C. Lebiere, Edward A. Cranford, Michael Martin, Don Morrison, Andrea Stocco
{"title":"Cognitive Architectures and their Applications","authors":"C. Lebiere, Edward A. Cranford, Michael Martin, Don Morrison, Andrea Stocco","doi":"10.1109/CIC56439.2022.00018","DOIUrl":null,"url":null,"abstract":"Cognitive architectures are computational implementations of unified theories of cognition. The consensus of 50 years of research in cognitive architectures can be captured in the form of a Common Model of Cognition that can provide a guide for applications in neuroscience, artificial intelligence and robotics. Being able to represent human cognition in computational form enables a wide range of applications when humans and machines interact. Using cognitive models to represent common ground between deep learners and human users enables adaptive explanations. Cognitive models representing the behavior of cyber attackers can be used to optimize cyber defenses including techniques such as deceptive signaling. Cognitive models of human-automation interaction can improve robustness of human-machine teams by predicting disruptions to measures of trust under various adversarial situations.","PeriodicalId":170721,"journal":{"name":"2022 IEEE 8th International Conference on Collaboration and Internet Computing (CIC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 8th International Conference on Collaboration and Internet Computing (CIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIC56439.2022.00018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Cognitive architectures are computational implementations of unified theories of cognition. The consensus of 50 years of research in cognitive architectures can be captured in the form of a Common Model of Cognition that can provide a guide for applications in neuroscience, artificial intelligence and robotics. Being able to represent human cognition in computational form enables a wide range of applications when humans and machines interact. Using cognitive models to represent common ground between deep learners and human users enables adaptive explanations. Cognitive models representing the behavior of cyber attackers can be used to optimize cyber defenses including techniques such as deceptive signaling. Cognitive models of human-automation interaction can improve robustness of human-machine teams by predicting disruptions to measures of trust under various adversarial situations.