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020 _a9783319266626
_9978-3-319-26662-6
024 7 _a10.1007/978-3-319-26662-6
_2doi
050 4 _aTA352-356
050 4 _aQC20.7.N6
072 7 _aTBJ
_2bicssc
072 7 _aGPFC
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aTBJ
_2thema
072 7 _aGPFC
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082 0 4 _a515.39
_223
245 1 0 _aAdvances in Physarum Machines
_h[electronic resource] :
_bSensing and Computing with Slime Mould /
_cedited by Andrew Adamatzky.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aX, 839 p. 454 illus., 131 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aEmergence, Complexity and Computation,
_x2194-7295 ;
_v21
505 0 _aPart I Experimental -- Part II Theoretical -- Part III Music and Art.
520 _aThis book is devoted to Slime mould Physarum polycephalum, which is a large single cell capable for distributed sensing, concurrent information processing, parallel computation and decentralized actuation. The ease of culturing and experimenting with Physarum makes this slime mould an ideal substrate for real-world implementations of unconventional sensing and computing devices The book is a treatise of theoretical and experimental laboratory studies on sensing and computing properties of slime mould, and on the development of mathematical and logical theories of Physarum behavior. It is shown how to make logical gates and circuits, electronic devices (memristors, diodes, transistors, wires, chemical and tactile sensors) with the slime mould. The book demonstrates how to modify properties of Physarum computing circuits with functional nano-particles and polymers, to interface the slime mould with field-programmable arrays, and to use Physarum as a controller of microbial fuel cells. A unique multi-agent model of slime is shown to serve well as a software slime mould capable for solving problems of computational geometry and graph optimization. The multiagent model is complemented by cellular automata models with parallel accelerations. Presented mathematical models inspired by Physarum include non-quantum implementation of Shor's factorization, structural learning, computation of shortest path tree on dynamic graphs, supply chain network design, p-adic computing and syllogistic reasoning. The book is a unique composition of vibrant and lavishly illustrated essays which will inspire scientists, engineers and artists to exploit natural phenomena in designs of future and emergent computing and sensing devices. It is a 'bible' of experimental computing with spatially extended living substrates, it spanstopics from biology of slime mould, to bio-sensing, to unconventional computing devices androbotics, non-classical logics and music and arts. .
650 0 _aDynamics.
_962503
650 0 _aNonlinear theories.
_93339
650 0 _aComputational intelligence.
_97716
650 0 _aBioinformatics.
_99561
650 0 _aArtificial intelligence.
_93407
650 0 _aNonlinear Optics.
_911414
650 0 _aControl engineering.
_931970
650 0 _aRobotics.
_92393
650 0 _aAutomation.
_92392
650 1 4 _aApplied Dynamical Systems.
_932005
650 2 4 _aComputational Intelligence.
_97716
650 2 4 _aBioinformatics.
_99561
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aNonlinear Optics.
_911414
650 2 4 _aControl, Robotics, Automation.
_931971
700 1 _aAdamatzky, Andrew.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_962504
710 2 _aSpringerLink (Online service)
_962505
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319266619
776 0 8 _iPrinted edition:
_z9783319266633
776 0 8 _iPrinted edition:
_z9783319799926
830 0 _aEmergence, Complexity and Computation,
_x2194-7295 ;
_v21
_962506
856 4 0 _uhttps://doi.org/10.1007/978-3-319-26662-6
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
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