In the two and a half years since the frrst edition of this book was published, the field of logic programming has grown rapidly. Consequently, it seemed advisable to try to expand the subject matter covered in the first edition. The new material in the second edition has a strong database flavour, which reflects my own research interests over the last three years. However, despite the fact that the second edition has about 70% more material than the first edition, many worthwhile topic!! are still missing. I can only plead that the field is now too big to expect one author to cover everything. In the second edition, I discuss a larger class of programs than that discussed in the first edition. Related to this, I have also taken the opportunity to try to improve some of the earlier terminology. Firstly, I introduce "program statements", which are formulas of the form A+-W, where the head A is an atom and the body W is an arbitrary formula. A "program" is a finite set of program statements. There are various restrictions of this class. "Normal" programs are ones where the body of each program statement is a conjunction of literals. (The terminology "general", used in the first edition, is obviously now inappropriate).

This book provides a systematic approach to knowledge representation, computation, and learning using higher-order logic. For those interested in computational logic, it provides a framework for knowledge representation and computation based on higher-order logic, and demonstrates its advantages over more standard approaches based on first-order logic. For those interested in machine learning, the book explains how higher-order logic provides suitable knowledge representation formalisms and hypothesis languages for machine learning applications.

Gödel is a new, general-purpose, declarative programming language that is based on the paradigm of logic programming and can be regarded as a successor to Prolog. This book gives a tutorial overview of Gödel, presents example programs, provides a formal definition of the syntax and semantics of the language, and covers background material on logic.The Gödel language supports types and modules. It has a rich collection of system modules and provides constraint solving in several domains. It also offers metalogical facilities that provide significant support for metaprograms that do analysis, transformation, compilation, verification, debugging, and the like. The declarative nature of Gödel makes it well suited for use as a teaching language, narrows the gap that currently exists between theory and practice in logic programming, makes possible advanced software engineering tools such as declarative debuggers and compiler generators, reduces the effort involved in providing a parallel implementation of the language, and offers substantial scope for parallelization in such implementations.Logic Programming series

Assessment of the development of insight in respect of labour disputes in the USA of students involved in a junior-year college level training programme designed to teach aspects of labour relations - describes use of a teaching method involving the simulation of collective bargaining, and examines differences during the mock negotiations between labour and management students in perception of causes of unrest in labour relations.

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This concise yet comprehensive book presents proven, evidence-based practices for reading instruction in readily accessible language. With a clear and well-organized format ideal for regular referencing, 'Evidence-Based Reading Instruction for All Learners' highlights the practical applications over emphasizing specific theories.