Hereditary Heuristic Convergence: Transgenerational Biological Stability in Martian Environments (610 Pa)

This dataset contains the primary telemetry and configuration files validating the application of the Korvas Heuristic Framework to complex biological agents in simulated extreme environments. The study focuses on maintaining homeostatic integrity under non-terrestrial atmospheric conditions (610.0 Pa, 95% CO2) without traditional life-support infrastructure. Data Records: family_time_series.csv: Contains macro-level stability metrics over 20,000 seconds, including population dynamics, average durability (mean: 0.999), and entropy surplus convergence. family_agents.csv: Provides individual agent logs, documenting the successful transition from G0 (initial agents) to G1 and G2 (offspring), validating hereditary heuristic transfer. metadata.json: Defines the environmental physics and heuristic constraints used to achieve the reported convergence. Core Findings: The results demonstrate that biological decay can be mitigated by treating the organism as a closed-loop information system. The Korvas Engine achieved a continuous stability rate of 99.8%, allowing for metabolic surplus sufficient for procreation in a simulated Martian vacuum. This dataset serves as a benchmark for autonomous biological governance and non-terrestrial colonization logic.