17 papers with code • 0 benchmarks • 0 datasets
These leaderboards are used to track progress in Artificial Life
We provide a framework for experimentation at https://mbuliga. github. io/quinegraphs/ic-vs-chem. html#icvschem with two artificial chemistries: directed interaction combinators (dirIC, defined in section 2) and chemlambda.
We demonstrate that, if an arbitrary "seed" pattern is put in a "soup" of separate individual particles, the pattern will replicate by assembling the individual particles into copies of itself.
While neuroevolution (evolving neural networks) has a successful track record across a variety of domains from reinforcement learning to artificial life, it is rarely applied to large, deep neural networks.
An explanatory model for the emergence of evolvable units must display emerging structures that (1) preserve themselves in time (2) self-reproduce and (3) tolerate a certain amount of variation when reproducing.
This paper proposes that open-ended evolution and artificial life have much to contribute towards the understanding of open-ended AI, focusing here in particular on the safety of open-ended search.
The understanding and acceptance of evolution by natural selection has become a difficult issue in many parts of the world, particularly the United States of America.
This paper introduces a POET-Inspired Neuroevolutionary System for KreativitY (PINSKY) in games, which co-generates levels for multiple video games and agents that play them.