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001			393837
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008			220828s2022 si | s |||| 0|eng d
020			_a9789811940590
024	7		_a10.1007/978-981-19-4059-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
100	1		_aKulkarni, Parag _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aChoice Computing: Machine Learning and Systemic Economics for Choosing _cby Parag Kulkarni
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XXV, 235 páginas) _b78 ilustraciones, 76 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aIntelligent Systems Reference Library _x1868-4408 _v225
505	0		_aIntroduction -- Decoding Choosing -- ML of Choosing: Architecting Intelligent Choice Framework -- Machine Learning of Choice Economics -- Co-operative Choosing: Machines and Humans Thinking Together to Choose the Right Way -- Choice Architecture - Machine Learning Framework -- Artificial Consciousness and Choosing (Towards Conscious Choice Machines) -- Choice Computing and Creativity -- Experimental Choice Computing and Choice Learning Through Real-Life Stories -- Beyond Choice Computing.
520			_aThis book presents thoughts and pathways to build revolutionary machine learning models with the new paradigm of machine learning to adapt behaviorism. It focuses on two aspects - one focuses on architecting a choice process to lead users on the certain choice path while the second focuses on developing machine learning models based on choice paradigm. This book is divided in three parts where part one deals with human choice and choice architecting models with stories of choice architects. Second part closely studies human choosing models and deliberates on developing machine learning models based on the human choice paradigm. Third part takes you further to look at machine learning based choice architecture. The proposed pioneering choice-based paradigm for machine learning presented in the book will help readers to develop products - help readers to solve problems in a more humanish way and to negotiate with uncertainty in a more graceful but in an objective way. It will help to create unprecedented value for business and society. Further, it will unveil a new paradigm for modern intelligent businesses to embark on the new journey; the journey of transition from shackled feature rich and choice poor systems to feature flexible and choice rich natural behaviors.
776	0	8	_iPrinted edition: _z9789811940583
776	0	8	_iPrinted edition: _z9789811940606
776	0	8	_iPrinted edition: _z9789811940613
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-4059-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Robotics_2022
999			_c393837 _d393837