Project funded by DARPA
PI: Jordan Boyd-Graber
Using a gaming environment based on the classic board game Diplomacy, SHADE will train and evaluate automated and artificial intelligence (AI)-assisted techniques that can identify and address the complications of multi-party negotiation with deception, collusion, profiling, and other real-world features.
Diplomatic negotiation is complex and requires a detailed, in-depth understanding of the positions and interactions of many potentially untrustworthy allies and adversaries. Successful diplomats must identify deceptions, explore valid courses of action, and assess the consequences of any diplomatic actions.
The UMD team is working to build datasets that are annotated for deception in online conversations and build agents that communicate using natural language.
Associate Professor, Computer Science (UMD)
PI, USC ISI
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