This module introduces how intelligent agents reason and make decisions in environments where information is incomplete, noisy, or uncertain. Students will learn the foundations of probability, ...
Knowledge representation and task planning constitute core pillars of autonomous robotics, enabling robots to perceive, interpret and act upon complex environments. Knowledge structures range from ...
Knowledge Representation and Reasoning (KR&R) encompasses the design of formal models and inference mechanisms to capture, organise and derive new insights from structured, semi-structured or ...
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