000			03088nam a22004815i 4500
001			978-3-642-18059-0
003			DE-He213
005			20201213202004.0
007			cr nn 008mamaa
008			110302s2011 gw | s |||| 0|eng d
020			_a9783642180590 _9978-3-642-18059-0
024	7		_a10.1007/978-3-642-18059-0 _2doi
050		4	_aQA76.758
072		7	_aUMZ _2bicssc
072		7	_aCOM051230 _2bisacsh
082	0	4	_a005.1 _223
100	1		_aJureta, Ivan. _eauthor.
245	1	0	_aAnalysis and Design of Advice _h[electronic resource] / _cby Ivan Jureta.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011.
300			_aXIII, 301p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
520			_aAdvice involves recommendations on what to think; through thought, on what to choose; and via choices, on how to act. Advice is information that moves by communication, from advisors to the recipient of advice. Ivan Jureta offers a general way to analyze advice. The analysis applies regardless of what the advice is about and from whom it comes or to whom it needs to be given, and it concentrates on the production and consumption of advice independent of the field of application. It is made up of two intertwined parts, a conceptual analysis and an analysis of the rationale of advice. He premises that giving advice is a design problem and he treats advice as an artifact designed and used to influence decisions. What is unusual is the theoretical backdrop against which the author’s discussions are set: ontology engineering, conceptual analysis, and artificial intelligence. While classical decision theory would be expected to play a key role, this is not the case here for one principal reason: the difficulty of having relevant numerical, quantitative estimates of probability and utility in most practical situations. Instead conceptual models and mathematical logic are the author’s tools of choice. The book is primarily intended for graduate students and researchers of management science. They are offered a general method of analysis that applies to giving and receiving advice when the decision problems are not well structured, and when there is imprecise, unclear, incomplete, or conflicting qualitative information.
650		0	_aComputer science.
650		0	_aSoftware engineering.
650		0	_aInformation systems.
650		0	_aEconomics.
650		0	_aPolitical science.
650	1	4	_aComputer Science.
650	2	4	_aSoftware Engineering.
650	2	4	_aBusiness/Management Science, general.
650	2	4	_aComputers and Society.
650	2	4	_aPolitical Science.
650	2	4	_aInformation Systems Applications (incl.Internet).
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642180583
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-18059-0
912			_aZDB-2-SCS
950			_aComputer Science (Springer-11645)
999			_c17333 _d17333