## Computers and Graph Theory: Representing Knowledge for Processing by Computers |

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### Contents

PREFACE | 7 |

SOLVING PUZZLES | 30 |

NETWORKS AND DYNAMIC PROGRAMMING | 48 |

Copyright | |

4 other sections not shown

### Common terms and phrases

Answer applications bb and cc BEST CLAUSE bestnew binary tree boat called cannibals chapter choice choose city_finish city_l concept conditional probability connected decision dest destination diagram direct arcs directed graph dynamic programming economy elements event example expected value finding a path finding the shortest forecast goal graph theory head hold steady immediate successor invoke the program knapsack problem knowledge base lead length let us look list the nodes match missionaries node_3 one4 one5 one6 one7 outcome path from bb payoff predecessor predicate prior probabilities PROGRAMMING LANGUAGES Prolog Prolog system question rain on Saturday rain on Sunday recursive clause relationships result rooted tree rule rules of inference sequence shortest distance shortest path shortest route problem Similarly SMALLEST CLAUSE solution solving starting subtree Table for stage tail transition network true two3 unique path units of capacity units of item