## Logical and Computational Aspects of Model-Based ReasoningL. Magnani, Nancy Nersessian, Claudio Pizzi Information technology has been, in recent years, under increasing commercial pressure to provide devices and systems which help/ replace the human in his daily activity. This pressure requires the use of logic as the underlying foundational workhorse of the area. New logics were developed as the need arose and new foci and balance has evolved within logic itself. One aspect of these new trends in logic is the rising impor tance of model based reasoning. Logics have become more and more tailored to applications and their reasoning has become more and more application dependent. In fact, some years ago, I myself coined the phrase "direct deductive reasoning in application areas", advocating the methodology of model-based reasoning in the strongest possible terms. Certainly my discipline of Labelled Deductive Systems allows to bring "pieces" of the application areas as "labels" into the logic. I therefore heartily welcome this important book to Volume 25 of the Applied Logic Series and see it as an important contribution in our overall coverage of applied logic. |

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### Contents

II | 3 |

III | 4 |

IV | 6 |

V | 9 |

VI | 10 |

VII | 16 |

VIII | 21 |

X | 22 |

LX | 163 |

LXII | 165 |

LXIII | 168 |

LXIV | 173 |

LXV | 181 |

LXVII | 182 |

LXVIII | 184 |

LXIX | 191 |

XI | 24 |

XII | 27 |

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XIV | 35 |

XV | 39 |

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XVIII | 44 |

XIX | 47 |

XX | 48 |

XXI | 50 |

XXII | 56 |

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XXIV | 62 |

XXV | 69 |

XXVI | 73 |

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XXIX | 80 |

XXX | 82 |

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XXXIII | 93 |

XXXV | 96 |

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XXXVII | 105 |

XXXVIII | 111 |

XXXIX | 113 |

XL | 114 |

XLI | 117 |

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XLIV | 122 |

XLV | 124 |

XLVI | 127 |

XLVII | 129 |

XLVIII | 130 |

XLIX | 133 |

L | 134 |

LI | 137 |

LII | 139 |

LIII | 143 |

LV | 146 |

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LVII | 154 |

LVIII | 158 |

LIX | 160 |

LXX | 201 |

LXXII | 202 |

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LXXIV | 211 |

LXXV | 219 |

LXXVI | 221 |

LXXVII | 227 |

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LXXX | 234 |

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LXXXIII | 243 |

LXXXIV | 249 |

LXXXV | 250 |

LXXXVI | 256 |

LXXXVII | 260 |

LXXXVIII | 264 |

LXXXIX | 268 |

XC | 273 |

XCII | 275 |

XCIII | 276 |

XCIV | 277 |

XCVI | 278 |

XCVII | 279 |

XCVIII | 280 |

XCIX | 282 |

C | 283 |

CI | 286 |

CII | 289 |

CIII | 293 |

CIV | 295 |

CV | 300 |

CVI | 301 |

CVII | 308 |

CVIII | 313 |

CIX | 314 |

CX | 317 |

CXI | 322 |

CXII | 324 |

CXIII | 326 |

CXIV | 328 |

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### Other editions - View all

Logical and Computational Aspects of Model-Based Reasoning L. Magnani,Nancy Nersessian,Claudio Pizzi No preview available - 2002 |

### Common terms and phrases

abduction problem abductive inferences abductive reasoning adaptive logic algorithm application approach Artificial Intelligence assumptions auto-consistency automated Batens behavior components computational condition conflict sets consistency proofs constraint matching context data mining decision model defined Definition denote derived diagnostic reasoning diagrammatic discovery systems domain Dzeroski equation discovery Euler diagrams Euler/Venn diagrams evaluation example explanandum explanation explanatory diagnosis expressed fifth element Figure formal formulas free rides graphical consistency proofs hypotheses inconsistent inference interpretation knowledge L-sentences Langley line number machine learning Magnani mathematical Meheus metaphor method minimal Model-Based Reasoning notation notion observations parameters possible predicate PREM premises PRET PRET'S primary subject proof planning proof theory propositions qualitative relation representation system represented result revision rule Science scientific discovery search space semantic tableau semantic tableaux sentences source types specific strategy structure symbols system identification tableau target types theorem tion variables Venn diagrams weak explanatory