Bio-plausible simulation of three monoamine systems to replicate emotional phenomena in a machine

Q2 Psychology
Alexey Leukhin , Max Talanov , Jordi Vallverdú , Fail Gafarov
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引用次数: 0

Abstract

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.

仿生模拟三种单胺系统,在机器中复制情感现象
在本文中,我们提出了通过神经模拟在NEST中验证雨果Lövheim“情绪立方体”的三维情绪模型。我们还提出了原始“情感立方体”的扩展,并建立了计算过程参数的桥梁。神经模拟是通过重新实现大鼠大脑的DA、5-HT和NA子系统,根据“情绪立方体”复制8种基本的心理-情绪状态来完成的。神经模拟的结果表明,DA和NA对心理情绪状态计算资源的影响是增加的,而5-HT则减少了用于计算心理情绪状态的计算资源。通过这种方式,我们表明了在计算系统中心理-情绪状态的生物似是而非的重新实现的可行性。这种方法可以作为现代人工智能体和智能机器人系统的决策和负载平衡组件的有用扩展。
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来源期刊
Biologically Inspired Cognitive Architectures
Biologically Inspired Cognitive Architectures COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEN-NEUROSCIENCES
CiteScore
3.60
自引率
0.00%
发文量
0
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.
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