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On Machine Symbol Grounding and Optimization
2011
International Journal of Cognitive Informatics and Natural Intelligence
Autonomous systems gather high-dimensional sensorimotor data with their multimodal sensors. Symbol grounding is about whether these systems can, based on this data, construct symbols that serve as a vehicle for higher symbol-oriented cognitive processes. Machine learning and data mining techniques are geared towards finding structures and input-output relations in this data by providing appropriate interface algorithms that translate raw data into symbols. Can autonomous systems learn how to
doi:10.4018/ijcini.2011070105
fatcat:qvlfoyfkfvdl7bmtxykq4zwtza