Semantic content generation, fractal landscape generation, i-systems for plants, organisms, and river systems are all techniques which may reward further work. Mark's particular interest is in semantic content generation in order to inform random generations and ensure that generated content is appropriate to the context.
He has a strong interest in game AI, particularly in planning, including the use of goal orientated action planning and hierarchical task networks. He is interested in modeling an AI entities mental model of the world with a view to simulating incomplete or erroneous world knowledge. He is also interested in modeling emotional states for AI in such a manner as to influence the AI's decision making. Mark is interested in improving both tactical and strategic decision making, as well as providing emotional context for game agents in order to provide a more interesting, immersive and challenging game environment.