The Logic Programming Paradigm

This exciting new text reveals both the evolution of this programming paradigm since its inception and the impressively broad scope of current research in the field. The contributors to this book are all leading world experts in Logic Programming, and they 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. XXXXXXX Neuer Text Logic Programming was founded 25 years ago. This exciting book reveals both the evolution of this programming paradigm and its impressively broad scope of current research. The contributions by leading computer scientists deal with both theoretical and practical issues. They address diverse topics such as: computational molecular biology, machine learning, mobile computing, multi-agent systems, numerical computing and dynamical systems, database systems, program semantics, natural language processing, and promising future directions.

I. Computing and Programming.- 1 Concurrent and Agent Programming.- Logic Programming and Multi-Agent Systems: A Synergic Combination for Applications and Semantics.- Inference and Computation Mobility with Jinni.- Concurrent Logic/Constraint Programming: The Next 10 Years.- 2 Program Analysis and Methodology.- Formulas as Programs.- Link-time Optimization of Multi-Language Programs.- Horn Logic Denotations and Their Applications.- Global Analysis, Partial Specifications, and Assertions.- 3 Future of Declarative Programming.- Assessment of Some Issues in CL-Theory and Program Development.- How Enterprises Use Functional Languages, and Why They Don't.- Continuous Models of Computation for Logic Programs.- The Logic Programming Paradigm in Numerical Computation.- II. Knowledge Representation and Modeling.- 5 Constraints.- Computational Molecular Biology: A Promising Application Using LP and its Extensions.- Adding Constraints to Logic-based Formalisms.- 6 Machine Learning.- A Perspective on Inductive Logic Programming.- From Deduction to Induction: Logical Perspective.- 7 Answer Set Programming.- Action Languages, Answer Sets, and Planning.- Stable Models and an Alternative Logic Programming Paradigm.- 8 Database Systems.- Logic-Based User-Defined Aggregates for the Next Generation of Database Systems.- 9 Natural Language Processing.- The Logic of Language.