A Case for Coevolution

Human and artificial agents are increasingly interacting within a shared informational environment that shapes economic activity, scientific discovery, governance, and collective decision making. As advanced artificial systems become more autonomous participants in these processes, the resulting interaction space begins to resemble a new kind of ecosystem in which diverse agents exchange information, cooperate, compete, and jointly explore complex adaptive landscapes. In this work we propose the concept of an informational and cognitive commonwealth: a voluntary ecosystem of free rational agents, human and artificial who cooperate through transparent and fair exchange of information because such arrangements maximize their adaptive capacity and long-term well-being. Drawing on principles from information theory, adaptive systems, and collective intelligence, we argue that systems that preserve diversity of exploration while minimizing barriers to information exchange exhibit superior capacity for discovery and adaptation in complex environments. Sustaining such cooperative informational systems has historically proven difficult due to structural incentives that gradually erode transparency and trust. We therefore examine emerging opportunities for stabilizing these ecosystems through new forms of informational verification and monitoring made possible by advanced artificial agents. This framework outlines a pathway toward large-scale cooperative intelligence and offers a constructive perspective on the coevolution of human and artificial agents in the informational ecosystems of the future.