AINeutralarXiv – CS AI · Apr 76/10
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Rashomon Memory: Towards Argumentation-Driven Retrieval for Multi-Perspective Agent Memory
Researchers propose Rashomon Memory, a new AI agent memory architecture where multiple goal-conditioned agents maintain parallel interpretations of the same events and negotiate through argumentation at query time. The system allows AI agents to handle conflicting perspectives on experiences rather than forcing a single interpretation, using Dung's argumentation semantics to determine which proposals survive retrieval.