情绪、扩散性情绪控制与自主认知系统的动机问题
Emotions, diffusive emotional control and the motivational problem for autonomous cognitive systems
摘要：
所有自我活跃的生物都需要解决动机问题：在他们生活的任何时刻做什么。对于人类和非人类动物来说，至少有两个不同层次的动机驱动是已知的，生存的基本需求和情感驱动导致了广泛的复杂策略，如探索性学习和社交。驱力的情感层有一部分具有普遍性，在广泛的环境设置中是有益的。情绪在大脑中通过神经调质的释放而被触发，而神经调质同时也是元学习的媒介。情感、元学习和通用行动策略之间的这种内在关系表明，情感控制对于人工智能和合成认知系统的设计至关重要。这个概念的实现提出了一个密集和均匀的关联网络（dHan）。
英文摘要：
All self-active living beings need to solve the motivational problem: The question what to do at any moment of their live. For humans and non-human animals at least two distinct layers of motivational drives are known, the primary needs for survival and the emotional drives leading to a wide range of sophisticated strategies, such as explorative learning and socializing. Part of the emotional layer of drives has universal facets, being beneficial in an extended range of environmental settings. Emotions are triggered in the brain by the release of neuromodulators, which are, at the same time, the agents for meta-learning. This intrinsic relation between emotions, meta-learning and universal action strategies suggests a central importance for emotional control for the design of artificial intelligences and synthetic cognitive systems. An implementation of this concept is proposed in terms of a dense and homogeneous associative network (dHan).
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
