Failure recovery mechanism for BDI agents based on abilities and discovery protocols

An ambient agent may fail to achieve its goal due to the dynamism and nondeterminism of the environment. Based on the concepts of Abilities and Discovery Protocols, we present a context aware failure recovery mechanism for Belief-desire-intention agents. Using a based STRIPS Planner, our approach recovers the failed plan by repairing or replacing faulty actions. Compared to existing works generates the recovery plans dynamically at runtime according to the current context. Indeed, agent abilities are generated and maintained dynamically. To our acknowledge, this is the first time that a dynamic set of abilities has been used in failure recovery.