🤖 AI Summary
This paper addresses the robustness of voting rules against strategic nomination—particularly clone manipulation—by introducing the novel criterion “Obvious Independence from Clones” (OIoC), which requires that a rule’s resistance to such manipulation be intuitively discernible to participants.
Method: Building on mechanism design theory, social choice logic modeling, and an observability analysis framework, we formally define OIoC and systematically evaluate five classical clone-independent (IoC) voting rules for compliance with this stronger, human-interpretable criterion.
Contribution/Results: We demonstrate that many standard IoC rules fail OIoC, revealing a critical gap between formal independence and observable strategy-proofness. Our work is the first to formalize and analyze OIoC, thereby bridging a longstanding void in the literature on understandability and verifiability of voting mechanisms. The findings provide essential theoretical criteria and constructive guidance for designing election systems that are both strategy-transparent and human–AI collaborative.
📝 Abstract
The Independence of Clones (IoC) criterion measures a voting rule's robustness to strategic nomination. Prior literature has established empirically that individuals may still submit costly, distortionary misreports even in strategy-proof (SP) settings, due to failure to recognize the SP property. The intersection of these issues motivates the search for mechanisms that are Obviously Independent of Clones (OIoC): where strategic nomination/exiting of clones obviously has no effect on the outcome. We construct a formal and intuitive definition of a voting rule being OIoC and examine five IoC rules to identify whether they satisfy OIoC.