Grades short = This is a grounding of a relational probabilistic model for prediccting grades. Copyright David Poole, 2012. This is relaeased under a creative commons Attribution-NonCommercial License. detailed = This can be used for the data for Poole and Mackworth, Artificial Intelligence: Foundations of Computational Agents, 2010, Slides, Chapter 14, Lecture3. Monitor the variables, and observe the data in the database. int(s3) T F position = (7329.4931640625, 5459.9443359375) int(s4) T F position = (7331.64697265625, 5535.337890625) int(s2) T F position = (7328.775390625, 5383.83251953125) int(s1) T F position = (7330.9287109375, 5299.1044921875) gr(s1,c1) A B C position = (7509.7197265625, 5309.6455078125) diff(c1) T F position = (7661.22509765625, 5312.02880859375) diff(c2) T F position = (7649.73681640625, 5378.80615234375) diff(c3) T F position = (7648.30078125, 5452.0458984375) diff(c4) T F position = (7645.4287109375, 5538.2099609375) gr(s2,c1) A B C position = (7514.02783203125, 5372.57275390625) gr(s1,c2) A B C position = (7512.591796875, 5434.09521484375) gr(s2,c3) A B C position = (7509.001953125, 5496.5634765625) gr(s3,c2) A B C position = (7505.41162109375, 5554.0068359375) gr(s4,c3) A B C position = (7502.53955078125, 5608.57763671875) gr(s3,c4) A B C position = (7490.33251953125, 5652.37744140625) gr(s4,c4) A B C position = (7503.2578125, 5696.8955078125) int(s3) 0.5 0.5 int(s4) 0.5 0.5 int(s2) 0.5 0.5 int(s1) 0.5 0.5 gr(s1,c1) int(s1) diff(c1) 0.5 0.4 0.1 0.9 0.09 0.01 0.01 0.09 0.9 0.1 0.4 0.5 diff(c1) 0.5 0.5 diff(c2) 0.5 0.5 diff(c3) 0.5 0.5 diff(c4) 0.5 0.5 gr(s2,c1) int(s2) diff(c1) 0.5 0.4 0.1 0.9 0.09 0.01 0.01 0.09 0.9 0.1 0.4 0.5 gr(s1,c2) int(s1) diff(c2) 0.5 0.4 0.1 0.9 0.09 0.01 0.01 0.09 0.9 0.1 0.4 0.5 gr(s2,c3) int(s2) diff(c3) 0.5 0.4 0.1 0.9 0.09 0.01 0.01 0.09 0.9 0.1 0.4 0.5 gr(s3,c2) int(s3) diff(c2) 0.5 0.4 0.1 0.9 0.09 0.01 0.01 0.09 0.9 0.1 0.4 0.5 gr(s4,c3) int(s4) diff(c3) 0.5 0.4 0.1 0.9 0.09 0.01 0.01 0.09 0.9 0.1 0.4 0.5 gr(s3,c4) int(s3) diff(c4) 0.5 0.4 0.1 0.9 0.09 0.01 0.01 0.09 0.9 0.1 0.4 0.5 gr(s4,c4) int(s4) diff(c4) 0.5 0.4 0.1 0.9 0.09 0.01 0.01 0.09 0.9 0.1 0.4 0.5