Agent-Based Modelling of Human and Alien Conflict Dynamics in A Multi-Species Simulation Framework

Abstract

This paper explores the use of agent-based modeling (ABM) to understand conflicts between humans and aliens in a multi-species simulation. The model seeks to model behavioral interactions within a shared-space setting consisting of agents with goal-directed species-default behaviors. Human agents are resource-oriented, acquisitive, and defensive, whereas alien agents are extravagant and adaptable. Competition over territory, communication, and adaptive learning is integrated into the simulation, and the goal is to achieve emergent results under different conditions of the Environment and the society. This study employs conflict and cooperation contexts to explain how a simple local situation can yield either long-term conflict, long-term negotiation, or long-term coexistence. The framework is implemented in a spatial grid-based simulation, which allows illustrating the agents' motion, their interactions, and their strategy changes over time. The critical parameters, including resource and aggression levels and the communication spectrum, are manipulated to assess conflict-resolution processes. The paper contributes to the research on interspecies relations, complex adaptive systems, and the evolution of behavior in simulated societies. It provides a foundation for future theoretical and applied simulations aimed at investigating conflict, diplomacy, and relations with non-Earth units.

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