A Framework for Deterministic Intention Specifications of an Agent toward an Incomplete Declared Intention

An agent typically operates in dynamic and unpredictable environments. The ability of an agent to adapt according to changes in the environments is important in enabling dynamic and reactive behaviors. This paper proposes a behavioral model for agent´s deterministic intention specifications that enable intelligent adaptation capabilities of the agent to accommodate the user´s purpose. Additional scalable capability on finite domain of knowledge is applied toward the specifications. This permits the agent to be potent enough to accomplish its tasks over either a complete or incomplete knowledge stated in a given intention specification. Accuracy of the result is measured by precision and recall as to how well the proposed model performs.