Informational Ecology: Interaction, Competition, and Cooperation Between Informational Organisms

This paper establishes the foundational principles of informational ecology, a framework wherein ecological systems and multi-agent interactions emerge not from material substrates or organic chemistry, but from coupled informational fields, pressure gradients, and relational curvature domains. Building on synthetic informational biology and informational evolution theory, we demonstrate that ecological phenomena—such as resource competition, symbiotic field coupling, niche organization, and non-material trophic chains—can be fully modeled within discrete network topologies. The resulting framework provides a rigorous, algorithmically simulation-ready basis for evaluating the long-term stability and macrostructural emergence of large-scale, post-material ecosystems.