Abstract
AbstractAs artificial intelligence (AI) technology advances, we increasingly delegate mental tasks to machines. However, today’s AI systems usually do these tasks with an unusual imbalance of insight and understanding: new, deeper insights are present, yet many important qualities that a human mind would have previously brought to the activity are utterly absent. Therefore, it is crucial to ask which features of minds have we replicated, which are missing, and if that matters. One core feature that humans bring to tasks, when dealing with the ambiguity, emergent knowledge, and social context presented by the world, is reflection. Yet this capability is completely missing from current mainstream AI. In this paper we ask what reflective AI might look like. Then, drawing on notions of reflection in complex systems, cognitive science, and agents, we sketch an architecture for reflective AI agents, and highlight ways forward.
Publisher
Springer Science and Business Media LLC
Reference111 articles.
1. Abadi, M., Barham, P., Chen, J., et al. (2016). $$\{$$TensorFlow$$\}$$: a system for $$\{$$Large-Scale$$\}$$ machine learning. In 12th USENIX symposium on operating systems design and implementation (OSDI 16), pp. 265–283.
2. Aishwaryaprajna, A. & Lewis, P. R. (2023). Exploring intervention in co-evolving deliberative neuro-evolution with reflective governance for the sustainable foraging problem. In Artificial Life Conference Proceedings 35, MIT Press One Rogers Street, Cambridge, p. 140.
3. Anderson, J. R., Matessa, M., & Lebiere, C. (1997). ACT-R: A theory of higher level cognition and its relation to visual attention. Human-Computer Interaction, 12(4), 439–462.
4. Atkinson, K., & Bench-Capon, T. (2007). Practical reasoning as presumptive argumentation using action based alternating transition systems. Artificial Intelligence, 171(10–15), 855–874.
5. Atkinson, K., & Bench-Capon, T. (2016). States, goals and values: Revisiting practical reasoning. Argument & Computation, 7(2–3), 135–154.
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