{"title":"仿生模拟三种单胺系统,在机器中复制情感现象","authors":"Alexey Leukhin , Max Talanov , Jordi Vallverdú , Fail Gafarov","doi":"10.1016/j.bica.2018.10.007","DOIUrl":null,"url":null,"abstract":"<div><p><span>In this paper we present the validation of the three-dimensional model of emotions by Hugo Lövheim the “cube of emotion” via neurosimulation in the NEST. We also present the extension of original “cube of emotion” with the bridge to computational processes parameters. The neurosimulation is done via re-implementation of DA, 5-HT and NA subsystems of a rat brain to replicate 8 basic psycho-emotional states according to the “cube of emotion”. Results of neurosimulations indicate the incremental influence of DA and NA over computational resources of a psycho-emotional state while 5-HT decreases the computational resources used to calculate a psycho-emotional state. This way we indicate the feasibility of the bio-plausible re-implementation of psycho-emotional states in a computational system. This approach could be useful extension of </span>decision making<span> and load balancing components of modern artificial agents as well as intelligent robotic systems.</span></p></div>","PeriodicalId":48756,"journal":{"name":"Biologically Inspired Cognitive Architectures","volume":"26 ","pages":"Pages 166-173"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.bica.2018.10.007","citationCount":"0","resultStr":"{\"title\":\"Bio-plausible simulation of three monoamine systems to replicate emotional phenomena in a machine\",\"authors\":\"Alexey Leukhin , Max Talanov , Jordi Vallverdú , Fail Gafarov\",\"doi\":\"10.1016/j.bica.2018.10.007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p><span>In this paper we present the validation of the three-dimensional model of emotions by Hugo Lövheim the “cube of emotion” via neurosimulation in the NEST. We also present the extension of original “cube of emotion” with the bridge to computational processes parameters. The neurosimulation is done via re-implementation of DA, 5-HT and NA subsystems of a rat brain to replicate 8 basic psycho-emotional states according to the “cube of emotion”. Results of neurosimulations indicate the incremental influence of DA and NA over computational resources of a psycho-emotional state while 5-HT decreases the computational resources used to calculate a psycho-emotional state. This way we indicate the feasibility of the bio-plausible re-implementation of psycho-emotional states in a computational system. This approach could be useful extension of </span>decision making<span> and load balancing components of modern artificial agents as well as intelligent robotic systems.</span></p></div>\",\"PeriodicalId\":48756,\"journal\":{\"name\":\"Biologically Inspired Cognitive Architectures\",\"volume\":\"26 \",\"pages\":\"Pages 166-173\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.bica.2018.10.007\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biologically Inspired Cognitive Architectures\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2212683X1830152X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Psychology\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biologically Inspired Cognitive Architectures","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212683X1830152X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Psychology","Score":null,"Total":0}
Bio-plausible simulation of three monoamine systems to replicate emotional phenomena in a machine
In this paper we present the validation of the three-dimensional model of emotions by Hugo Lövheim the “cube of emotion” via neurosimulation in the NEST. We also present the extension of original “cube of emotion” with the bridge to computational processes parameters. The neurosimulation is done via re-implementation of DA, 5-HT and NA subsystems of a rat brain to replicate 8 basic psycho-emotional states according to the “cube of emotion”. Results of neurosimulations indicate the incremental influence of DA and NA over computational resources of a psycho-emotional state while 5-HT decreases the computational resources used to calculate a psycho-emotional state. This way we indicate the feasibility of the bio-plausible re-implementation of psycho-emotional states in a computational system. This approach could be useful extension of decision making and load balancing components of modern artificial agents as well as intelligent robotic systems.
期刊介绍:
Announcing the merge of Biologically Inspired Cognitive Architectures with Cognitive Systems Research.
Cognitive Systems Research is dedicated to the study of human-level cognition. As such, it welcomes papers which advance the understanding, design and applications of cognitive and intelligent systems, both natural and artificial.
The journal brings together a broad community studying cognition in its many facets in vivo and in silico, across the developmental spectrum, focusing on individual capacities or on entire architectures. It aims to foster debate and integrate ideas, concepts, constructs, theories, models and techniques from across different disciplines and different perspectives on human-level cognition. The scope of interest includes the study of cognitive capacities and architectures - both brain-inspired and non-brain-inspired - and the application of cognitive systems to real-world problems as far as it offers insights relevant for the understanding of cognition.
Cognitive Systems Research therefore welcomes mature and cutting-edge research approaching cognition from a systems-oriented perspective, both theoretical and empirically-informed, in the form of original manuscripts, short communications, opinion articles, systematic reviews, and topical survey articles from the fields of Cognitive Science (including Philosophy of Cognitive Science), Artificial Intelligence/Computer Science, Cognitive Robotics, Developmental Science, Psychology, and Neuroscience and Neuromorphic Engineering. Empirical studies will be considered if they are supplemented by theoretical analyses and contributions to theory development and/or computational modelling studies.