Morgan & Claypool Declarative Logic Programming: Theory, Systems, and Applications (ACM Books)

About the Author Michael Kifer is a professor with the Department of Computer Science, Stony Brook University, USA. He received his Ph.D. in Computer Science in 1984 from the Hebrew University of Jerusalem, Israel, and the M.S. degree in Mathematics in 1976 from Lomonosov Moscow State University, Russia. Since 2012, Dr. Kifer has served as the President of the Rules and Reasoning Association (RRA). His work spans the areas of knowledge representation and reasoning (KRR), logic programming,Web information systems, and databases. He published four textbooks and numerous articles in these areas as well as co-invented F-logic, HiLog, Annotated Logic, and Transaction Logic, which are among the most widely cited works in Computer Science and Semantic Web research, in particular. Twice, in 1999 and 2002, he was a recipient of the prestigious ACM-SIGMOD ""Test of Time"" awards for his works on F-logic and object-oriented database languages. In 2008, he received SUNY Chancellor's Award for Excellence in Scholarship. In 2013, Dr. Kifer received another prestigious award: The 20-year ""Test of Time"" award from the Association for Logic Programming (ALP) for his work on Transaction Logic. In 2013, Kifer co-founded Coherent Knowledge Systems, a startup that commercializes semantic and KRR technologies.Yanhong Annie Liu is a professor of Computer Science at Stony Brook University. She received her B.S. from Peking University, M.Eng. from Tsinghua University, and Ph.D. from Cornell University, all in Computer Science. Her primary research is in languages and algorithms, especially on systematic design and optimization, centered around incrementalization―the discrete counterpart of differentiation in calculus. Her current research focus is on languages and efficient implementations for secure distributed programming and for declarative system specifications. She has published in many prestigious venues, taught in a wide range of computer science areas, and presented over 100 conferences and invited talks worldwide. She serves on the ACM Books Editorial Board as the Area Editor for Programming Languages, and she is a member of IFIP WG 2.1 on Algorithmic Languages and Calculi. Her awards include a State University of New York Chancellor’s Award for Excellence in Scholarship and Creative Activities. Product Description The idea of this book grew out of a symposium that was held at Stony Brook in September 2012 in celebration of David S.Warren's fundamental contributions to Computer Science and the area of Logic Programming in particular.Logic Programming (LP) is at the nexus of Knowledge Representation, Artificial Intelligence, Mathematical Logic, Databases, and Programming Languages. It is fascinating and intellectually stimulating due to the fundamental interplay among theory, systems, and applications brought about by logic. Logic programs are more declarative in the sense that they strive to be logical specifications of "what" to do rather than "how" to do it, and thus they are high-level and easier to understand and maintain. Yet, without being given an actual algorithm, LP systems implement the logical specifications automatically.Several books cover the basics of LP but focus mostly on the Prolog language with its incomplete control strategy and non-logical features. At the same time, there is generally a lack of accessible yet comprehensive collections of articles covering the key aspects in declarative LP. These aspects include, among others, well-founded vs. stable model semantics for negation, constraints, object-oriented LP, updates, probabilistic LP, and evaluation methods, including top-down vs. bottom-up, and tabling.For systems, the situation is even less satisfactory, lacking accessible literature that can help train the new crop of developers, practitioners, and researchers. There are a few guides onWarren's Abstract Machine (WAM), which underlies most implementations of Prolog, but very little exists on what is