CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Intelligence without representation
Artificial Intelligence
How logic emerges from the dynamics of information
Logic and information flow
A cognitive architecture for artificial vision
Artificial Intelligence
Exploring artificial intelligence in the new millennium
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Reconstructing force-dynamic models from video sequences
Artificial Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Exploratory learning structures in artificial cognitive systems
Image and Vision Computing
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In conventional computer vision systems symbol grounding is invariably established via supervised learning. We investigate unsupervised symbol grounding mechanisms that rely on perception action coupling. The mechanisms involve unsupervised clustering of observed actions and percepts. Their association gives rise to behaviours that emulate human action. The capability of the system is demonstrated on the problem of mimicking shape puzzle solving. It is argued that the same mechanisms support unsupervised cognitive bootstrapping in cognitive vision.