Can I read Speeding Up Production Systems: From Concurrent Matching to Parallel Rule Firing* *This research is sponsored by Conselho Nacional de Pesquisas Cientificas e Tecnologicas - CNPq, Pontificia Universidade Catolica do Rio Grande do Sul - PUCRS, Brazil, and by a Faculty Development Award from TRW Foundation. We would like to acknowledge Jeffrey Draper and Michael McClung for their helpful comments.… on EtoBox?

Speeding Up Production Systems: From Concurrent Matching to Parallel Rule Firing* *This research is sponsored by Conselho Nacional de Pesquisas Cientificas e Tecnologicas - CNPq, Pontificia Universidade Catolica do Rio Grande do Sul - PUCRS, Brazil, and by a Faculty Development Award from TRW Foundation. We would like to acknowledge Jeffrey Draper and Michael McClung for their helpful comments.… by Amaral, José Nelson is a Computer Science article available to read on EtoBox.

What is Speeding Up Production Systems: From Concurrent Matching to Parallel Rule Firing* *This research is sponsored by Conselho Nacional de Pesquisas Cientificas e Tecnologicas - CNPq, Pontificia Universidade Catolica do Rio Grande do Sul - PUCRS, Brazil, and by a Faculty Development Award from TRW Foundation. We would like to acknowledge Jeffrey Draper and Michael McClung for their helpful comments.… about?

Parallel processing for AI problems is of great current interest because of its potential for alleviating the computational demands of AI procedures. The articles in this book consider parallel processing for problems in several areas of artificial intelligence: image processing, knowledge representation in semantic networks, production rules, mechanization of logic, constraint satisfaction, parsing of natural language, data filtering and data mining. The publication is divided into six sections. The first addresses parallel computing for processing and understanding images. The second discusses parallel processing for semantic networks, which are widely used means for representing knowledge - methods which enable efficient and flexible processing of semantic networks are expected to have high utility for building large-scale knowledge-based systems. The third section explores the automatic parallel execution of production systems, which are used extensively in building rule-based expert systems - systems containing large numbers of rules are slow to execute and can significantly benefit from automatic parallel execution. The exploitation of parallelism for the mechanization of log

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Author

Amaral, José Nelson

Publisher

Elsevier

Published

1994

Language

EN

ISBN

9780444818379

Field

Computer Science (Physical Sciences)