanism to generate agents on-demand and at run-time rather than at the design stage. Functionalities are given to the agents at run-time also. Programmatically, a mission is a live object where it maintains not only the various revisions of the plan but also the state and data for each revision. By doing so, our system is able to suspend and resume the mission. Furthermore, we envisage that the mission execution history is useful for the planner so that it can learn from it and hence produce a better plan in the future. We discuss the concept of the mission object, our programmatic model as well as our prototype system, which we call eHermes.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
CHQ: a multi-agent reinforcement learning scheme for partially observable Markov decision processes A fuzzy multi-agent bidding model An agent-based approach to distributed data and information fusion Economic model of TAC SCM game Towards genetically optimised responsive negotiation agents
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1