Radically Simplifying Game Engines: AI Emotions Game Self-Evolution

摘要

Today, video games are a multi-billion-dollar industry, continuously evolving through the incorporation of new technologies and innovative design. However, current video game software content creation requires extensive and often-times ambiguous planning phases for developing aesthetics, online capabilities, and gameplay mechanics. Design elements can vary significantly relative to the expertise of artists, designers, budget, and overall game engine/software features and capabilities. Game development processes are often extensively long coding sessions, usually involving a highly iterative creative process, where user requirements are rarely provided. Therefore, we propose significantly simplifying game design and development with novel Artificial Cognition Architecture real-time scalability and dynamic emotion core. Rather than utilizing more static emotion state weighting emotion engines (e.g. ExAI), we leverage significant ACA research in successful implementation of analog neural learning bots with Maslowan objective function algorithms. We also leverage AI- based Artificial Psychology software which utilizes ACA’s fine grained self-evolving emotion modeling in humanistic avatar patients for Psychologist training. An ACA common cognitive core provides the gaming industry with wider applications across video game genres. A modular, scalable, and cognitive emotion game architecture implements Non-Playable Character (NPC) learning and self-evolution. ACA models NPC’s with fine grained emotions, providing interactive dynamic personality traits for a more realistic game environment and enables NPC self-evolution under the influence of both other NPC’s and players. Furthermore, we explore current video game design engine architecture (e.g. Unity, Unreal Engine) and propose an ACA integration approach. We apply artificial cognition and emotion intelligence modeling to engender video games with more distinct, realistic consumer gaming experiences, while simultaneously minimizing software gaming development efforts and costs.