The Symbol Grounding Problem Has Been Solved : Or Maybe Not ?

By Aaron Sloman. 2010

Subfields: Cognitive Science & Psychology, Philosophy

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Science & Psychology

1. Felix Hill
2. Phil Blunsom
3. Masataro Asai
4. Karl Moritz Hermann
5. Alex S. Fukunaga
6. Demis Hassabis

In Philosophy

1. Felix Hill
2. Masataro Asai
3. Alex S. Fukunaga
4. Demis Hassabis

Citations in the corpus

• Grounded Language Learning in a Simulated 3D World (2017, background): “…unsurprisingly, the few systems that attempt to learn language grounding in artificial agents do so with respect to environments that are far simpler than the continuous, noisy sensory experience encountered by humans (Steels, 2008; Roy and Pentland, 2002; Krening et al., 2016; Yu et al., 2017).”
• Unsupervised Grounding of Plannable First-Order Logic Representation from Images (2019, background): “…m , the second row is Symbol grounding is an unsupervised process of establishing a mapping from huge, noisy, continuous, unstructured inputs to a set of compact, discrete, identifiable (structured) entities, i.e., symbols (Harnad 1990; Taddeo and Floridi 2005; Steels 2008; Asai and Fukunaga 2018).”
• Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary (2017, background): “In particular this first requires generating symbols from raw sensor input, i.e., the symbol grounding problem [ Steels, 2008 ] .”