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This volume is the proceedings of the 3rd Workshop on the Mathematical Foundations of Programming Language Semantics held at Tulane University, New Orleans, Louisiana, April 8-10, 1987. The 1st Workshop was at Kansas State University, Manhattan, Kansas in April, 1985 (see LNCS 239), and the 2nd Workshop with a limited number of participants was at Kansas State in April, 1986. It was the intention of the organizers that the 3rd Workshop survey as many areas of the Mathematical Foundations of Programming Language Semantics as reasonably possible. The Workshop attracted 49 submitted papers, from which 28 papers were chosen for presentation. The papers ranged in subject from category theory and Lambda-calculus to the structure theory of domains and power domains, to implementation issues surrounding semantics.
This volume contains the papers selected for presentation at the fifth European Symposium on Programming (ESOP '94), which was held jointly with the 19th Colloquium on Trees in Algebra and Programming (CAAP '94) in Edinburgh in April 1994. ESOP is devoted to fundamental issues in the specification, design and implementation of programming languages and systems. The scope of the symposium includes work on: software analysis, specification, transformation, development and verification/certification; programming paradigms (functional, logic, object-oriented, concurrent, etc.) and their combinations; programming language concepts, implementation techniques and semantics; software design methodologies; typing disciplines and typechecking algorithms; and programming support tools.
This volume contains the proceedings of the Second International Symposium on Theoretical Aspects of Computer Science, held at Tohoku University, Japan in April 1994. This top-level international symposium on theoretical computer science is devoted to theoretical aspects of programming, programming languages and system, and parallel and distributed computation. The papers in the volume are grouped into sessions on: lambda calculus and programming; automated deduction; functional programming; objects and assignments; concurrency; term rewriting and process equivalence; type theory and programming; algebra, categories and linear logic; and subtyping, intersection and union types. The volume also includes seven invited talks and two open lectures.
This book brings together a number of researchers and developers from industry and academia who report on their work. It is of interest to language designers and the creators of toolkits, UIMSs, and other user interface tools.
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This book constitutes the refereed proceedings of the 20th European Conference on Object-Oriented Programming, ECOOP 2006, held in Nantes, France in July 2006. 20 revised full papers, together with 3 keynote papers were carefully reviewed and selected. The papers are organized in topical sections on program query and persistence, ownership and concurrency, languages, type theory, types for object-oriented languages, tools, and modularity. 5 more papers celebrate the 20th anniversary of ECOOP.
It has been widely recognized that artificial intelligence computations offer large potential for distributed and parallel processing. Unfortunately, not much is known about designing parallel AI algorithms and efficient, easy-to-use parallel computer architectures for AI applications. The field of parallel computation and computers for AI is in its infancy, but some significant ideas have appeared and initial practical experience has become available. The purpose of this book has been to collect in one volume contributions from several leading researchers and pioneers of AI that represent a sample of these ideas and experiences. This sample does not include all schools of thought nor contri...
The growing demand for systems of ever-increasing complexity and precision has stimulated the need for higher level concepts, tools, and techniques in every area of Computer Science. Some of these areas, in particular Artificial Intelligence, Databases, and Programming Lan guages, are attempting to meet this demand by defining a new, more abstract level of system description. We call this new level conceptual in recognition of its basic conceptual nature. In Artificial Intelligence, the problem of designing an expert system is seen primarily as a problem of building a knowledge base that repre sents knowledge about an enterprise. Consequently, Knowledge Repre sentation is viewed as a central...