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Found 7 papers, 2 papers with code
Hybrid Life: Integrating Biological, Artificial, and Cognitive Systems
Artificial life is a research field studying what processes and properties define life, based on a multidisciplinary approach spanning the physical, natural and computational sciences.
Two Ways of Understanding Social Dynamics: Analyzing the Predictability of Emergence of Objects in Reddit r/place Dependent on Locality in Space and Time
Lately, studying social dynamics in interacting agents has been boosted by the power of computer models, which bring the richness of qualitative work, while offering the precision, transparency, extensiveness, and replicability of statistical and mathematical approaches.
CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders
This work presents CLIPDraw, an algorithm that synthesizes novel drawings based on natural language input.
Selecting for Selection: Learning To Balance Adaptive and Diversifying Pressures in Evolutionary Search
Inspired by natural evolution, evolutionary search algorithms have proven remarkably capable due to their dual abilities to radiantly explore through diverse populations and to converge to adaptive pressures.
Population-Based Evolution Optimizes a Meta-Learning Objective
Meta-learning models, or models that learn to learn, have been a long-desired target for their ability to quickly solve new tasks.
How to Make Swarms Open-Ended? Evolving Collective Intelligence Through a Constricted Exploration of Adjacent Possibles
We propose an approach of open-ended evolution via the simulation of swarm dynamics.
Permutation-equivariant neural networks applied to dynamics prediction
The introduction of convolutional layers greatly advanced the performance of neural networks on image tasks due to innately capturing a way of encoding and learning translation-invariant operations, matching one of the underlying symmetries of the image domain.
