Innovative Method Unveils Daisy World Detection
Researchers at the University of Rochester are exploring the use of information theory to detect "daisy worlds," planets with self-regulating biospheres that maintain habitability. By extending the daisy world model through Semantic Information Theory, they aim to identify agnostic biosignatures—planetary patterns indicating life without relying on specific chemical markers. This approach could help differentiate life-supporting exoplanets by analyzing the information flow between biospheres and their environments, offering a new perspective on the Gaia Hypothesis.