concept

symbols

Facts (9)

Sources

AI Sessions #9: The Case Against AI Consciousness (with Anil Seth) conspicuouscognition.com Conspicuous Cognition Feb 17, 2026 2 facts

claimAn algorithm is determined by the input-output mapping between a set of symbols.

claimIn the standard definition established by Alan Turing, computation is defined as a mapping between a set of symbols through a series of steps, known as an algorithm.

(PDF) Language and Consciousness; How Language Implies Self ... academia.edu Academia.edu 2 facts

claimThe authors of the 2017 paper in 'Studies in Logic, Grammar and Rhetoric' argue that concepts such as self, identity, time, place, causality, and purpose cannot be coherently imagined or known without non-definitional alphabets, symbols, and semantic structures.

claimLanguage creates an illusion of shared reality and inflates the ego by compressing the complexity of individual emotions and experiences into simplified symbols.

A Comprehensive Review of Neuro-symbolic AI for Robustness ... link.springer.com Springer Dec 9, 2025 1 fact

referenceUnified approaches in neuro-symbolic AI aim to embed both neural and symbolic representations within a shared framework, where symbols are encoded as continuous vectors to enable symbolic manipulation within the differentiable space of neural models.

Not Minds, but Signs: Reframing LLMs through Semiotics - arXiv arxiv.org arXiv Jul 1, 2025 1 fact

referenceNewell and Simon published 'Computer science as empirical inquiry: Symbols and search' in the Communications of the ACM in 1976.

Neuro-Symbolic AI: Explainability, Challenges, and Future Trends arxiv.org arXiv Nov 7, 2024 1 fact

referenceThe paper 'Deep symbolic learning: Discovering symbols and rules from perceptions' by Daniele et al. (2022) investigates the discovery of symbols and rules from perceptual data using deep symbolic learning.

4.7 Overcoming Barriers to Effective Written Communication pressbooks-dev.oer.hawaii.edu University of Hawaiʻi 1 fact

claimNonverbal aspects of written communication that influence the message include symbols, document design, font choice, and the timing of message delivery.

Knowledge Graphs: Opportunities and Challenges - Springer Nature link.springer.com Springer Apr 3, 2023 1 fact

claimZhu et al. (2022b) argue that existing knowledge graphs represented by pure symbols result in a poor capability for machines to understand the real world.