Roguelike Game AI overview
Since I'm an AI engineer, and since I'm unemployed right now, and since I'm interested in roguelike games, I thought I'd write a series of articles on game AI for roguelikes as a contribution to the community.
Some of these techniques (Stateless AI's and State Machines in particular) are properly "pseudointelligence" rather than "artificial intelligence", because they don't involve any actual learning. But "AI" is how game designers refer to the decision-making code for their artificial antagonists, regardless of its actual status, so I'm going to use it.
The ground I plan to cover here includes roughly these articles; I may add an article or two to this or change the order of articles depending on what people are interested in reading.
- Stateless AI
- State Machine AI
- "Evolving" stateless AI's or state machine AI's
- Modeling the player
- Minimaxing in application to roguelike domains
- Neural Networks and training them with backprop
- "Evolving" neural networks.
- Recurrent Neural Networks (NN's with memory).
- Roguelike Intelligence - Stateless AIs
- Roguelike Intelligence - Intrinsic Information and State Machine AIs
- Roguelike Intelligence - Displaced Actions
- Roguelike Intelligence - Genetic Algorithms and Evolving State Machine AIs
- Roguelike Integlligence - Evolving State Machine AIs