感应策略与吸引子识别

C. Yuhui, T. Ikegami, K. Takamasu, S. Ozono
{"title":"感应策略与吸引子识别","authors":"C. Yuhui, T. Ikegami, K. Takamasu, S. Ozono","doi":"10.1109/MFI.1994.398461","DOIUrl":null,"url":null,"abstract":"The representation of intelligence is analyzed for intelligent behaviours, and its shortcoming is showed. It is proposed that the intelligent sensing behaviour in active sensing is necessary to realize a corresponding ethological behaviour in dynamic environment. As a part of general intelligent measurement methodology, the process of evolving a recognizing attractor is simulated. The behaviour evolution and convergence is described by logistic dynamic model.<<ETX>>","PeriodicalId":133630,"journal":{"name":"Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sensing strategy and recognizing attractor\",\"authors\":\"C. Yuhui, T. Ikegami, K. Takamasu, S. Ozono\",\"doi\":\"10.1109/MFI.1994.398461\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The representation of intelligence is analyzed for intelligent behaviours, and its shortcoming is showed. It is proposed that the intelligent sensing behaviour in active sensing is necessary to realize a corresponding ethological behaviour in dynamic environment. As a part of general intelligent measurement methodology, the process of evolving a recognizing attractor is simulated. The behaviour evolution and convergence is described by logistic dynamic model.<<ETX>>\",\"PeriodicalId\":133630,\"journal\":{\"name\":\"Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MFI.1994.398461\",\"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 of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MFI.1994.398461","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

分析了智能行为的智能表示,指出了智能表示的不足。提出主动感知中的智能感知行为是实现动态环境中相应的行为学行为的必要条件。作为一般智能测量方法的一部分,模拟了识别吸引子的演化过程。行为演化和收敛用逻辑动态模型来描述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sensing strategy and recognizing attractor
The representation of intelligence is analyzed for intelligent behaviours, and its shortcoming is showed. It is proposed that the intelligent sensing behaviour in active sensing is necessary to realize a corresponding ethological behaviour in dynamic environment. As a part of general intelligent measurement methodology, the process of evolving a recognizing attractor is simulated. The behaviour evolution and convergence is described by logistic dynamic model.<>
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信