mlsanityData to 14 Oct 2026

Adaptive Intelligence: leveraging insights from adaptive behavior in animals to build flexible AI systems

arXiv 2411.15234 ↗First posted 21 Nov 2024q-bio.NC cs.AIcited by 5

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Abstract (arXiv)

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.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 38 of its 141 references that are in the map. First posted on arXiv 21 Nov 2024.

Builds on

38 of 141 references.

References · 38

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26 more
  1. 2024LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Modelscited by 584
  2. 2017Variational Continual Learningcited by 339
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  11. 2020Event-Based Backpropagation can compute Exact Gradients for Spiking Neural Networkscited by 59
  12. 2019Deep learning tools for the measurement of animal behavior in neurosciencecited by 44
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  21. 2021Measuring and modeling the motor system with machine learningcited by 7
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  26. 2022Elastic Weight Consolidation Improves the Robustness of Self-Supervised Learning Methods under Transfercited by 1

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 5.

5 papers.

  1. 2026NeuroAI and Beyond: Bridging Between Advances in Neuroscience and Artificial Intelligencecited by 1
  2. 2026Assessing mentalization in humans and large language modelscited by 1
  3. 2026When Does Structure Matter in Continual Learning? Dimensionality Controls When Modularity Shapes Representational Geometrycited by 0
  4. 2026Dimensionality Controls When Modularity Helps in Continual Learningcited by 0
  5. 2026The Ups and Downs of Backprop Weightscited by 0

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