Chapter 4 Knowledge Representation continue 323 670 Artificial

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Chapter 4 Knowledge Representation (continue( 323 -670 Artificial Intelligence ��. ����������

Chapter 4 Knowledge Representation (continue( 323 -670 Artificial Intelligence ��. ����������

Property Inheritance 323 -670 Artificial Intelligence Lecture 14 Page 2

Property Inheritance 323 -670 Artificial Intelligence Lecture 14 Page 2

Frame ØBaseball-Player isa : Adult-Male bats: (EQUAL handed) height: 6 -1 batting-average: . 252

Frame ØBaseball-Player isa : Adult-Male bats: (EQUAL handed) height: 6 -1 batting-average: . 252 figure 4. 7 Inferential Knowledge figure 4. 7 323 -670 Artificial Intelligence Lecture 14 Page 3

Procedural Knowledge as Rules similar to figure 4. 7 323 -670 Artificial Intelligence Lecture

Procedural Knowledge as Rules similar to figure 4. 7 323 -670 Artificial Intelligence Lecture 14 Page 4

Redundant Representation John punched Mary punched John 323 -670 Artificial Intelligence Lecture 14 Page

Redundant Representation John punched Mary punched John 323 -670 Artificial Intelligence Lecture 14 Page 5

Similarity Net liking among set of frame 323 -670 Artificial Intelligence Lecture 14 Page

Similarity Net liking among set of frame 323 -670 Artificial Intelligence Lecture 14 Page 6

Knowledge Representation Øimportant attribute : isa and instance Ørelationship among attributes Øat what level

Knowledge Representation Øimportant attribute : isa and instance Ørelationship among attributes Øat what level of detail should the world be represented? ØMary is Sue’s cousin. ������� �� ØMary = daughter(brother(mother(Sue))) ØMary = daughter(sister(mother(Sue))) ØMary = daughter(brother(father(Sue))) ØMary = daughter(sister(father(Sue))) ØMary = daughter(sibling(parent(Sue))) 323 -670 Artificial Intelligence Lecture 14 Page 7

Knowledge Representation ØJohn broke the window ØSequence ? . . . pick up hard

Knowledge Representation ØJohn broke the window ØSequence ? . . . pick up hard object , Hurl the object to the window ØCause hand / foot to move fast and crash into the window ØShut the window so hard that the glass breaks ØFinding the right structure ØJohn went to Sizzer last night. He ordered a large rare steak, paid his bill, and left. ØDid john eat dinner last night? ØJohn flew to New York. ØJohn flew a kite. ØJohn flew down the street. 323 -670 Artificial Intelligence Lecture 14 Page 8

Frame Problem ü on(plan 12, table 34), under(table 34, window 13), and in(table 34,

Frame Problem ü on(plan 12, table 34), under(table 34, window 13), and in(table 34, room 15) : the facts may change ü run out of memory : when description is very long üabove(ceiling, floor) : this fact never change 323 -670 Artificial Intelligence Lecture 14 Page 9

End Chapter 4 Will Rogers 323 -670 Artificial Intelligence Lecture 14 Page 10

End Chapter 4 Will Rogers 323 -670 Artificial Intelligence Lecture 14 Page 10