1 citations · 2 across the 5 of their papers we have counts for
6 papers
A speciation simulation that partly passes open-endedness tests
Théo de Pinho, Lana Sinapayen
One of the main goals of artificial life research is to recreate in artificial systems the trends for ever more complex and novel entities, interactions and processes that we see i…
An Agnostic Biosignature Based on Modeling Panspermia and Terraforming
Harrison B. Smith, Lana Sinapayen
The search for a second instance of life is one of the greatest problems of modern science. Outside of creating an artificial origin of life on Earth, the primary targets for the s…
Self-Replication, Spontaneous Mutations, and Exponential Genetic Drift in Neural Cellular Automata
Lana Sinapayen
This paper reports on patterns exhibiting self-replication with spontaneous, inheritable mutations and exponential genetic drift in Neural Cellular Automata. Despite the models not…
Motion Illusions Generated Using Predictive Neural Networks Also Fool Humans
Lana Sinapayen, Eiji Watanabe
Why do we sometimes perceive static images as if they were moving? Visual motion illusions enjoy a sustained popularity, yet there is no definitive answer to the question of why th…
Impact of GPU uncertainty on the training of predictive deep neural networks
Maciej Pietrowski, Andrzej Gajda, Takuto Yamamoto +3
[retracted] We found out that the difference was dependent on the Chainer library, and does not replicate with another library (pytorch) which indicates that the results are probab…
Perspective: Purposeful Failure in Artificial Life and Artificial Intelligence
Lana Sinapayen
Complex systems fail. I argue that failures can be a blueprint characterizing living organisms and biological intelligence, a control mechanism to increase complexity in evolutiona…