Goal Model

Goal models represent a crucial area of research aiming to understand and replicate how humans and agents set and achieve goals. Current research focuses on developing more robust and generalizable models, employing techniques like reward-producing programs, relational neural networks, and contextual bandit approaches, often within the context of robotics and AI planning. These advancements are improving the ability of AI systems to handle complex, dynamic environments and offer insights into human goal-directed behavior, with applications ranging from smart home technology for the elderly to more adaptable and efficient robots. Furthermore, explainable AI techniques are being integrated to enhance the transparency and interpretability of these models.