In classical AI automated planning, what does the acronym 'STRIPS' stand for?
STRIPS stands for 'Stanford Research Institute Problem Solver', developed in 1971 by Richard Fikes and Nils Nilsson. None of the listed options give the correct expansion.
Who developed the 'Perceptron' learning machine at Cornell Aeronautical Laboratory in 1957?
Frank Rosenblatt developed the Perceptron in 1957 at Cornell Aeronautical Laboratory. Minsky and Papert wrote the critical 1969 book, and Hebb proposed Hebbian learning in 1949.
What is the difference between 'Object Detection' and 'Semantic Segmentation'?
Object detection localizes objects using bounding boxes (x, y, w, h), whereas semantic segmentation generates dense pixel-level class masks without distinguishing separate instances of the same class.
Under what condition is Breadth-First Search (BFS) guaranteed to be optimal?
BFS expands the shallowest goal. If all actions have equal cost (e.g., 1), the shallowest goal has the lowest total cost.
What is the 'Qualification Problem' in classical AI planning and knowledge representation?
The qualification problem highlights that in real physical domains, one can never state all trivial conditions necessary for an action to succeed without failure.