Automated design of agentic systems

S Hu, C Lu, J Clune - arXiv preprint arXiv:2408.08435, 2024 - arxiv.org
Researchers are investing substantial effort in developing powerful general-purpose agents,
wherein Foundation Models are used as modules within agentic systems (eg Chain-of …

A systematic survey on large language models for algorithm design

F Liu, Y Yao, P Guo, Z Yang, Z Zhao, X Lin… - arXiv preprint arXiv …, 2024 - arxiv.org
Algorithm Design (AD) is crucial for effective problem-solving across various domains. The
advent of Large Language Models (LLMs) has notably enhanced the automation and …

Automating the Search for Artificial Life with Foundation Models

A Kumar, C Lu, L Kirsch, Y Tang, KO Stanley… - arXiv preprint arXiv …, 2024 - arxiv.org
With the recent Nobel Prize awarded for radical advances in protein discovery, foundation
models (FMs) for exploring large combinatorial spaces promise to revolutionize many …

Evolution and The Knightian Blindspot of Machine Learning

J Lehman, E Meyerson, T El-Gaaly, KO Stanley… - arXiv preprint arXiv …, 2025 - arxiv.org
This paper claims that machine learning (ML) largely overlooks an important facet of general
intelligence: robustness to a qualitatively unknown future in an open world. Such robustness …

Automating Traffic Model Enhancement with AI Research Agent

X Guo, X Yang, M Peng, H Lu, M Zhu… - arXiv preprint arXiv …, 2024 - arxiv.org
Developing efficient traffic models is essential for optimizing transportation systems, yet
current approaches remain time-intensive and susceptible to human errors due to their …

DreamGarden: A Designer Assistant for Growing Games from a Single Prompt

S Earle, S Parajuli, A Banburski-Fahey - arXiv preprint arXiv:2410.01791, 2024 - arxiv.org
Coding assistants are increasingly leveraged in game design, both generating code and
making high-level plans. To what degree can these tools align with developer workflows …

Beyond Benchmarking: Automated Capability Discovery via Model Self-Exploration

C Lu, S Hu, J Clune - Language Gamification-NeurIPS 2024 Workshop - openreview.net
Large language and foundation models have become ubiquitous as general-purpose
assistants, exhibiting diverse capabilities across a wide variety of domains through training …

[HTML][HTML] Follow, research and publish the best content

M Hutson - scoop.it
Human know-how derives in part from our nose for novelty—we're curious creatures,
whether looking around corners or testing scientific hypotheses. For artificial intelligence to …