Learning causation event conjunction sequences

arXiv:2402.14027v1 Announce Type: new
Abstract: 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 …

abstract artificial artificial neural networks arxiv causation cs.lg event events learn networks neural networks type