Abstract
This defensive publication describes a method for integrating dual neural networks, specifically a Spiking Neural Network (SNN) and a Long Short-Term Memory (LSTM) model, into game engines using Python API and socket communication. This approach enhances AI capabilities in first-person shooter (FPS) games by enabling real-time, dynamic behaviors in non-player characters (NPCs). The document outlines the architecture, implementation, and potential applications of this method, providing valuable insights for researchers and developers in the field of game AI.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Gagnon, Renee, "Integration of Dual Neural Networks in Game Engines Using Python API and Socket Communication", Technical Disclosure Commons, (July 07, 2024)
https://www.tdcommons.org/dpubs_series/7167