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Causal Impact Analysis for Asynchronous Decision Making
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A4 Artikkeli konferenssijulkaisussa
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en
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5
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2024 IEEE International Symposium on Information Theory, ISIT 2024 - Proceedings, pp. 1641-1645, IEEE International Symposium on Information Theory - Proceedings
Abstract
We consider a collaborative decision-making frame-work where heterogeneous agents receive streaming and partially informative observations. We consider two asynchronous scenarios that differ based on the agents' participation patterns and the fusion center's policies. By using hypothetical interventions on individual agents to conduct credit assignment, we attribute causal impact scores to each agent for the joint decision. By further employing these scores in a guided theoretical analysis, we compare the fusion center's two policies by evaluating their vulnerability to adversarial attacks, robustness against moderate deviations, and fairness.
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Publisher Copyright: © 2024 IEEE.
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Kayaalp, M, Inan, Y, Koivunen, V & Sayed, A H 2024, Causal Impact Analysis for Asynchronous Decision Making. in 2024 IEEE International Symposium on Information Theory, ISIT 2024 - Proceedings. IEEE International Symposium on Information Theory - Proceedings, IEEE, pp. 1641-1645, IEEE International Symposium on Information Theory, Athens, Greece, 07/07/2024. https://doi.org/10.1109/ISIT57864.2024.10619126