Creating autonomous adaptive agents in a real-time first-person shooter computer game

• Main Authors: WANG, Di, TAN, Ah-hwee
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: Reinforcement learning; real-time computer game; Unreal Tournament; Adaptive Resonance Theory operations; temporal difference learning; Artificial Intelligence and Robotics; Computer Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/5212; https://ink.library.smu.edu.sg/context/sis_research/article/6215/viewcontent/Creating_Autonomous_Adaptive_Agents___TCIAIG_2014.pdf
• Institution: Singapore Management University

Games are good test-beds to evaluate AI methodologies. In recent years, there has been a vast amount of research dealing with real-time computer games other than the traditional board games or card games. This paper illustrates how we create agents by employing FALCON, a self-organizing neural netwo...