Biological intelligence is inherently adaptive -- animals continually adjust their actions based on environmental feedback. However, creating adaptive artificial intelligence (AI) remains a major challenge. The next frontier is to go beyond traditional AI to develop "adaptive intelligence," defined here as harnessing insights from biological intelligence to build agents that can learn online, generalize, and rapidly adapt to changes in their environment. Recent advances in neuroscience offer inspiration through studies that increasingly focus on how animals naturally learn and adapt their world models. In this Perspective, I will review the behavioral and neural foundations of adaptive biological intelligence, the parallel progress in AI, and explore brain-inspired approaches for building more adaptive algorithms.

翻译：生物智能本质上是自适应的——动物会持续根据环境反馈调整其行为。然而，创建自适应人工智能（AI）仍然是一个重大挑战。下一个前沿领域是超越传统AI，发展"自适应智能"，本文将其定义为：利用生物智能的洞见构建能够在线学习、泛化并快速适应环境变化的智能体。神经科学的最新进展通过日益聚焦于动物如何自然学习并调整其世界模型的研究提供了灵感。在本视角论文中，我将综述适应性生物智能的行为与神经基础、AI领域的并行进展，并探索受大脑启发的、用于构建更具适应性算法的研究路径。