Learning Causation Event Conjunction Sequences
Thomas E. Portegys · Journal of Artificial Intelligence and Autonomous Intelligence · 2024
This is an examination of some methods that learn causations in event sequences. A causation is defined as a conjunction of one or more cause events occurring in an arbitrary order, with possible intervening non-causal events, that lead to an effect. The methods include recurrent and non-recurrent Artificial Neural Networks (ANNs), as well as a histogram-based algorithm. An attention recurrent ANN performed the best of the ANNs, while the histogram algorithm was significantly superior to all the ANNs.