paper-with-me

홈 › Papers

What doesn't kill Gaia makes her stronger

2024-05-08 · Rudy Arthur, Arwen E. Nicholson, Nathan J. Mayne

Life on Earth has experienced numerous upheavals over its approximately 4 billion year history. In previous work we have discussed how interruptions to stability lead, on average, to increases in habitability over time, a tendency we called Entropic Gaia. Here we continue this exploration, working with the Tangled Nature Model of co-evolution, to understand how the evolutionary history of life is shaped by periods of acute environmental stress. We find that while these periods of stress pose a risk of complete extinction, they also create opportunities for evolutionary exploration which would otherwise be impossible, leading to more populous and stable states among the survivors than in alternative histories without a stress period. We also study how the duration, repetition and number of refugia into which life escapes during the perturbation affects the final outcome. The model results are discussed in relation to both Earth history and the search for alien life.

📄 PDF Abstract BibTeX arXiv:2405.05091

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

CADMAS-CTX: Contextual Capability Calibration for Multi-Agent Delegation

2026-04-20 · Chuhan Qiao arxiv

We revisit multi-agent delegation under a stronger and more realistic assumption: an agent's capability is not fixed at the skill level, but depends on task context. A coding agent may excel at short standalone edits yet…

HyperSkill: Self-Evolving LLM Agents via Hypergraph-Structured Skill Memory

2026-08-17 · Ruiyao Xu, Tiankai Yang, Wei-Chieh Huang arxiv

As agentic tasks grow in complexity, LLM agents increasingly rely on experiential memory to reuse procedural knowledge across tasks. Effective memory design must jointly address what to store, how memory is structured an…

GAIA: a benchmark for General AI Assistants

2023-11-21 · Grégoire Mialon, Clémentine Fourrier, Craig Swift, Thomas Wolf 외

We introduce GAIA, a benchmark for General AI Assistants that, if solved, would represent a milestone in AI research. GAIA proposes real-world questions that require a set of fundamental abilities such as reasoning, mult…

Philosophy

What Doesn't Kill You Makes You Robust(er): How to Adversarially Train against Data Poisoning

2021-02-26 · Jonas Geiping, Liam Fowl, Gowthami Somepalli, Micah Goldblum 외

Data poisoning is a threat model in which a malicious actor tampers with training data to manipulate outcomes at inference time. A variety of defenses against this threat model have been proposed, but each suffers from a…

Data Poisoning

Parameters for > 300 million Gaia stars: Bayesian inference vs. machine learning

2023-02-14 · F. Anders, A. Khalatyan, A. B. A. Queiroz, S. Nepal 외

The Gaia Data Release 3 (DR3), published in June 2022, delivers a diverse set of astrometric, photometric, and spectroscopic measurements for more than a billion stars. The wealth and complexity of the data makes traditi…

Bayesian Inference