The Logic Programming Paradigm: A 25-Year Perspective

Front Cover
Krzysztof R. Apt, Victor W. Marek, Mirek Truszczynski, David S. Warren
Springer Science & Business Media, Dec 6, 2012 - Computers - 456 pages
Logic Programming was founded 25 years ago. This exciting new text reveals both the evolution of this programming paradigm since its inception and the impressively broad scope of current research in Logic Programming. The contributions to the book deal with both theoretical and practical issues. They address such diverse topics as: computational molecular biology, machine learning, mobile computing, multi-agent systems, planning, numerical computing and dynamical systems, database systems, an alternative to the "formulas as types" approach, program semantics and analysis, and natural language processing. The contributors are all leading world experts in Logic Programming and their contributions were all invited and refereed.
 

Contents

Concurrent and Agent Programming
3
A General MultiAgent System Architecture
10
Towards a Specification Methodology
19
Inference and Computation Mobility with Jinni
33
Jinnis Logical Engine
44
Program Analysis and Methodology
73
Computation Mechanism
85
Alma0
95
Adding Constraints to Logicbased Formalisms 313
312
Logic Formalisms
314
Constraints
315
Adding Constraints to Logic Formalisms
318
Constraints in Logic Formalisms
320
Conclusion
327
Machine Learning
333
The Methodology of Inductive Logic Programming
337

Appendix
102
Linktime Optimization of MultiLanguage Programs
108
5
118
90
125
Provably Correct Compilation
137
Specification Implementation and Verification of DSL Programs
146
Other Applications
153
Global Analysis Partial Specifications and Assertions
161
Overall Framework Architecture and Operation
163
The Assertion Language
167
Defining Properties
170
A Simple Runtime Checking Scheme
174
CompileTime Checking
175
A Sample Debugging Session with the CIAO System
178
Some Practical Hints on Debugging with Assertions
183
A Preliminary Experimental Evaluation
185
Discussion
186
A Code for Runtime Checking
190
Future of Declarative Programming
193
Assessment of Some Issues in CLTheory and Program Development 195
194
Implementation analysis and transformation
197
Algorithm Logic + Control revisited
200
future directions
204
How Enterprises Use Functional Languages and Why They Dont
209
Why No One Uses Functional Languages
217
Functional and Logic Programming
224
Continuous Mathematics
229
The Contention and a Caution
233
Longterm Expectations
235
Relationship to Prior Work
239
Continualizing Propositional Connectives
241
A ContinuousTime Example
244
A Fundamental Discretetime System
248
Emergent Phenomena from Tuning
250
The Logic Programming Paradigm in Numerical Computation
257
Numerical Programs Need Verification
260
From Prolog to CLPR
263
Sound CLPR
266
Proving NDID Formulas
267
Related Work
272
Conclusions
273
Knowledge Representation and Modeling
277
Constraints 279
278
A Promising Application Using LP and its Extensions
281
A Minimalist Introduction to DNA and Protein Generation
282
TopDown Description of Protein Generation from DNA
285
Grammars Defining DNA Components
287
Motivation for Introducing DAGS
289
Obtaining DAGS From NDFSA
293
Chromatic NDFSA and DAGS
294
Alternation of Introns and Exons Using NDFSA
296
Related Approaches
298
Other Problems in Computational Molecular Biology
301
Areas in CS That Are Applicable in Molecular Biology
304
Final Remarks
306
The Relation Between Inductive Logic Programming and Logic Programming
340
Research Directions for Inductive Logic Programming
343
Logical Perspective
347
Inverse Entailment
348
Subsumption and Entailment
350
Completion of the Algorithm
351
Abductive Inference in ILP
352
Conclusion and Future Research Directions
353
Answer Set Programming
355
Action Languages Answer Sets and Planning
357
Incomplete Information
359
Action Language A
360
Answer Sets and Histories
361
Computing Answer Sets
362
Causal Reasoning
363
Action Language C
364
From C to Logic Programming
367
Planning for Domains Described in C
369
Topics for Future Work
370
19
371
Stable Models and an Alternative Logic Programming Paradigm 375
372
Victor W Marek Mirosław Truszczyński 1 Introduction 375
374
Horn Logic Programming
378
Negation in Logic Programming
380
Stable Logic Programming
382
Expressive Power of SLP
384
Recursion Versus Constraints
386
Uniform Control in SLP
392
Conclusions and Future Directions
394
Database Systems
399
LogicBased UserDefined Aggregates for the Next Generation of Database Systems
401
New Applications Require New Aggregates
402
the State of the Art
406
33
407
Aggregates with Early Returns
409
Formal Semantics
411
Monotonic Aggregation
413
Implementation of Extended Aggregates
416
Applications of Monotone Aggregation
417
Applications to SQL Databases
421
34
424
Natural Language Processing
427
The Logic of Language 429
428
Some Basic Problems in Natural Language Processing
431
The Omnipresence of Logic in Language
432
A Computational Linguists Wishlist for Prolog
437
What Fashion of the Day Are We Losing To?
439
How Can Logic Programming Benefit from Regaining the Market?
440
37
441
Controlling Virtual Worlds and Robots Through Natural Language
442
Concept Based Retrieval Through Natural Language
444
Database Initialization from Natural Language
445
Conclusion
451
44
456
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