Abstract Artificial Intelligence of the next generation needs to interact with users socially, convincing them in its ability to understand human minds, including emotions. For this to happen, an artificial emotional intelligence is needed, capable of adequate, believable behavior in social emotional interactions. Building on previous developments, the present work extends the general framework of emotional Biologically Inspired Cognitive Architecture (eBICA: Samsonovich, 2013, 2018), endowing it with fluents describing, in addition to appraisals, somatic markers, feelings, emotions, moods, emotional reactions and biases. Key building blocks that integrate them are moral schemas and semantic maps. The model describes interaction of three factors: plans and commitments, moral and ethical values, and somatic comfort. Learning in this framework includes self-organization of semantic maps that in turn may provide guidance for active humanlike learning. Implications for empirical studies and practical applications are discussed together with the expected impact.

中文翻译：

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人工智能的社会情感大脑启发认知架构框架

摘要 下一代人工智能需要与用户进行社交互动，说服他们理解人类思想（包括情感）的能力。要做到这一点，就需要一种人工情商，它能够在社会情感互动中做出充分、可信的行为。基于先前的发展，目前的工作扩展了情感生物启发认知架构的总体框架（eBICA：Samsonovich，2013，2018），赋予它流畅的描述，除了评估、躯体标记、感觉、情绪、情绪、情绪反应和偏见。整合它们的关键构建块是道德图式和语义图。该模型描述了三个因素的相互作用：计划和承诺、道德和伦理价值观以及身体舒适度。该框架中的学习包括语义图的自组织，这反过来可以为主动的类人学习提供指导。对实证研究和实际应用的影响与预期影响一起讨论。