Automating the Search for Artificial Life with Foundation Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kumar, Akarsh, Lu, Chris, Kirsch, Louis, Tang, Yujin, Stanley, Kenneth O., Isola, Phillip, Ha, David
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Digital Red Queen: Adversarial Program Evolution in Core War with LLMs
by: Kumar, Akarsh, et al.
Published: (2026)

Competition and Attraction Improve Model Fusion
by: Abrantes, João, et al.
Published: (2025)

Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models
by: Zhang, Rui, et al.
Published: (2024)

From Text to Life: On the Reciprocal Relationship between Artificial Life and Large Language Models
by: Nisioti, Eleni, et al.
Published: (2024)

JaxLife: An Open-Ended Agentic Simulator
by: Lu, Chris, et al.
Published: (2024)

Guiding Evolution of Artificial Life Using Vision-Language Models
by: Baid, Nikhil, et al.
Published: (2025)

Position: Leverage Foundational Models for Black-Box Optimization
by: Song, Xingyou, et al.
Published: (2024)

Evolution Transformer: In-Context Evolutionary Optimization
by: Lange, Robert Tjarko, et al.
Published: (2024)

Fitness Landscape of Large Language Model-Assisted Automated Algorithm Search
by: Liu, Fei, et al.
Published: (2025)

Life-inspired Interoceptive Artificial Intelligence for Autonomous and Adaptive Agents
by: Lee, Sungwoo, et al.
Published: (2023)

Life, uh, Finds a Way: Hyperadaptability by Behavioral Search
by: Baranski, Alex, et al.
Published: (2024)

Large Language Models As Evolution Strategies
by: Lange, Robert Tjarko, et al.
Published: (2024)

Artificial Intelligence Based Navigation in Quasi Structured Environment
by: Kumar, Hariram Sampath, et al.
Published: (2024)

General-Purpose In-Context Learning by Meta-Learning Transformers
by: Kirsch, Louis, et al.
Published: (2022)

Particle Swarm Optimization based on Novelty Search
by: Misra, Mr. Rajesh, et al.
Published: (2022)

Agent Skill Acquisition for Large Language Models via CycleQD
by: Kuroki, So, et al.
Published: (2024)

Evolution and Efficiency in Neural Architecture Search: Bridging the Gap Between Expert Design and Automated Optimization
by: Meng, Fanfei, et al.
Published: (2024)

Advanced Artificial Intelligence Strategy for Optimizing Urban Rail Network Design using Nature-Inspired Algorithms
by: Kumar, Hariram Sampath, et al.
Published: (2024)

In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models
by: Earle, Sam, et al.
Published: (2026)

Ecological Neural Architecture Search
by: Winter, Benjamin David, et al.
Published: (2025)

Spikingformer: A Key Foundation Model for Spiking Neural Networks
by: Zhou, Chenlin, et al.
Published: (2023)

Evaluating a Novel Neuroevolution and Neural Architecture Search System
by: Winter, Benjamin David, et al.
Published: (2025)

Deep Insights into Automated Optimization with Large Language Models and Evolutionary Algorithms
by: Yu, He, et al.
Published: (2024)

The Platonic Representation Hypothesis
by: Huh, Minyoung, et al.
Published: (2024)

Vector Policy Optimization: Training for Diversity Improves Test-Time Search
by: Bahlous-Boldi, Ryan, et al.
Published: (2026)

Evolutionary Optimization of Model Merging Recipes
by: Akiba, Takuya, et al.
Published: (2024)

LEVI: Stronger Search Architectures Can Substitute for Larger LLMs in Evolutionary Search
by: Tanveer, Temoor
Published: (2026)

An Introductory Review of Spiking Neural Network and Artificial Neural Network: From Biological Intelligence to Artificial Intelligence
by: Zheng, Shengjie, et al.
Published: (2022)

The Society of HiveMind: Multi-Agent Optimization of Foundation Model Swarms to Unlock the Potential of Collective Intelligence
by: Mamie, Noah, et al.
Published: (2025)

Dynamic Quality-Diversity Search
by: Gallotta, Roberto, et al.
Published: (2024)

Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis
by: Kumar, Akarsh, et al.
Published: (2025)

Pareto-Grid-Guided Large Language Models for Fast and High-Quality Heuristics Design in Multi-Objective Combinatorial Optimization
by: Ha, Minh Hieu, et al.
Published: (2025)

Evolutionary Context Search for Automated Skill Acquisition
by: Sun, Qi, et al.
Published: (2026)

Growing Artificial Neural Networks for Control: the Role of Neuronal Diversity
by: Nisioti, Eleni, et al.
Published: (2024)

Meta knowledge assisted Evolutionary Neural Architecture Search
by: Li, Yangyang, et al.
Published: (2025)

Evolutionary Neural Architecture Search with Dual Contrastive Learning
by: Zhang, Xian-Rong, et al.
Published: (2025)

Towards Self-constructive Artificial Intelligence: Algorithmic basis (Part I)
by: Corbacho, Fernando J.
Published: (2019)

Comparing Optimization Algorithms Through the Lens of Search Behavior Analysis
by: Cenikj, Gjorgjina, et al.
Published: (2025)

An Extended Jump Functions Benchmark for the Analysis of Randomized Search Heuristics
by: Bambury, Henry, et al.
Published: (2021)

Developmental Plasticity-inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks
by: Han, Bing, et al.
Published: (2022)