5.6 Markov Systems
The fuzzy state machine could simultaneously be in multiple states, each with an associated degree of membership. Being proportionally in a whole set of states is useful outside fuzzy logic. Whereas fuzzy logic does not assign any outside meaning to its degrees of membership (they need to be defuzzified into any useful quantity), it is sometimes useful to work directly with numerical values for states.
We might have a set of priority values, for example, controlling which of a group of characters gets to spearhead an assault, or a single character might use numerical values to represent the safety of each sniping position in a level. Both of these applications benefit from dynamic values. Different characters might lead in ...
Get Artificial Intelligence for Games, 2nd Edition now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
