We investigate the case of belief-driven pathfinding (BDP) according to which characters hold a personalized account of a dynamic changing game-world. BDP is concerned with maintaining and revising a set of beliefs that persists over time as a character navigates to subsequent target destinations. This allows for a differentiation among characters with different observations in the game and can provide better believability. We present BGCA∗, a practical BDP approach that is based on (i) decomposing the map into regions, (ii) using personalized beliefs per character about the connectivity of regions, and (iii) employing a regular pathfinding component as a service. We evaluate BGCA∗ in terms of computational effort and precision wrt a regular solver over several benchmark maps. Our results motivate a simple belief revision strategy that induces small overhead and amortizes effort spent toward precision.
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|Titolo:||Belief-Driven Pathfinding through personalized map abstraction|
|Data di pubblicazione:||2014|
|Appartiene alla tipologia:||04b Atto di convegno in volume|