{"title":"分布式人工智能","authors":"Annu Mishra","doi":"10.1201/9781003038467-1","DOIUrl":null,"url":null,"abstract":"Distributed artificial intelligence (DAI) has emerged as a powerful paradigm for representing and solving complex problems. The growth of this field has been spurred by the advances in distributed computing environments and wide spread information connectivity. Although DAI started as a branch of artificial intelligence over twenty-five years ago, it has emerged as an independent research discipline in its own right, representing a confluence of ideas from several disciplines.","PeriodicalId":42597,"journal":{"name":"ADCAIJ-Advances in Distributed Computing and Artificial Intelligence Journal","volume":"1 1","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Distributed Artificial Intelligence\",\"authors\":\"Annu Mishra\",\"doi\":\"10.1201/9781003038467-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Distributed artificial intelligence (DAI) has emerged as a powerful paradigm for representing and solving complex problems. The growth of this field has been spurred by the advances in distributed computing environments and wide spread information connectivity. Although DAI started as a branch of artificial intelligence over twenty-five years ago, it has emerged as an independent research discipline in its own right, representing a confluence of ideas from several disciplines.\",\"PeriodicalId\":42597,\"journal\":{\"name\":\"ADCAIJ-Advances in Distributed Computing and Artificial Intelligence Journal\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2020-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ADCAIJ-Advances in Distributed Computing and Artificial Intelligence Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1201/9781003038467-1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ADCAIJ-Advances in Distributed Computing and Artificial Intelligence Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1201/9781003038467-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
Distributed artificial intelligence (DAI) has emerged as a powerful paradigm for representing and solving complex problems. The growth of this field has been spurred by the advances in distributed computing environments and wide spread information connectivity. Although DAI started as a branch of artificial intelligence over twenty-five years ago, it has emerged as an independent research discipline in its own right, representing a confluence of ideas from several disciplines.