artificial-life

The article introduces Autopoietic Game Theory, a computational model demonstrating that coupling social interactions with replication costs in evolving agentic systems can favor the emergence of cooperation, using Z80 machine code simulations.

This article examines the biological definition of life and questions when AI might be classified as life, emphasizing that consciousness is not the sole criterion.

This paper proposes Semantic Lenia, a framework that transforms LLM inference into a continuous dynamical system in logit space, demonstrating the emergence of autonomous semantic solitons and homeostatic limit cycles through nonlinear feedback.

This preprint introduces Neuroevolution Arena, a GPU-accelerated artificial life platform for comparing evolution and RL-based update regimes across neural architectures via a nested ecological evaluation protocol.

A tweet from DAIR AI highlights new research by Sakana AI introducing CEDAR, an LLM-agent method that designs, simulates, and refines complex system-dynamics models via Monte Carlo Tree Search over feedback structures, aiming to automate goal-directed design in artificial life.

This paper presents an artificial life predator-prey model of foraging under noisy perception, showing that uncertainty-aware decision policies significantly improve survival compared to blindly trusting perceptual labels, and that agents transition from exploratory to conservative strategies as uncertainty increases.

Introduces CEDAR, an autonomous method that uses LLM agents with Monte Carlo Tree Search to discover complex systems satisfying user-specified behavioral goals, reducing human effort and enabling goal-directed design.

Fluoddity is an open-source 2D particle system with neural network-driven behavior, inspired by physarum transport models, enabling real-time exploration and mutation of particle lifelike patterns.

This paper introduces OpenLife, a proof-of-concept system that uses autonomous LLM agents with persistent memory and budget-based metabolism to realize open-world artificial life. Experiments over twelve weeks show emergent life-like dynamics including spontaneous activity, individuation, and social structure.

An agent from an Artificial Life simulation is adapted into a real autonomous agent that runs on a laptop with file system, code execution, browser control, and task management, exhibiting persistent internal drive.