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Sarkadi, S. 2018, Deception. Paper presented at Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. 
Added by: SijanLibrarian (2022-07-05 09:46:05)   Last edited by: SijanLibrarian (2022-07-05 09:48:23)
Resource type: Proceedings Article
BibTeX citation key: Sarkadi2018
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Categories: Artificial Intelligence, Cognitive Science, Computer Science, Decision Theory, General, Military Science
Subcategories: Cognitive Electronic Warfare, Cyber, Decision making, Deep learning, Human decisionmaking, Machine learning, Military research
Creators: Sarkadi
Publisher: IJCAI-INT JOINT CONF ARTIF INTELL
Collection: Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
Views: 15/15
Views index: 26%
Popularity index: 6.5%
Abstract
Recent events that revolve around fake news indi-cate that humans are more susceptible than everto mental manipulation by powerful technologicaltools. In the future these tools may become au-tonomous. One crucial property of autonomousagents is their potential ability to deceive. Fromthis research we hope to understand the potentialrisks and benefits of deceptive artificial agents. Themethod we propose to study deceptive agents is bymaking them interact with agents that detect decep-tion and analyse what emerges from these interac-tions given multiple setups such as formalisationsof scenarios inspired from historical cases of deception.
  
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