The symbol grounding problem has been solved, so what’s next?
By Luc Steels. 2008
179 citations recorded by the source corpus.
Subfields: Cultural Studies, Experimental and Cognitive Psychology, Language and Linguistics, 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 Cultural Studies
In Experimental and Cognitive Psychology
In Language and Linguistics
In Cognitive Science & Psychology
- Masataro Asai
- Felix Hill
- Aaron Sloman
- Phil Blunsom
- Nikolaos Mavridis
- Karl Moritz Hermann
- Demis Hassabis
In Philosophy
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).”
- Multi-Modal Knowledge Graph Construction and Application: A Survey (2022, background): “A human being cannot understand what a dog is without the experience of living with a dog, which enlightens researchers to establish the connection between the symbol Dog and the experience of dogs, that is, grounding a symbol to its physical world meaning [12], [13], [14].”
- Unsupervised Grounding of Plannable First-Order Logic Representation from Images (2019, background): “cess 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). PDDL (McDermott 2000) has six kinds of symbols: Objects, predi”
- The Symbol Grounding Problem Has Been Solved : Or Maybe Not ? (2010, background): “…still quite different views on its importance, ranging from “symbolic” approaches that practically ignore the cognitive significance of such an issue (e.g. Fodor 1983), to “embodied” approaches that acknowledge its importance, but suggest that the problem has practically been solved (Steels 2008).”
- A review of verbal and non-verbal human-robot interactive communication (2014, background): “A number of papers has recently also appeared claiming to have provided a solution to the “symbol grounding problem”, such as [86].”