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710	2		_aSpringerLink (Online service) _9106996
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005			20230102113522.0
008			180525s2019 gw a o |||| 0|eng d
020			_a9783319915425
024	7		_a10.1007/978-3-319-91542-5 _2doi
040			_bspa _aES-MaUEC _cES-MaUEC
050		4	_aQA76 _b2019 EB
100	1		_aSchumann, Andrew _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9671298
245	1	0	_aBehaviourism in Studying Swarms : _bLogical Models of Sensing and Motoring _cby Andrew Schumann.
264		1	_aCham _bSpringer International Publishing _c2019
300			_a1 recurso en línea (XI, 468 páginas) _b117 ilustraciones,25 ilustraciones a color
347			_atext file _bPDF
490	0		_aEmergence Complexity and Computation _x2194-7287 _v33
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aIntroduction -- Actin Filament Networks -- Unconventional Computers Designed on Swarm Behaviours -- Conventional and Unconventional Automata on Swarm Behaviours -- Non-Archimedean Valued Fuzzy and Probability Logics -- Individual-Collective Duality in Swarm Behaviours -- Syllogistic Systems of Swarm Propagation -- Context-Based Games of Swarms.
520	3		_aThis book presents fundamental theoretical results for designing object-oriented programming languages for controlling swarms. It studies the logics of swarm behaviours. According to behaviourism, all behaviours can be controlled or even managed by stimuli in the environment: attractants (motivational reinforcement) and repellents (motivational punishment). At the same time, there are two main stages in reactions to stimuli: sensing (perceiving signals) and motoring (appropriate direct reactions to signals). This book examines the strict limits of behaviourism the point of view of symbolic logic and algebraic mathematics: how far can animal behaviours be controlled by the topology of stimuli? On the one hand, we can try to design reversible logic gates in which the number of inputs is the same as the number of outputs. In the authors' case, the behaviouristic stimuli are inputs in swarm computing and appropriate reactions at the motoring stage are its outputs. On the other hand, the problem is that even at the sensing stage each unicellular organism can be regarded as a logic gate in which the number of outputs (means of perceiving signals) greatly exceeds the number of inputs (signals).
650		7	_aOrdenadores _2embne _9138111
776	0	8	_iPrinted edition: _z9783319915418
776	0	8	_iPrinted edition: _z9783319915432
776	0	8	_iPrinted edition: _z9783030082710
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-91542-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aPrimersemestre_2019_Robotics
998			_aSI _a_alco _a_vill _b11/2019 _cm _dz _ea _feng _ggw _h0