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 David Poole, Alan Mackworth - Cambridge University Press
A book about the science of artificial intelligence, it presents AI as the study of the design of intelligent computational agents. The book is structured as a textbook, but it is accessible to a wide audience of professionals and researchers.
by Ahmed Rebai (ed.) - InTech
Bayesian networks are a general tool that can be used for a large number of problems involving uncertainty: reasoning, learning, planning and perception. This is a collection of contributions to the methodology and applications of Bayesian networks.
by William John Teahan - BookBoon
This book is the first in a series on Artificial Intelligence. It provides an introduction to the topic with an emphasis on the use of agent-oriented design. Topics include agents, environments, agent movement, and agent embodiment.
by Karl T. Ulrich - University of Pennsylvania
Design is conceiving and giving form to artifacts that solve problems. I use artifact in a broad sense to describe any product of intentional creation, including physical goods, services, software, graphics, buildings, landscapes, and processes.