4 citations · 6 across the 4 of their papers we have counts for
4 papers
Learning causation event conjunction sequences
Thomas E. Portegys
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…
Dynamically handling task disruptions by composing together behavior modules
Thomas E. Portegys
Biological neural networks operate in the presence of task disruptions as they guide organisms toward goals. A familiar stream of stimulus-response causations can be disrupted by s…
A modularity comparison of Long Short-Term Memory and Morphognosis neural networks
Thomas E. Portegys
This study compares the modularity performance of two artificial neural network architectures: a Long Short-Term Memory (LSTM) recurrent network, and Morphognosis, a neural network…
Training artificial neural networks to learn a nondeterministic game
Thomas E. Portegys
It is well known that artificial neural networks (ANNs) can learn deterministic automata. Learning nondeterministic automata is another matter. This is important because much of th…