Artificial Intelligence and Molecular Biology
by Lawrence Hunter
Publisher: AAAI Press 1993
Number of pages: 467
These original contributions provide a current sampling of AI approaches to problems of biological significance; they are the first to treat the computational needs of the biology community hand-in-hand with appropriate advances in artificial intelligence. Focusing on novel technologies and approaches, rather than on proven applications, they cover genetic sequence analysis, protein structure representation and prediction, automated data analysis aids, and simulation of biological systems. A brief introductory primer on molecular biology and Al gives computer scientists sufficient background to understand much of the biology discussed in the book.
Download or read it online for free here:
by Andras Kornai
The book introduces the mathematical foundations of linguistics to computer scientists, engineers, and mathematicians. The book presents linguistics as a cumulative body of knowledge from the ground up: no prior knowledge of linguistics is assumed.
by David Moursund - University of Oregon
This book is designed to help teachers learn about the educational implications of current uses of Artificial Intelligence as an aid to solving problems and accomplishing tasks. The text is designed for self-study or for use in workshops.
by M. Khoshnevisan, S. Bhattacharya, F. Smarandache - Xiquan
The purpose of this book is to apply the Artificial Intelligence and control systems to different real models. The text is designed for graduate students and researchers who are active in the applications of AI and Control Systems in modeling.
by Wei Zhang - InTech
Fault diagnosis technology is a synthetic technology, which relates to several subjects: modern control theory, reliability theory, mathematical statistics, fussy set theory, information handling, pattern recognition and artificial intelligence.