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Found 3 papers, 1 papers with code
Comparison of the Effects of Interaction with Intentional Agent and Artificial Intelligence using fNIRS
As societal interactions increasingly involve both intentional and unintentional agents, understanding their effects on human cognition becomes paramount.
VDHLA: Variable Depth Hybrid Learning Automaton and Its Application to Defense Against the Selfish Mining Attack in Bitcoin
In the proposed model, variable action set learning automaton can increase, decrease, or leave unchanged the depth of fixed structure learning automaton during the action switching phase.
Nik Defense: An Artificial Intelligence Based Defense Mechanism against Selfish Mining in Bitcoin
However, literature has shown that Bitcoin mining's protocol is not incentive-compatible.
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