FROM CONTINUOUS OBSERVATIONS TO SYMBOLIC CONCEPTS: A DISCRIMINATION-BASED STRATEGY FOR GROUNDED CONCEPT LEARNING

From Continuous Observations to Symbolic Concepts: A Discrimination-Based Strategy for Grounded Concept Learning

Autonomous agents perceive the world through streams of continuous sensori-motor data.Yet, in order to reason and communicate about their environment, agents need to be able to distill meaningful concepts from their raw observations.Most current approaches that bridge between the continuous and symbolic domain are using deep learning techniques.Whi

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