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비아그라 구입방법 카톡:DDF11 & DDF11.KR 비아그라 100mg구매,비아그라 인터넷구매,비아그라 인터넷정품구매,비아그라 인터넷정품...
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시알리스 구입방법 카톡:DDF11 & DDF11.KR 시알리스 구합니다,시알리스 50mg구입처,시알리스 20mg정품구입처,시알리스 50mg...
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1.
George F Luger ARTIFICIAL
INTELLIGENCE 6th edition Structures and Strategies for Complex Problem Solving Automated Reasoning Luger: Artificial Intelligence, 6th edition. © Pearson Education Limited, 2009 14.0 Introduction to Weak Methods in Theorem Proving 14.1 The General Problem Solver and Difference Tables 14.2 Resolution Theorem Proving 14.3 PROLOG and Automated Reasoning 14.4 Further Issues in Automated Reasoning 14.5 Epilogue and References 14.6 Exercises 1
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Fig 14.1a Transformation
rules for logic problems, from Newell and Simon (1961). Luger: Artificial Intelligence, 6th edition. © Pearson Education Limited, 2009 2
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Fig 14.1b A
proof of a theorem in propositional calculus, from Newell and Simon (1961). Luger: Artificial Intelligence, 6th edition. © Pearson Education Limited, 2009 3
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Fig 14.2 Flow
chart and difference reduction table for the General Problem Solver, from Newell and Simon (1963b). Luger: Artificial Intelligence, 6th edition. © Pearson Education Limited, 2009 4
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Resolution refutation proofs
involve the following steps: Luger: Artificial Intelligence, 6th edition. © Pearson Education Limited, 2009 5
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Fig 14.3 Resolution
proof for the “dead dog” problem. Luger: Artificial Intelligence, 6th edition. © Pearson Education Limited, 2009 6
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Fig 14.4 One
resolution proof for an example from the propositional calculus. Luger: Artificial Intelligence, 6th edition. © Pearson Education Limited, 2009 7
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Luger: Artificial Intelligence,
6th edition. © Pearson Education Limited, 2009 8
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Luger: Artificial Intelligence,
6th edition. © Pearson Education Limited, 2009 9
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Fig 14.5 One
refutation for the “happy student” problem. Luger: Artificial Intelligence, 6th edition. © Pearson Education Limited, 2009 10
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Fig 14.6 Resolution
proof for the “exciting life” problem. Luger: Artificial Intelligence, 6th edition. © Pearson Education Limited, 2009 11
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Fig 14.7 another
resolution refutation for the example of Fig 14.6. Luger: Artificial Intelligence, 6th edition. © Pearson Education Limited, 2009 12
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Fig 14.8 Complete
state space for the “exciting life” problem generated by breadth-first search (to two levels). Luger: Artificial Intelligence, 6th edition. © Pearson Education Limited, 2009 14
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Fig 14.9 Using
the unit preference strategy on the “exciting life” problem. Luger: Artificial Intelligence, 6th edition. © Pearson Education Limited, 2009 14
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Fig 14.10 Unification
substitutions of Fig 14.6 applied to the original query. Luger: Artificial Intelligence, 6th edition. © Pearson Education Limited, 2009 15
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Fig 14.11 Answer
extraction process on the “finding fido” problem. Luger: Artificial Intelligence, 6th edition. © Pearson Education Limited, 2009 16
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Fig 14.12 Skolemization
as part of the answer extraction process. Luger: Artificial Intelligence, 6th edition. © Pearson Education Limited, 2009 17
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Fig 14.13 Data-driven
reasoning with n and/or graph in the propositional calculus Luger: Artificial Intelligence, 6th edition. © Pearson Education Limited, 2009 18
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Fig 14.14 Goal-driven
reasoning with an and/or graph in the propositional calculus. Luger: Artificial Intelligence, 6th edition. © Pearson Education Limited, 2009 19
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Luger: Artificial Intelligence,
6th edition. © Pearson Education Limited, 2009 20
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