Parallel Processing For Artificial Intelligence 3

Parallel Processing for Artificial Intelligence 3

The third in an informal series of books about parallel processing for Artificial Intelligence, this volume is based on the assumption that the computational demands of many AI tasks can be better served by parallel architectures than by the currently popular workstations. However, no assumption is made about the kind of parallelism to be used. Transputers, Connection Machines, farms of workstations, Cellular Neural Networks, Crays, and other hardware paradigms of parallelism are used by the authors of this collection.The papers arise from the areas of parallel knowledge representation, neural modeling, parallel non-monotonic reasoning, search and partitioning, constraint satisfaction, theorem proving, parallel decision trees, parallel programming languages and low-level computer vision. The final paper is an experience report about applications of massive parallelism which can be said to capture the spirit of a whole period of computing history.This volume provides the reader with a snapshot of the state of the art in Parallel Processing for Artificial Intelligence.

Artificial Intelligence III

Mainstream AI research directions are reflected in the majority of the papers presented in this volume. Automatic reasoning and knowledge representation problems, inferencing, action planning and coordination, temporal reasoning, truth maintenance systems and machine learning are all represented. Other papers are concerned with logic and object-oriented programming, conceptual and implementation problems of AI programming, natural language processing, architectures and systems. The applications of AI are also considered, in the fields of software engineering, industry and the humanities, e.g. education, law.

Parallel Processing for Artificial Intelligence