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Preface | p. xi |
Introduction | p. 1 |
Logic, foundations of computer science, and applications of logic to computer science | p. 1 |
On the utility of logic for computer engineers | p. 3 |
A Few Thoughts Before the Formalization | p. 7 |
What is logic? | p. 7 |
Logic and paradoxes | p. 8 |
Paradoxes and set theory | p. 9 |
The answer | p. 10 |
Paradoxes in arithmetic and set theory | p. 13 |
The halting problem | p. 13 |
On formalisms and well-known notions | p. 15 |
Some "well-known" notions that could turn out to be difficult to analyze | p. 19 |
Back to the definition of logic | p. 23 |
Some definitions of logic for all | p. 24 |
A few more technical definitions | p. 24 |
Theory and meta-theory (language and meta-language) | p. 30 |
A few thoughts about logic and computer science | p. 30 |
Some historic landmarks | p. 32 |
Propositional Logic | p. 39 |
Syntax and semantics | p. 40 |
Language and meta-language | p. 43 |
Transformation rules for cnf and dnf | p. 49 |
The method of semantic tableaux | p. 54 |
A slightly different formalism: signed tableaux | p. 58 |
Formal systems | p. 64 |
A capital notion: the notion of proof | p. 64 |
What do we learn from the way we do mathematics? | p. 72 |
A formal system for PL (PC) | p. 78 |
Some properties of formal systems | p. 84 |
Another formal system for PL (PC) | p. 86 |
Another formal system | p. 86 |
The method of Davis and Putnam | p. 92 |
The Davis-Putnam method and the SAT problem | p. 95 |
Semantic trees in PL | p. 96 |
The resolution method in PL | p. 101 |
Problems, strategies, and statements | p. 109 |
Strategies | p. 110 |
Horn clauses | p. 113 |
Algebraic point of view of propositional logic | p. 114 |
First-order Terms | p. 121 |
Matching and unification | p. 121 |
A motivation for searching for a matching algorithm | p. 121 |
A classification of trees | p. 123 |
First-order terms, substitutions, unification | p. 125 |
First-Order Logic (FOL) or Predicate Logic (PL1, PC1) | p. 131 |
Syntax | p. 133 |
Semantics | p. 137 |
The notions of truth and satisfaction | p. 139 |
A variant: multi-sorted structures | p. 150 |
Expressive power, sort reduction | p. 150 |
Theories and their models | p. 152 |
How can we reason in FOL? | p. 153 |
Semantic tableaux in FOL | p. 154 |
Unification in the method of semantic tableaux | p. 166 |
Toward a semi-decision procedure for FOL | p. 169 |
Prenex normal form | p. 169 |
Skolemization | p. 174 |
Skolem normal form | p. 176 |
Semantic trees in FOL | p. 186 |
Skolemization and clausal form | p. 188 |
The resolution method in FOL | p. 190 |
Variables must be renamed | p. 201 |
A decidable class: the monadic class | p. 202 |
Some decidable classes | p. 205 |
Limits: Gödel's (first) incompleteness theorem | p. 206 |
Foundations of Logic Programming | p. 213 |
Specifications and programming | p. 213 |
Toward a logic programming language | p. 219 |
Logic programming: examples | p. 222 |
Acting on the execution control: cut"/" | p. 229 |
Translation of imperative structures | p. 231 |
Negation as failure (NAF) | p. 232 |
Some remarks about the strategy used by LP and negation as failure | p. 238 |
Can we simply deduce instead of using NAF? | p. 239 |
Computability and Horn clauses | p. 241 |
Artificial Intelligence | p. 245 |
Intelligent systems: AI | p. 245 |
What approaches to study AI? | p. 249 |
Toward an operational definition of intelligence | p. 249 |
The imitation game proposed by Turing | p. 250 |
Can we identify human intelligence with mechanical intelligence? | p. 251 |
Chinese room argument | p. 252 |
Some history | p. 254 |
Prehistory | p. 254 |
History | p. 255 |
Some undisputed themes in AI | p. 256 |
Inference | p. 259 |
Deductive inference | p. 260 |
An important concept: clause subsumption | p. 266 |
An important problem | p. 268 |
Abduction | p. 273 |
Discovery of explanatory theories | p. 274 |
Required conditions | p. 275 |
Inductive inference | p. 278 |
Deductive inference | p. 279 |
Inductive inference | p. 280 |
Hempel's paradox (1945) | p. 280 |
Generalization: the generation of inductive hypotheses | p. 284 |
Generalization from examples and counter examples | p. 288 |
Problem Specification in Logical Languages | p. 291 |
Equality | p. 291 |
When is it used? | p. 292 |
Some questions about equality | p. 292 |
Why is equality needed? | p. 293 |
Whatis equality? | p. 293 |
How to reason with equality? | p. 295 |
Specification without equality | p. 296 |
Axiomatization of equality | p. 297 |
Adding the definition of = and using the resolution method | p. 297 |
By adding specialized rules to the method of semantic tableaux | p. 299 |
By adding specialized rules to resolution | p. 300 |
Paramodulation and demodulation | p. 300 |
Constraints | p. 309 |
Second Order Logic (SOL): a few notions | p. 319 |
Syntax and semantics | p. 324 |
Vocabulary | p. 324 |
Syntax | p. 325 |
Semantics | p. 325 |
Non-classical Logics | p. 327 |
Many-valued logics | p. 327 |
How to reason with p-valued logics? | p. 334 |
Semantic tableaux for p-valued logics | p. 334 |
Inaccurate concepts: fuzzy logic | p. 337 |
Inference in FL | p. 348 |
Syntax | p. 349 |
Semantics | p. 349 |
Herbrand's method in FL | p. 350 |
Resolution andFL | p. 351 |
Modal logics | p. 353 |
Toward a semantics | p. 355 |
Syntax (language of modal logic) | p. 357 |
Semantics | p. 358 |
How to reason with modallogics? | p. 360 |
Formal systems approach | p. 360 |
Translation approach | p. 361 |
Some elements of temporal logic | p. 371 |
Temporal operators and semantics | p. 374 |
A famous argument | p. 375 |
A temporal logic | p. 377 |
How to reason with temporal logics? | p. 378 |
The method of semantic tableaux | p. 379 |
An example of a PL for linear and discrete time; PTL (or PLTL) | p. 381 |
Syntax | p. 331 |
Semantics | p. 382 |
Method of semantic tableaux for PLTL (direct method) | p. 333 |
Knowledge and Logic: Some Notions | p. 385 |
What is knowledge? | p. 335 |
Knowledge and modal logic | p. 389 |
Toward a formalization | p. 389 |
Syntax | p. 339 |
What expressive power? An example | p. 389 |
Semantics | p. 339 |
New modal operators | p. 391 |
Syntax (extension) | p. 391 |
Semantics (extension) | p. 391 |
Application examples | p. 392 |
Modeling the muddy children puzzle | p. 392 |
Corresponding Kripke worlds | p. 392 |
Properties of the (formalization chosen for the) knowledge | p. 394 |
Solutions to the Exercises | p. 395 |
Bibliography | p. 515 |
Index | p. 517 |
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