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 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 J. Sheehan, M. Sosna - University of California Press
To the age-old debate over what it means to be human, the relatively new fields of sociobiology and artificial intelligence bring new insights. What have these two fields in common? Have they affected the way we define humanity?
by Giuseppe Riva - De Gruyter Open
The experience of interacting with the newest Virtual Reality technologies is affected by the extent to which we feel ourselves to be 'present' in computer-generated worlds. This volume provides an introduction to the topic of mediated presence.
by Andrea Gaggioli, et al. - De Gruyter Open Ltd
Human computer confluence is a research area aimed at developing an effective, transparent, bidirectional communication between humans and computers, which has the potential to enable new forms of sensing, perception, interaction, and understanding.