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Artificial Intelligence Today
Artificial Intelligence is one of the most fascinating and unusual areas of academic study to have emerged this century. For some, AI is a true scientific discipline, that has made important and fundamental contributions to the use of computation for our understanding of nature and phenomena of the human mind; for others, AI is the black art of computer science. Artificial Intelligence Today provides a showcase for the field of AI as it stands today. The editors invited contributions both from traditional subfields of AI, such as theorem proving, as well as from subfields that have emerged more recently, such as agents, AI and the Internet, or synthetic actors. The papers themselves are a mixture of more specialized research papers and authorative survey papers. The secondary purpose of this book is to celebrate Springer-Verlag's Lecture Notes in Artificial Intelligence series.
Handbook of Parallel Constraint Reasoning
This is the first book presenting a broad overview of parallelism in constraint-based reasoning formalisms. In recent years, an increasing number of contributions have been made on scaling constraint reasoning thanks to parallel architectures. The goal in this book is to overview these achievements in a concise way, assuming the reader is familiar with the classical, sequential background. It presents work demonstrating the use of multiple resources from single machine multi-core and GPU-based computations to very large scale distributed execution platforms up to 80,000 processing units. The contributions in the book cover the most important and recent contributions in parallel propositional...
Automated Reasoning and Mathematics
This Festschrift volume is published in memory of William W. McCune who passed away in 2011. William W. McCune was an accomplished computer scientist all around but especially a fantastic system builder and software engineer. The volume includes 13 full papers, which are presenting research in all aspects of automated reasoning and its applications to mathematics. These papers have been thoroughly reviewed and selected out of 15 submissions received in response to the call for paper issued in September 2011. The topics covered are: strategies, indexing, superposition-based theorem proving, model building, application of automated reasoning to mathematics, as well as to program verification, data mining, and computer formalized mathematics.
Multiagent Platforms
This book constitutes the thoroughly refereed post-workshop proceedings of the First Pacific Rim International Conference on Multiagents, PRIMA '98, held in Singapore in November 1998 during PRICAI '98. The 13 revised full papers presented have been carefully reviewed for inclusion in the book. The papers are organized in topical sections on multiagent systems design, coordination platforms, and network application platforms; they address various current issues ranging from theorectical foundations to advanced applications in several areas.
A Constraint Logic Approach to Automated Modal Deduction
The integration of these special purpose reasoners and the general deductive system is accomplished by drawing upon general results in the area of hybrid reasoning. It is argued that a number of existing modal deduction methods can be viewed as instances of this general framework. The advantages of the general approach are simple proofs of correctness for various instances of the framework, applicability to a widevariety of logics and proof methods, and ease in incorporating additional features not currently available in automated modal deductive systems. The greater expressivity of logics with these additional features is needed in many A.I. applications of modal logic, such as reasoning about knowledge and action."
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