Artificial Intelligence For Biology And Agriculture

The book presents the challenges inherent in the paradigm shift of network systems from static to highly dynamic distributed systems – it proposes solutions that the symbiotic nature of biological systems can provide into altering networking systems to adapt to these changes. The author discuss how biological systems – which have the inherent capabilities of evolving, self-organizing, self-repairing and flourishing with time – are inspiring researchers to take opportunities from the biology domain and map them with the problems faced in network domain. The book revolves around the central idea of bio-inspired systems – it begins by exploring why biology and computer network research are such a natural match.

Authors: Rathore, Heena
Shows how bio-inspired systems – which are inherently robust, flexible and have high resilience towards critical errors – hold immense potential for next generation network systems
Outlines computing and problem solving techniques inspired by biological systems that can provide flexible, adaptable ways of solving networking problems
Provides insights into how the study of biological systems can make network systems more flexible, adaptable, self-organized, self-aware, and self-sufficient