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 "name": "Centralized And Decentralized Reputation Allocate Evaluation Differently",
 "text": "Evaluative authority has an institutional location. Noorian and Ulieru classify centralized reputation systems by a central database and authority that receive transaction reports, aggregate ratings, and calculate public scores. Their decentralized category removes that location. Each agent stores ratings and uses a tailored computation engine to calculate and validate the trustworthiness of a potential partner.\n\nThis classification independently extends Kaal's distinction. A centralized reward model and cohort-governed reputation do not merely apply different techniques to the same evaluator. They allocate the collection, computation, and validation of evaluative information to different actors.\n\nThe correspondence is limited. Noorian and Ulieru study trust and reputation systems in online communities and open multi-agent systems. They do not analyze reward modeling, Kaal's cohort design, deliberation, or reputation-bearing consequences. Their framework supports the institutional allocation claim. It does not establish the comparative accuracy, legitimacy, or resistance to manipulation of either design in Kaal's setting.",
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  "Noorian and Ulieru classify trust and reputation systems. They do not analyze reward modeling.",
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  "name": "The State of the Art in Trust and Reputation Systems: A Framework for Comparison",
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  "citation": "Wulf A. Kaal, Computative Economics: A Framework for Economic Analysis under Computational Abundance (2026). SSRN: https://ssrn.com/abstract=7261481",
  "paper": "Wulf A. Kaal, Computative Economics: A Framework for Economic Analysis under Computational Abundance",
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    "text": "In centralized reputation systems, information about the QoS of a particular SP is stored in a central database. For this reason, after every transaction agents are asked to report the performance of their transaction partners to a central authority. The accumulated ratings are evaluated using an employed reputation calculation engine to derive the expected reputation score for every participant and then make them publicly available [9].",
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