000			03406nam a22005295i 4500
001			978-3-031-01568-7
003			DE-He213
005			20240730165130.0
007			cr nn 008mamaa
008			220601s2014 sz | s |||| 0|eng d
020			_a9783031015687 _9978-3-031-01568-7
024	7		_a10.1007/978-3-031-01568-7 _2doi
050		4	_aQ334-342
050		4	_aTA347.A78
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
072		7	_aUYQ _2thema
082	0	4	_a006.3 _223
100	1		_aGrossi, Davide. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _987579
245	1	0	_aJudgment Aggregation _h[electronic resource] : _bA Primer / _cby Davide Grossi, Gabriella Pigozzi.
250			_a1st ed. 2014.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2014.
300			_aXVII, 133 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSynthesis Lectures on Artificial Intelligence and Machine Learning, _x1939-4616
505	0		_aPreface -- Acknowledgments -- Logic Meets Social Choice Theory -- Basic Concepts -- Impossibility -- Coping with Impossibility -- Manipulability -- Aggregation Rules -- Deliberation -- Bibliography -- Authors' Biographies -- Index .
520			_aJudgment aggregation is a mathematical theory of collective decision-making. It concerns the methods whereby individual opinions about logically interconnected issues of interest can, or cannot, be aggregated into one collective stance. Aggregation problems have traditionally been of interest for disciplines like economics and the political sciences, as well as philosophy, where judgment aggregation itself originates from, but have recently captured the attention of disciplines like computer science, artificial intelligence and multi-agent systems. Judgment aggregation has emerged in the last decade as a unifying paradigm for the formalization and understanding of aggregation problems. Still, no comprehensive presentation of the theory is available to date. This Synthesis Lecture aims at filling this gap presenting the key motivations, results, abstractions and techniques underpinning it. Table of Contents: Preface / Acknowledgments / Logic Meets Social Choice Theory / Basic Concepts /Impossibility / Coping with Impossibility / Manipulability / Aggregation Rules / Deliberation / Bibliography / Authors' Biographies / Index.
650		0	_aArtificial intelligence. _93407
650		0	_aMachine learning. _91831
650		0	_aNeural networks (Computer science) . _987580
650	1	4	_aArtificial Intelligence. _93407
650	2	4	_aMachine Learning. _91831
650	2	4	_aMathematical Models of Cognitive Processes and Neural Networks. _932913
700	1		_aPigozzi, Gabriella. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _987582
710	2		_aSpringerLink (Online service) _987584
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783031004407
776	0	8	_iPrinted edition: _z9783031026966
830		0	_aSynthesis Lectures on Artificial Intelligence and Machine Learning, _x1939-4616 _987585
856	4	0	_uhttps://doi.org/10.1007/978-3-031-01568-7
912			_aZDB-2-SXSC
942			_cEBK
999			_c86119 _d86119