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This research presents a formal argumentation framework grounded in Scanlonian contractualism, enabling autonomous agents to resolve moral conflicts by evaluating principles no individual could reasonably reject. By integrating value-based filtering into the ASPIC+ structured argumentation system, the study offers a rigorous method for modeling how agent-specific values determine morally relevant reasons in shared environments. The work advances AI safety and alignment research by providing a logical structure for ethical decision-making that accounts for conflicting interests among multiple stakeholders.
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A Contractualist Argumentation Framework for Moral Decision-Making

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arXiv:2608.01937v1 Announce Type: new Abstract: Autonomous agents operating in shared environments must make decisions that affect multiple individuals with potentially conflicting interests. We propose a formal framework for moral decision-making grounded in Scanlon's contractualism, an ethical theory that evaluates the permissibility of actions in terms of principles that no one could reasonably reject. To operationalise contractualist reasoning, we use ASPIC+, a structured argumentation framework, extended with value-based filtering to model how each agent's values determine which reasons are morally relevant in the first place. The result is a Contractualist Argumentation Framework in which agents' reasons are formally represented, compared, and evaluated through argumentation semantics. We illustrate the approach through a worked example in a domestic setting and discuss its relation to existing value-based argumentation approaches.

Abstract:Autonomous agents operating in shared environments must make decisions that affect multiple individuals with potentially conflicting interests. We propose a formal framework for moral decision-making grounded in Scanlon's contractualism, an ethical theory that evaluates the permissibility of actions in terms of principles that no one could reasonably reject. To operationalise contractualist reasoning, we use ASPIC+, a structured argumentation framework, extended with value-based filtering to model how each agent's values determine which reasons are morally relevant in the first place. The result is a Contractualist Argumentation Framework in which agents' reasons are formally represented, compared, and evaluated through argumentation semantics. We illustrate the approach through a worked example in a domestic setting and discuss its relation to existing value-based argumentation approaches.

Artificial Intelligence (cs.AI); Computers and Society (cs.CY)

arXiv:2608.01937 [cs.AI]

(or arXiv:2608.01937v1 [cs.AI] for this version)

https://doi.org/10.48550/arXiv.2608.01937 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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