This paper focuses on general intelligence, g. We first point to broadly accepted facts about g: it is robust, reliable, and sensitive to learning. We then summarize conflicting theories about its nature and development (Mutualism, Process Overlap Theory, and Dynamic Mental Field Theory) and suggest how future research may resolve their disputes. A model is proposed for g involving a core meaning-making mechanism, noetron, drawing on Alignment, Abstraction, and Cognizance, perpetually generating new mental content. Noetron develops through several levels of control: episodic ➔ attentional ➔ inferential ➔ truth ➔ epistemic control in infancy, preschool, childhood, adolescence, and adulthood, respectively. Finally, we propose an agenda for future brain research, assuming a brain noetron, and artificial intelligence research, assuming an artificial noetron, that might uncover the underlying brain mechanisms of g and generate artificial general intelligence.

本文侧重于一般智能，g。我们首先指出关于 g 的广泛接受的事实：它健壮、可靠且对学习敏感。然后，我们总结了关于其性质和发展的相互冲突的理论（互惠主义、过程重叠理论和动态心理场理论），并建议未来的研究如何解决他们的争议。为 g 提出了一个模型，涉及核心意义制造机制 noetron，利用对齐、抽象和认知，不断产生新的心理内容。Noetron 通过几个控制层次发展：分别在婴儿期、学龄前、儿童期、青春期和成年期的情景控制 ➔ 注意力 ➔ 推理 ➔ 真相 ➔ 认知控制。最后，我们为未来的大脑研究提出了一个议程，假设有一个大脑 noetron 和人工智能研究，