Abstract
The continued research, development and acceptance of intelligent systems for diagnosis and decision support has uncovered many practical considerations for the interaction of intelligent, autonomous agents. One such consideration is the possibility of an agent intentionally transmitting misinformation to other agents or to a human decision maker to achieve its own goals. Most intelligent, knowledge-based systems to date have assumed all experts involved in system development operate toward a shared goal and operate in good faith. We wish to challenge these assumptions and consider cases where agents in the system are not assumed to operate in good faith and therefore misinformation is a possibility. Most literature devoted to deception in agent systems focuses on building trust relationships through a history of interaction. We apply models of deception and deception detection from psychology and cognitive science to intelligent multi-agent systems. We focus on a model for deception detection in which the detection and analysis of deception are decoupled. Finally, we introduce a novel method for the detection of deception in multi-agent systems based on correlations between the agents in the system.
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© 2004 Springer-Verlag Berlin Heidelberg
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Johnson, G., Santos, E. (2004). Detecting Deception in Intelligent Systems I: Activation of Deception Detection Tactics. In: Tawfik, A.Y., Goodwin, S.D. (eds) Advances in Artificial Intelligence. Canadian AI 2004. Lecture Notes in Computer Science(), vol 3060. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24840-8_24
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DOI: https://doi.org/10.1007/978-3-540-24840-8_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22004-6
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