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A Survey on Verification and Validation, Testing and Evaluations of Neurosymbolic Artificial Intelligence

Survey on neurosymbolic AI's potential to ease testing and evaluation processes.

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A Survey on Verification and Validation, Testing and Evaluations of Neurosymbolic Artificial Intelligence

By Justus Renkhoff, Ke Feng, Marc Meier-Doernberg, Alvaro Velasquez, Houbing SongIEEE Transactions on Artificial Intelligence
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The paper surveys the current state of neurosymbolic artificial intelligence (AI), which combines symbolic and sub-symbolic AI. It explores how neurosymbolic applications can simplify verification, validation, testing, and evaluation processes.

The authors analyze taxonomies, algorithms, and techniques used in current neurosymbolic applications.

Abstract

The paper surveys the current state of neurosymbolic artificial intelligence (AI), which combines symbolic and sub-symbolic AI. It explores how neurosymbolic applications can simplify verification, validation, testing, and evaluation processes. The authors analyze taxonomies, algorithms, and techniques used in current neurosymbolic applications.

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neurosymbolic aiverification and validationtesting and evaluationartificial intelligencesymbolic aisub-symbolic aiAI AgentsLarge Language ModelsSemantic InteroperabilityOntology & Taxonomy
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A Survey on Verification and Validation, Testing and Evaluations of Neurosymbolic Artificial Intelligence | Aramai