Evolutionary Learning in the 2D Artificial Life System "Avida"

Caltech); Chris Adami; C. Titus Brown (Kellogg Radiation Laboratory

Evolutionary Learning in the 2D Artificial Life System "Avida"

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arxiv adap-org/9405003 v1 pith:EPXQCAB6 submitted 1994-05-16 adap-org nlin.AOq-bio

Chris Adami , C. Titus Brown (Kellogg Radiation Laboratory , Caltech) This is my paper

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We present a new tierra-inspired artificial life system with local interactions and two-dimensional geometry, based on an update mechanism akin to that of 2D cellular automata. We find that the spatial geometry is conducive to the development of diversity and thus improves adaptive capabilities. We also demonstrate the adaptive strength of the system by breeding cells with simple computational abilities, and study the dependence of this adaptability on mutation rate and population size.

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Flow-Lenia: Emergent evolutionary dynamics in mass conservative continuous cellular automata
nlin.CG 2025-06 conditional novelty 6.0 of 10

A mass-conserving extension of Lenia yields stable localized patterns, supports easy optimization of behaviors, and produces multispecies simulations with measurable evolutionary dynamics.

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