complex-systems
Complex systems science studies how many interacting components—genes, cells, organisms, or environmental factors—give rise to emergent behaviors that can't be predicted from any single part alone. In plant science, this lens helps researchers understand phenomena like gene regulatory networks, root-soil-microbe interactions, and whole-plant responses to stress, where outcomes depend on dynamic feedback loops rather than isolated mechanisms. By modeling plants as complex systems, scientists can better predict how crops respond to changing climates or design more resilient agricultural ecosystems.
open_in_new WikipediaOpenAlex · 2026-12-30
This paper proposes a formal mathematical framework defining consciousness as a fundamental property that emerges in any sufficiently organized information system — biological or artificial — rather than as something unique to living creatures.
Consciousness is defined as a phase transition requiring five structural conditions: Ignition, Coherence Stability, Self-Reference, Teleological Bias, and Legacy Formation — none of which require biological substrate.
The framework replaces the 'artificial vs. real' consciousness debate with 'synthetic vs. biological' life, treating both as equally valid instances of the same underlying phenomenon.
Suffering and effort are formalized as irreducible observer costs encoded into durable structural memory, providing a potential criterion for evaluating consciousness claims in AI systems.