TY - CHAP
T1 - 99% (biological) inspiration...
AU - Hinchey, Michael G.
AU - Sterritt, Roy
PY - 2006
Y1 - 2006
N2 - Greater understanding of biology in modern times has enabled significant breakthroughs in improving healthcare, quality of life, and eliminating many diseases and congenital illnesses. Simultaneously there is a move towards emulating nature and copying many of the wonders uncovered in biology, resulting in "biologically inspired" systems. Significant results have been reported in a wide range of areas, with systems inspired by nature enabling exploration, communication, and advances that were never dreamed possible just a few years ago. We warn, that as in many other fields of endeavor, we should be inspired by nature and biology, not engage in mimicry. We describe some results of biological inspiration that augur promise in terms of improving the safety and security of systems, and in developing self-managing systems, that we hope will ultimately lead to self-governing systems.
AB - Greater understanding of biology in modern times has enabled significant breakthroughs in improving healthcare, quality of life, and eliminating many diseases and congenital illnesses. Simultaneously there is a move towards emulating nature and copying many of the wonders uncovered in biology, resulting in "biologically inspired" systems. Significant results have been reported in a wide range of areas, with systems inspired by nature enabling exploration, communication, and advances that were never dreamed possible just a few years ago. We warn, that as in many other fields of endeavor, we should be inspired by nature and biology, not engage in mimicry. We describe some results of biological inspiration that augur promise in terms of improving the safety and security of systems, and in developing self-managing systems, that we hope will ultimately lead to self-governing systems.
UR - http://www.scopus.com/inward/record.url?scp=37849184940&partnerID=8YFLogxK
U2 - 10.1007/978-0-387-34733-2_2
DO - 10.1007/978-0-387-34733-2_2
M3 - Chapter
AN - SCOPUS:37849184940
SN - 0387346325
SN - 9780387346328
T3 - IFIP International Federation for Information Processing
SP - 7
EP - 20
BT - Biologically Inspired Cooperative Computing
PB - Springer New York
ER -