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35 lines
2 KiB
Markdown
35 lines
2 KiB
Markdown
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title: "A Framework for Testimony-Infused Automated Adjudicative Dynamic
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Multi-Agent Reasoning in Ethically Charged Scenarios"
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authors: [
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"Brandon Rozek",
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"Michael Giancola",
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"Selmer Bringsjord",
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"Naveen Sundar Govindarajulu"
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]
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publish_date: "2022/07"
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conference: "International Conference on Robot Ethics and Standards"
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isbn: "978-1-7396142-0-1"
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doi: "10.13180/icres.2022.18-19.07.009"
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firstpage: 47
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lastpage: 66
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language: "English"
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pdf_url: "https://www.clawar.org/icres2022/wp-content/uploads/2022/07/ICRES2022-Proceedings-manuscript.pdf#page=61"
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abstract: "In “high stakes” multi-agent decision-making under uncertainty, testimonial evidence flows from
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“witness” agents to “adjudicator” agents, where the latter must rationally fix belief and knowl-
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edge, and act accordingly. The testimonies provided may be incomplete or even deceptive, and
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in many domains are offered in a context that includes other kinds of evidence, some of which
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may be incompatible with these testimonies. Therefore, before believing a testimony and on that
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basis moving forward, the adjudicator must systematically reason to suitable strength of belief, in
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a manner that takes account of said context, and globally judges the core issue at hand. To fur-
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ther complicate matters, since the relevant information perceived by the adjudicator changes over
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time, adjudication is a nonmonontonic/defeasible affair: adjudicators must dynamically strengthen,
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weaken, defeat, and reinstate belief and knowledge. Toward the engineering of artificial agents ca-
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pable of handling these representation-and-reasoning demands arising from testimonial evidence
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in multi-agent decision-making, we explore herein extensions to one of our prior cognitive calculi:
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the Inductive Cognitive Event Calculus (IDCEC). We ground these extensions in a recent, tragic
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drone-strike scenario that unfolded in Kabul, Afghanistan, in the hope that use by humans of our
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brand of logic-based AI in future such scenarios will save human lives."
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---
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