Goal Recognition in Incomplete Domain Models
Ramon Fraga Pereira, Felipe Rech Meneguzzi · Proceedings of the AAAI Conference on Artificial Intelligence · 2018
Recent approaches to goal recognition have progressively relaxed the assumptions about the amount and correctness of domain knowledge and available observations, yielding accurate and efficient algorithms. These approaches, however, assume completeness and correctness of the domain theory against which their algorithms match observations: this is too strong for most real-world domains. In this work, we develop a goal recognition technique capable of recognizing goals using incomplete (and possibly incorrect) domain theories.