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Books > Computing & IT > Applications of computing > Artificial intelligence
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Shortest Path Solvers. From Software to Wetware (Hardcover, 1st ed. 2018)
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Shortest Path Solvers. From Software to Wetware (Hardcover, 1st ed. 2018)
Series: Emergence, Complexity and Computation, 32
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This book offers advanced parallel and distributed algorithms and
experimental laboratory prototypes of unconventional shortest path
solvers. In addition, it presents novel and unique algorithms of
solving shortest problems in massively parallel cellular automaton
machines. The shortest path problem is a fundamental and classical
problem in graph theory and computer science and is frequently
applied in the contexts of transport and logistics,
telecommunication networks, virtual reality and gaming, geometry,
and social networks analysis. Software implementations include
distance-vector algorithms for distributed path computation in
dynamics networks, parallel solutions of the constrained shortest
path problem, and application of the shortest path solutions in
gathering robotic swarms. Massively parallel algorithms utilise
cellular automata, where a shortest path is computed either via
matrix multiplication in automaton arrays, or via the
representation of data graphs in automaton lattices and using the
propagation of wave-like patterns. Unconventional shortest path
solvers are presented in computer models of foraging behaviour and
protoplasmic network optimisation by the slime mould Physarum
polycephalum and fluidic devices, while experimental laboratory
prototypes of path solvers using chemical media, flows and
droplets, and electrical current are also highlighted. The book
will be a pleasure to explore for readers from all walks of life,
from undergraduate students to university professors, from
mathematicians, computers scientists and engineers to chemists and
biologists.
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