Experimental Algorithms

This book introduces resource-aware data fusion algorithms to gather and combine data from multiple sources (e.g., sensors) in order to achieve inferences. These techniques can be used in centralized and distributed systems to overcome sensor failure, technological limitation, and spatial and temporal coverage problems.

A total number of 419 reviews were solicited, with the help of trusted external referees. In addition to the 54 papers included in this volume, 6papers were accepted as poster presentations: these papers were published in a separate poster p- ceedings volume by CTI Press and a major publisher in Greece, "Ellinika Gr- mata." The presentation of these posters at the event was expected to create a fruitful discussion on interesting ideas.

This book introduces resource-aware data fusion algorithms to gather and combine data from multiple sources (e.g., sensors) in order to achieve inferences. These techniques can be used in centralized and distributed systems to overcome sensor failure, technological limitation, and spatial and temporal coverage problems.

Editors: Adamatzky, Andrew (Ed.)
The book is an encyclopedia in unconventional computing – the interdisciplinary science aimed to exploit principles of information processing in and functional properties of physical, chemical and living systems to develop efficient algorithms, design optimal architectures and manufacture working prototypes of future and emergent computing devices
The book advances topics of theory of computation, nature-inspired algorithms, chemical and biological prototypes of unconventional computing devices, synthetic biology, non-standard mathematics, nanocomputing, novel hardware, future and emergent computing technologies, self-organization, mathematical machines, and automata