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This paper presents the initial modeling of a Multi-agent System (MAS) using the JaCaMo Platform applied to fraud detection. The MAS integrates a fraud detection system developed under the Céos Project (ceos.ufsc.br), which identifies new data in databases and verifies information through queries and cross-referencing, applying statistical and artificial intelligence techniques. In particular, agents in the MAS simulate the actions of prosecutors, investigating potential fraud through evidence-based trails, flagging only cases with significant evidence, and reducing the workload of human prosecutors in the investigation process.

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Multi-agent System for Fraud Detection in the Public Administration

  • 会议论文

  • 发表日期：

    2026年

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  • Eduardo C. Cabral,
  • Antonio E. Torres,
  • Mariana M. Heitor,
  • Arthur Erpen,
  • Mariana A. Steffen,
  • Luis G. Bornia,
  • Matheus M. dos Santos,
  • Luis G. Nardin,
  • Jerusa Marchi

摘要

This paper presents the initial modeling of a Multi-agent System (MAS) using the JaCaMo Platform applied to fraud detection. The MAS integrates a fraud detection system developed under the Céos Project (ceos.ufsc.br), which identifies new data in databases and verifies information through queries and cross-referencing, applying statistical and artificial intelligence techniques. In particular, agents in the MAS simulate the actions of prosecutors, investigating potential fraud through evidence-based trails, flagging only cases with significant evidence, and reducing the workload of human prosecutors in the investigation process.