Difference between revisions of "Symbolic Artificial Intelligence"
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Revision as of 22:04, 30 June 2023
YouTube ... Quora ...Google search ...Google News ...Bing News
- Neuro-Symbolic ... Symbolic Artificial Intelligence
- Singularity ... Sentience ... AGI ... Curious Reasoning ... Emergence ... Moonshots ... Explainable AI ... Automated Learning
Symbolic Artificial Intelligence refers to AI approaches that are based on explicit symbol manipulation. This includes things like term rewriting, graph algorithms, and natural language question answering. It is often more narrowly understood as a reference to methods based on formal logic, as utilized in the subfield of AI called Knowledge Representation and Reasoning. The collection of all methods in artificial intelligence research that are based on high-level symbolic (human-readable) representations of problems, logic and search. Symbolic AI used tools such as logic programming, production rules, semantic nets and frames, and it developed applications such as knowledge-based systems (in particular, expert systems), symbolic mathematics, automated theorem provers, ontologies, the semantic web, and automated planning and scheduling systems. The Symbolic AI paradigm led to seminal ideas in search, symbolic programming languages, agents, multi-agent systems, the semantic web, and the strengths and limitations of formal knowledge and reasoning systems. Symbolic Artificial Intelligence | Wikipedia
