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Book Categories |
Contributing Authors | ||
Introduction | ||
1 | Logic Programming and Soft Computing - an Introduction | 1 |
2 | Logic Programming with Uncertainty and Computing with Words | 19 |
Fuzzy Unification and Quantification | ||
3 | Fuzzy Unification as a Foundation of Fuzzy Logic Programming | 51 |
4 | Possibilistic Logic with Fuzzy Constants and Fuzzily Restricted Quantifiers | 69 |
5 | Linguistic Logic Programming | 91 |
Negation and Updating | ||
6 | Negation in Fuzzy and Possibilistic Logic Programs | 113 |
7 | Maintaining Well-Founded Views in Constraint Databases | 129 |
Alternative Inference Methods | ||
8 | Fuzzy Prolog based on Lukasiewicz implication | 147 |
9 | A Soft Inference Mechanism based on Cloud Models | 163 |
Implementation Issues | ||
10 | The Management of Uncertainty in Logic Programs using Fril | 191 |
11 | Prolog, Uncertainty Handling and Parallel Evaluation | 215 |
12 | Fril++ - Object-based extensions to Fril | 223 |
Applications | ||
13 | Software Cost Estimation - an Application of Logic Programming under Uncertainty | 241 |
14 | Learning with Fuzzy Definitions of Goals | 267 |
Index | 285 |
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Add Logic Programming and Soft Computing, Logic Programming enables computers to reason about precisely defined statements of logic. Soft computing is founded upon tolerance of imprecision, uncertainty and partial truth. The challenge now facing Artificial Intelligence communities is to produce s, Logic Programming and Soft Computing to the inventory that you are selling on WonderClubX
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Add Logic Programming and Soft Computing, Logic Programming enables computers to reason about precisely defined statements of logic. Soft computing is founded upon tolerance of imprecision, uncertainty and partial truth. The challenge now facing Artificial Intelligence communities is to produce s, Logic Programming and Soft Computing to your collection on WonderClub |