Socio-Technical Conflict and Adaptive Governance: Applying Agent-Based Modelling to Inter-Civilizational and Environmental Scenarios

The paper is a thorough examination of socio-technical conflict and adaptive governance using agent-based modelling (ABM) that combines the computational simulation with the theory of systems and inter-civilizational literature. The research is inspired by the human-alien conflict analogy and uses analytical frameworks of heterogeneous agentsGEs of technologically and culturally distinct communities to support the impact of the combination of trust, information asymmetry, and adaptive policy patterns on the stability of the system and collaborative strengths. All emergent processes, including the formation of alliances, the process of policy adjustment, and conflict intensification, can be quantitatively studied in the proposed ABM framework where interactions vary in transparency, fidelity in communication, and flexibility on governance. Findings indicate that open information-exchange and evolving feedback systems are very effective in promoting trust and low entropy systemic states, which is typically achieved at equilibrium even in highly uncertain circumstances. On the other hand, there is cyclical instability and a possible breakdown of systems that are characterised by information opacy and stasis governance. The results highlight the importance of the structure of adaptive governance that is based on iterative learning, distributed decision-making, and real-time policy development that is vital to balance both in inter-civilizational and socio-ecological spheres. In addition to the astrobiological analogy, this research offers a conceptual and computational context on the reconsideration of governance in an epoch of mounting technological destabilization, environmental delicacy and world interdependence. The study provides a transdisciplinary template of designing next generations of governance systems that can sustain cooperation, reduce conflict, as well as create systemic stability across technological, ecological, and cultural boundaries because it reveals that the issue of resilience is not based on control, but rather on adaptatory coherence of agents.