We propose the Small Loop Problem as a challenge for biologically inspired cognitive architectures. This challenge consists of designing an agent that would autonomously organize its behavior through interaction with an initially unknown environment that offers basic sequential and spatial regularities. The Small Loop Problem demonstrates four principles that we consider crucial to the implementation of emergent cognition: environment-agnosticism, self-motivation, sequential regularity learning, and spatial regularity learning. While this problem is still unsolved, we report partial solutions that suggest that its resolution is realistic. © 2013 Springer-Verlag.
CITATION STYLE
Georgeon, O. L., & Marshall, J. B. (2013). The small loop problem: A challenge for artificial emergent cognition. In Advances in Intelligent Systems and Computing (Vol. 196 AISC, pp. 137–144). Springer Verlag. https://doi.org/10.1007/978-3-642-34274-5_27
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