Trajectory Generation via Abductive Inference

Learn about geospatial trajectory generation through efficient abduction in this 10-minute conference talk presented by ASU Ph.D. student Divyagna Bavikadi at ICLP 2024. Explore cutting-edge research at the intersection of symbolic methods and deep learning, focusing on how abductive inference can be applied to generate realistic movement patterns. Delve into the innovative approach detailed in the accompanying research paper that combines logic programming principles with modern AI techniques. Gain insights into this emerging area of artificial intelligence that bridges traditional symbolic reasoning with contemporary machine learning methods, contributing to advancements in artificial general intelligence (AGI).