{"title":"New hyper-distributed hyper-parallel AI approach based on chaotic bifurcations and synchronizations","authors":"D. Shuai, Y. Watanabe","doi":"10.1109/MFI.1994.398425","DOIUrl":null,"url":null,"abstract":"For problem solving in the artificial intelligence, this paper presents a new hyper-distributed hyper-parallel approach based on the bifurcations and synchronizations of the hierarchical distributed chaotic dynamic systems. By using Chua's circuits arrays, the realization of the hyper-distributed hyper-parallel heuristic algorithms for real-time search of any implicit AND/OR graph is discussed. The approach not only combines the advantages of both the traditional sequential symbolic logic and the conventional neural network approaches, but also overcomes their drawbacks in many respects.<<ETX>>","PeriodicalId":133630,"journal":{"name":"Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","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.1994.398425","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
For problem solving in the artificial intelligence, this paper presents a new hyper-distributed hyper-parallel approach based on the bifurcations and synchronizations of the hierarchical distributed chaotic dynamic systems. By using Chua's circuits arrays, the realization of the hyper-distributed hyper-parallel heuristic algorithms for real-time search of any implicit AND/OR graph is discussed. The approach not only combines the advantages of both the traditional sequential symbolic logic and the conventional neural network approaches, but also overcomes their drawbacks in many respects.<>