{"title":"解释行为的适应性和反思性的多尺度认知架构","authors":"O. Larue, P. Poirier, R. Nkambou","doi":"10.1109/WI-IAT.2012.255","DOIUrl":null,"url":null,"abstract":"We present a multi-agent cognitive architecture in which reactive and sequential processes can dynamically influence each other to insure that behaviour is responsive to current context (behavioural and situational) while sensitive to the longer term behavioural sequences needed to solve complex problems. We present the implementation of such a system using an agent based approach and illustrate its processing trough the simulation of two psychological tasks.","PeriodicalId":220218,"journal":{"name":"2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Multi Scale Cognitive Architecture to Account for the Adaptive and Reflective Nature of Behaviour\",\"authors\":\"O. Larue, P. Poirier, R. Nkambou\",\"doi\":\"10.1109/WI-IAT.2012.255\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a multi-agent cognitive architecture in which reactive and sequential processes can dynamically influence each other to insure that behaviour is responsive to current context (behavioural and situational) while sensitive to the longer term behavioural sequences needed to solve complex problems. We present the implementation of such a system using an agent based approach and illustrate its processing trough the simulation of two psychological tasks.\",\"PeriodicalId\":220218,\"journal\":{\"name\":\"2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WI-IAT.2012.255\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WI-IAT.2012.255","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Multi Scale Cognitive Architecture to Account for the Adaptive and Reflective Nature of Behaviour
We present a multi-agent cognitive architecture in which reactive and sequential processes can dynamically influence each other to insure that behaviour is responsive to current context (behavioural and situational) while sensitive to the longer term behavioural sequences needed to solve complex problems. We present the implementation of such a system using an agent based approach and illustrate its processing trough the simulation of two psychological tasks.