22 papers with code • 0 benchmarks • 0 datasets
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Lenia - Biology of Artificial Life
We report a new system of artificial life called Lenia (from Latin lenis "smooth"), a two-dimensional cellular automaton with continuous space-time-state and generalized local rule.
Artificial life properties of directed interaction combinators vs. chemlambda
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.
Self-Replicating Machines in Continuous Space with Virtual Physics
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.
Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients
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.
Evolving Structures in Complex Systems
In this paper we propose an approach for measuring growth of complexity of emerging patterns in complex systems such as cellular automata.
Combinatory Chemistry: Towards a Simple Model of Emergent Evolution
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.
Lenia and Expanded Universe
We report experimental extensions of Lenia, a continuous cellular automata family capable of producing lifelike self-organizing autonomous patterns.
Open Questions in Creating Safe Open-ended AI: Tensions Between Control and Creativity
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.
Artificial Life in Game Mods for Intuitive Evolution Education
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.
Co-generation of game levels and game-playing agents
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.