{"title":"内在动机理论的认知基础","authors":"Nisheeth Srivastava, Komal Kapoor, P. Schrater","doi":"10.1109/DEVLRN.2011.6037327","DOIUrl":null,"url":null,"abstract":"Since intelligent agents make choices based on both external rewards and intrinsic motivations, the structure of a realistic decision theory should also present as an indirect model of intrinsic motivation. We have recently proposed a model of sequential choice-making that is grounded in well-articulated cognitive principles. In this paper, we show how our model of choice selection predicts behavior that matches the predictions of state-of-the-art intrinsic motivation models, providing both a clear causal mechanism for explaining its effects and testable predictions for situations where its predictions differ from those of existing models. Our results provide a unified cognitively grounded explanation for phenomena that are currently explained using different theories of motivation, creativity and attention.","PeriodicalId":256921,"journal":{"name":"2011 IEEE International Conference on Development and Learning (ICDL)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A cognitive basis for theories of intrinsic motivation\",\"authors\":\"Nisheeth Srivastava, Komal Kapoor, P. Schrater\",\"doi\":\"10.1109/DEVLRN.2011.6037327\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Since intelligent agents make choices based on both external rewards and intrinsic motivations, the structure of a realistic decision theory should also present as an indirect model of intrinsic motivation. We have recently proposed a model of sequential choice-making that is grounded in well-articulated cognitive principles. In this paper, we show how our model of choice selection predicts behavior that matches the predictions of state-of-the-art intrinsic motivation models, providing both a clear causal mechanism for explaining its effects and testable predictions for situations where its predictions differ from those of existing models. Our results provide a unified cognitively grounded explanation for phenomena that are currently explained using different theories of motivation, creativity and attention.\",\"PeriodicalId\":256921,\"journal\":{\"name\":\"2011 IEEE International Conference on Development and Learning (ICDL)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on Development and Learning (ICDL)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DEVLRN.2011.6037327\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Development and Learning (ICDL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DEVLRN.2011.6037327","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A cognitive basis for theories of intrinsic motivation
Since intelligent agents make choices based on both external rewards and intrinsic motivations, the structure of a realistic decision theory should also present as an indirect model of intrinsic motivation. We have recently proposed a model of sequential choice-making that is grounded in well-articulated cognitive principles. In this paper, we show how our model of choice selection predicts behavior that matches the predictions of state-of-the-art intrinsic motivation models, providing both a clear causal mechanism for explaining its effects and testable predictions for situations where its predictions differ from those of existing models. Our results provide a unified cognitively grounded explanation for phenomena that are currently explained using different theories of motivation, creativity and attention.