{"title":"人类、动物和人工智能中的元认知心理物理学:绘制内省系统的研究议程","authors":"Stephen M. Fleming","doi":"10.53765/20512201.30.9.113","DOIUrl":null,"url":null,"abstract":"Kammerer and Frankish (this issue) propose an exciting new research programme on the computational form of introspective systems. Pursuing this goal requires measures that can isolate introspective capacity from response biases and first-order processes. I suggest that metacognitive psychophysics is well placed to meet this challenge, allowing the mapping of introspective architectures in humans, animals, and artificial systems.","PeriodicalId":47796,"journal":{"name":"Journal of Consciousness Studies","volume":"31 1","pages":"0"},"PeriodicalIF":1.6000,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Metacognitive Psychophysics in Humans, Animals, and AI: A Research Agenda for Mapping Introspective Systems\",\"authors\":\"Stephen M. Fleming\",\"doi\":\"10.53765/20512201.30.9.113\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Kammerer and Frankish (this issue) propose an exciting new research programme on the computational form of introspective systems. Pursuing this goal requires measures that can isolate introspective capacity from response biases and first-order processes. I suggest that metacognitive psychophysics is well placed to meet this challenge, allowing the mapping of introspective architectures in humans, animals, and artificial systems.\",\"PeriodicalId\":47796,\"journal\":{\"name\":\"Journal of Consciousness Studies\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2023-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Consciousness Studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.53765/20512201.30.9.113\",\"RegionNum\":4,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"PHILOSOPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Consciousness Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53765/20512201.30.9.113","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"PHILOSOPHY","Score":null,"Total":0}
Metacognitive Psychophysics in Humans, Animals, and AI: A Research Agenda for Mapping Introspective Systems
Kammerer and Frankish (this issue) propose an exciting new research programme on the computational form of introspective systems. Pursuing this goal requires measures that can isolate introspective capacity from response biases and first-order processes. I suggest that metacognitive psychophysics is well placed to meet this challenge, allowing the mapping of introspective architectures in humans, animals, and artificial systems.
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