认知统一理论视角下人工智能社会情感进路设计——基于萨姆索诺维奇的eBICA模型  

Design of Social Emotional Approaches of Artificial Intelligence from the Perspective of the Unified Theories of Cognition: Based on the eBICA model of Samsonovich

作　　者：刘鸿宇 LIU Hong-yu(School of Marxism,Nanjing Agricultural University,Nanjing 210095,China)

机构地区：[1]南京农业大学马克思主义学院,南京210095

出　　处：《自然辩证法研究》2022年第8期28-34,共7页Studies in Dialectics of Nature

基　　金：国家社科基金青年项目“机器人自主决策的伦理研究”(21CZX057)。

摘　　要：人工智能社会情感进路映射了人类社会情感发生的思维机制,对于开发新一代强人工智能载体至关重要。萨姆索诺维奇建构的脑启发eBICA模型阐明了认知统一理论架构中的情感功能,明晰情感功能中弱语义映射与伦理图式的机理并解释了基于评价、知觉标记、感受、情感状态、偏差、反应六个关键因子的社会情感函数关系。在此基础上,进一步提出神经认知与心理人格进路,为开发具有复杂社会情感功能的人工智能载体提供可行性方案。The social emotional approaches of artificial intelligence reflect the thinking mechanism of human social emotion, which is crucial to develop a new generation of strong AI carriers. The eBICA model constructed based on Samsonovich illustrates the emotional function in the unified theory of cognition. Through weak semantic maps and moral schemas, the social emotional computing functions are clarified based on appraisal, somatic marker, feeling, emotion, bias, and reaction six key factors. Finally, the neural cognition and psychological personality approaches are further proposed, and the feasible schemes for developing AI with complex social emotional functions are provided.

关 键 词：脑启发 社会情感 情感进路 eBICA 

分 类 号：N031[自然科学总论—科学技术哲学]