What role do affective feelings (feelings/emotions/moods) play in adaptive behaviour? What are the implications of this for understanding and developing artificial general intelligence? Leading theoretical models of brain function are beginning to shed light on these questions. While artificial agents have excelled within narrowly circumscribed and specialised domains, domain-general intelligence has remained an elusive goal in artificial intelligence research. By contrast, humans and nonhuman animals are characterised by a capacity for flexible behaviour and general intelligence. In this article I argue that computational models of mental phenomena in predictive processing theories of the brain are starting to reveal the mechanisms underpinning domain-general intelligence in biological agents, and can inform the understanding and development of artificial general intelligence. I focus particularly on approaches to computational phenomenology in the active inference framework. Specifically, I argue that computational mechanisms of affective feelings in active inference—affective self-modelling—are revealing of how biological agents are able to achieve flexible behavioural repertoires and general intelligence. I argue that (i) affective self-modelling functions to “tune” organisms to the most tractable goals in the environmental context; and (ii) affective and agentic self-modelling is central to the capacity to perform mental actions in goal-directed imagination and creative cognition. I use this account as a basis to argue that general intelligence of the level and kind found in biological agents will likely require machines to be implemented with analogues of affective self-modelling.

情感感受（感觉/情绪/情绪）在适应性行为中起什么作用？这对理解和发展通用人工智能有什么影响？领先的脑功能理论模型开始阐明这些问题。虽然人工智能在狭隘和专业领域表现出色，但领域通用智能仍然是人工智能研究中难以实现的目标。相比之下，人类和非人类动物的特点是具有灵活行为和一般智力的能力。在本文中，我认为预测处理中心理现象的计算模型大脑理论开始揭示支持生物智能体领域通用智能的机制，并可以为人工通用智能的理解和发展提供信息。我特别关注主动推理框架中的计算现象学方法。具体来说，我认为主动推理中的情感计算机制——情感自我建模——揭示了生物代理如何能够实现灵活的行为库和一般智能。我认为（i）情感自我建模功能可以“调整”生物体以适应环境背景下最容易处理的目标；(ii) 情感和代理的自我塑造是执行能力的核心目标导向想象和创造性认知中的心理行为。我以此为基础来论证在生物制剂中发现的水平和种类的一般智能可能需要用情感自我建模的类似物来实现机器。