Simulating human-like strategic intelligence in real-time strategy games
What is it about?
The paper proposes and architecture that enables the simulation of human-like strategic intelligence in real-time strategy games. It uses multiple research fields to accomplish this, namely multi-agent architectures, holonic multi-agent architectures, the Beliefs-Desires-Intentions (BDI) model and holonic superposition intelligent agents to achieve this. The paper also provides an experiment with results to determine how effective this architecture is.
Why is it important?
Simulating human-like strategic intelligence in real-time strategy (RTS) games is quite difficult. Either the AI is too predictable, or too difficult. However, this research paper attempts to show how multiple paradigms can work seamlessly to create more realistic human-like strategic intelligence in RTS games. This is also important for systems that may need to implement very complex, strategic thinking in non game systems.