Applications of Neural-Based Agents in Computer Game Design
Joseph Qualls, David J. Ma · Evolutionary Computation · 2009
It is clear from the implementation and analysis of the performance of the game Defend and Gather and the many other examples discussed in this chapter that neural-based agents have the ability to overcome some of the shortcomings associated with implementing classical AI techniques in computer game design. Neural networks can be used in many diverse ways in computer games ranging from agent control, environmental evolution, to content generation. As outlined in Section 3 of this chapter, by following the neural network development process, adding a neural network to a computer game can be a very rewarding process. Neural networks have proven themselves viable for agent design, but there are still many unexplored avenues that could prove to benefit from neural networks in computer games. The area of content generation has only briefly been discussed in recent research. The potential is that neural networks could generate entire worlds or even entire computer games based on human players' preferences. Neural networks have great potential for designing computer games and technology that will entertain players in terms of newly generated content and increasing challenge as the players learn the game.