Análise da viabilidade de automação em jogos Web3: um estudo experimental utilizando IA e virtualização Linux para geração de ativos digitais.

Abstract

This work analyzes the feasibility of automation in games based on Web3 technology, using Artificial Intelligence tools and virtualized environments in Linux systems for the generation of digital assets. The main objective is to evaluate how the integration of automated scripts and AI models can optimize resource collection in play-to-earn game ecosystems, transforming execution time into digital financial value. The methodology consisted of configuring an Ubuntu virtual machine, where automation agents were implemented to interact with the Molty Royale game interface, simulating human behavior and bypassing basic detection mechanisms. The results demonstrated superior efficiency in performing repetitive tasks, allowing the simultaneous management of multiple game instances with low hardware resource consumption. It is concluded that virtualization combined with AI represents a powerful tool for the digital economy, although it faces constant challenges related to security and updates of gaming platforms.