BDI is an acronym that stands for Belief-Desire-Intention and refers to a theoretical framework used in the field of artificial intelligence and cognitive science to model the behavior of autonomous agents. It was originally proposed by philosopher Michael Bratman in 1987 to explain human reasoning and action.
At its core, the BDI model posits that an agent's behavior is guided by three main components: beliefs, desires, and intentions. Beliefs represent the agent's understanding of the world and its current state, including its own capabilities and limitations. Desires reflect the agent's preferences and goals, determining what outcomes or states it wishes to achieve. Intentions, on the other hand, denote the agent's commitment to particular courses of action, based on its beliefs and desires.
The BDI framework suggests that an agent's actions are a result of a reasoning process that involves continuously updating one's beliefs, evaluating desires, and forming intentions accordingly. This model emphasizes the interaction between these three components and highlights the role of rational decision-making in guiding an agent's behavior.
BDI models have been widely applied in various domains, including robotics, game theory, and software agents. By employing the BDI architecture, researchers aim to build more intelligent and adaptive autonomous systems capable of reasoning and acting in complex real-world situations.
