68 citations · 489 across the 32 of their papers we have counts for
32 papers
Evolutionary rates of information gain and decay in fluctuating environments
Nicholas Guttenberg
In this paper, we wish to investigate the dynamics of information transfer in evolutionary dynamics. We use information theoretic tools to track how much information an evolving po…
Bootstrapping of memetic from genetic evolution via inter-agent selection pressures
Nicholas Guttenberg, Marek Rosa
We create an artificial system of agents (attention-based neural networks) which selectively exchange messages with each-other in order to study the emergence of memetic evolution…
Earth-Like: An education & outreach tool for exploring the diversity of planets like our own
Elizabeth J. Tasker, Kana Ishimaru, Nicholas Guttenberg +1
Earth-Like is an interactive website and twitter bot that allows users to explore changes in the average global surface temperature of an Earth-like planet due to variations in the…
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication)
Marek Rosa, Olga Afanasjeva, Simon Andersson +6
In this work, we propose a novel memory-based multi-agent meta-learning architecture and learning procedure that allows for learning of a shared communication policy that enables t…
Estimating Planetary Mass with Deep Learning
Elizabeth J. Tasker, Matthieu Laneuville, Nicholas Guttenberg
While thousands of exoplanets have been confirmed, the known properties about individual discoveries remain sparse and depend on detection technique. To utilize more than a small s…
Deep learning on butterfly phenotypes tests evolution's oldest mathematical model
Jennifer F. Hoyal Cuthill, Nicholas Guttenberg, Sophie Ledger +2
Traditional anatomical analyses captured only a fraction of real phenomic information. Here, we apply deep learning to quantify total phenotypic similarity across 2468 butterfly ph…