Neuro-Symbolic A.I. Algorithms and Systems

Published 2020-03

The development of A.I. has been on two conceptual tracks since the 1950s: symbolic (machines use a base of knowledge and rules that represent concepts) and non-symbolic (machines use raw data to create their own patterns and representations of concepts).

Source

Verdict

persistedThe same trend is listed again within the publisher's next two editions (D33).

Continued as ftsg-tech-trends-2021-054

A trend is graded on whether the publisher keeps it, never as a hit or a miss (D6, D33).

In our research

QuadrantNeuro-Symbolic AI
WintermuteNeuro-Symbolic Reasoning Systems

All captured fields

rank: 21
section: Artificial Intelligence
subsection: Processes, Systems and Computational Neuroscience
subject: Neuro-Symbolic A.I. Algorithms and Systems
page: 38
confidence: medium
note: Title from the contents list in the SlideShare transcript of the publisher upload; order and section from contents page numbers. Quote added 2026-10-02 from the full slide transcript of the publisher upload (SlideShare, Wayback capture of the newer page format); source_url points at the section that holds the page.