synthetic-intelligence
Synthetic intelligence refers to genuinely intelligent computational systems—rather than mere simulations of thought—capable of learning, reasoning, and adapting to solve complex problems. In plant science, such systems can analyze vast datasets from genomics, imaging, and environmental sensors to identify patterns in growth, stress responses, and disease that would be difficult for humans to detect. This enables researchers to model plant behavior more accurately and accelerate discoveries in areas like crop resilience and breeding strategies.
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.