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Establishing Meta-Decision-Making for AI: An Ontology of Relevance, Representation and Reasoning
October 02, 2022 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Cosmin Badea, Leilani Gilpin
arXiv ID
2210.00608
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.CY,
cs.LO,
cs.MA
Citations
5
Venue
arXiv.org
Last Checked
4 months ago
Abstract
We propose an ontology of building decision-making systems, with the aim of establishing Meta-Decision-Making for Artificial Intelligence (AI), improving autonomy, and creating a framework to build metrics and benchmarks upon. To this end, we propose the three parts of Relevance, Representation, and Reasoning, and discuss their value in ensuring safety and mitigating risk in the context of third wave cognitive systems. Our nomenclature reflects the literature on decision-making, and our ontology allows researchers that adopt it to frame their work in relation to one or more of these parts.
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