|Total results: 17||
|Natural Computing for Simulation and Knowledge Discovery
Leandro Nunes de Castro.
Nature has long provided the inspiration for a variety of scientific discoveries in engineering, biomedicine, and computing, though only recently have these elements of nature been used directly in computational systems. Natural Computing for Simulation and Knowledge Discovery investigates the latest...
Human Olfactory Displays and Interfaces: Odor Sensing and Presentation
Although good devices exist for presenting visual and auditory sensations, there has yet to be a device for presenting olfactory stimulus. Nevertheless, the area for smell presentation continues to evolve and smell presentation in multimedia is not unlikely in the future. Human Olfactory Displays and...
Biologically Inspired Networking and Sensing: Algorithms and Architectures
Pietro Lio, Dinesh Verma.
Despite their widespread impact, computer networks that provide the foundation for the World Wide Web and Internet have many limitations. These networks are vulnerable to security threats, break easily, and have a limited ability to respond to changing conditions. Recent research on overcoming these...
Nature-Inspired Computing Design, Development, and Applications
Leandro Nunes de Castro.
The observation of nature has been the inspiration for many materials, laws, and theories, as well as computational methods. Nature-Inspired computing Design, Development, and Applications covers all the main areas of natural computing, from methods to computationally synthesized natural phenomena, to...
System and Circuit Design for Biologically-Inspired Intelligent Learning
Despite significant research and studies in biologically-inspired circuit design, the capability of the biological creatures still excels that of artificially human-made systems inspired in terms of adaptivity, sensitivity, and spectral characteristics. System and Circuit Design for...
Intelligent Systems for Machine Olfaction: Tools and Methodologies
Evor L. Hines, Mark S. Leeson.
Intelligent systems are systems that, given some data, are able to learn from that data. This makes it possible for complex systems to be modeled and/or for performance to be predicted. In turn, intelligent systems’ functionality can be controlled through learning/training, without the need for a...
Handbook of Research on Computational and Systems Biology: Interdisciplinary Applications
Limin Angela Liu, Dongqing Wei, Yixue Li, Huimin Lei.
The biological sciences have been among the most exciting and intensely pursued fields of science for the past several decades. The advancement of high-throughput technologies that generate large scale biological data as well as the development of related computational tools has enabled global efforts...
Handbook of Research on Computational Methodologies in Gene Regulatory Networks
Sanjoy Das, Doina Caragea, Stephen Welch, William H. Hsu.
Recent advances in gene sequencing technology are now shedding light on the complex interplay between genes that elicit phenotypic behavior characteristic of any given organism. In order to mediate internal and external signals, the daunting task of classifying an organism's genes into complex...
International Journal of Natural Computing Research (IJNCR)
Leandro Nunes de Castro.
The International Journal of Natural Computing Research (IJNCR) provides a forum for researchers to disseminate knowledge on natural computing and to serve as a reference source for state-of-the-art innovative findings. IJNCR provides a comprehensive view of all aspects of natural computing with...
International Journal of Artificial Life Research (IJALR)
The International Journal of Artificial Life Research (IJALR) provides a forum on the study of living systems, human level artificial systems, and machines that exhibit intelligent autonomous behavioral characteristics. Presenting researchers and practitioners with access to explore the developments of...
Cellular Automata and Complex Systems: Methods for Modeling Biological Phenomena
Eleonora Bilotta, Pietro Pantano.
Cellular Automata (CA) are a class of spatially and temporally discrete mathematical systems characterized by local interaction and synchronous dynamical evolution, which show complex behavior and are able to model biological phenomena. Cellular Automata and Complex Systems: Methods for Modeling...
Advancing Artificial Intelligence through Biological Process Applications
Ana B. Porto Pazos, Alejandro Pazos Sierra, Washington Buño Buceta.
As science continues to advance, researchers are continually gaining new insights into the way living beings behave and function, and into the composition of the smallest molecules. Most of these biological processes have been imitated by many scientific disciplines with the purpose of trying to solve...
Biologically Inspired Artificial Intelligence for Computer Games
Darryl Charles, Colin Fyfe, Daniel Livingstone, Stephen McGlinchey.
Computer games are often played by a human player against an artificial intelligence software entity. In order to truly respond in a human-like manner, the artificial intelligence in games must be adaptive, or respond as a human player would as he/she learns to play a game. Biologically Inspired...
Handbook of Research on Nature-Inspired Computing for Economics and Management
The Handbook of Research on Nature-Inspired Computing for Economics and Management is an original, comprehensive reference work of research spanning from applications of nature-inspired computing to economics and management. An authoritative two-volume set, this resource provides global coverage on...
Recent Developments in Biologically Inspired Computing
Leandro Nunes de Castro, Fernando J. Von Zuben.
Recent Developments in Biologically Inspired Computing is necessary reading for undergraduate and graduate students, and researchers interested in knowing the most recent advances in problem solving techniques inspired by nature. This book covers the most relevant areas in computational intelligence...