ArticleFrontiers in robotics and AI2025
Modeling arbitrarily applicable relational responding with the non-axiomatic reasoning system: a Machine Psychology approach.
Article in Frontiers in robotics and AI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- From operant learning to arbitrarily applicable relational responding: a review of Machine Psychology with the non-axiomatic reasoning system.Frontiers in artificial intelligence · 2026Review
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Abstract
Arbitrarily Applicable Relational Responding (AARR) is a cornerstone of human language and reasoning, referring to the learned ability to relate symbols in flexible, context-dependent ways. In this paper, we present a novel theoretical approach for modeling AARR within an artificial intelligence framework using the Non-Axiomatic Reasoning System (NARS). NARS is an adaptive reasoning system designed for learning under uncertainty. We introduce a theoretical mechanism called
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