Reasoning In Boolean Networks
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Reasoning in Boolean Networks
Author: Wolfgang Kunz
language: en
Publisher: Springer Science & Business Media
Release Date: 1997-06-30
Reasoning in Boolean Networks provides a detailed treatment of recent research advances in algorithmic techniques for logic synthesis, test generation and formal verification of digital circuits. The book presents the central idea of approaching design automation problems for logic-level circuits by specific Boolean reasoning techniques. While Boolean reasoning techniques have been a central element of two-level circuit theory for many decades Reasoning in Boolean Networks describes a basic reasoning methodology for multi-level circuits. This leads to a unified view on two-level and multi-level logic synthesis. The presented reasoning techniques are applied to various CAD-problems to demonstrate their usefulness for today's industrially relevant problems. Reasoning in Boolean Networks provides lucid descriptions of basic algorithmic concepts in automatic test pattern generation, logic synthesis and verification and elaborates their intimate relationship to provide further intuition and insight into the subject. Numerous examples are provide for ease in understanding the material. Reasoning in Boolean Networks is intended for researchers in logic synthesis, VLSI testing and formal verification as well as for integrated circuit designers who want to enhance their understanding of basic CAD methodologies.
Logic Programming and Nonmonotonic Reasoning
This book constitutes the refereed proceedings of the 17th International Conference on Logic Programming and Nonmonotonic Reasoning, LPNMR 2024, held in Dallas, TX, USA, during October 11-14, 2024. The 27 full papers and 3 short papers included in this book were carefully reviewed and selected from 48 submissions. They deal with declarative logic programming, non-monotonic reasoning, and knowledge representation, focusing on the design and implementation of logic-based programming languages and database systems.
Handbook of Research on Computational Methodologies in Gene Regulatory Networks
"This book focuses on methods widely used in modeling gene networks including structure discovery, learning, and optimization"--Provided by publisher.