000 04320nam a22005055i 4500
001 978-3-540-76829-6
003 DE-He213
005 20161121230545.0
007 cr nn 008mamaa
008 100301s2008 gw | s |||| 0|eng d
020 _a9783540768296
_9978-3-540-76829-6
024 7 _a10.1007/978-3-540-76829-6
_2doi
050 4 _aTA329-348
050 4 _aTA640-643
072 7 _aTBJ
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a519
_223
245 1 0 _aIntelligent Decision Making: An AI-Based Approach
_h[electronic resource] /
_cedited by Gloria Phillips-Wren, Nikhil Ichalkaranje, Lakhmi C. Jain.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2008.
300 _aXIV, 410 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v97
505 0 _aBackground: Human Decision Making -- Understanding Human Decision Making – A Fundamental Step Towards Effective Intelligent Decision Support -- Cognitive Elements of Human Decision Making -- Methods: Computational Intelligence -- to Computational Intelligence for Decision Making -- Collaborative Decision Making Amongst Human and Artificial Beings -- Decision Analysis with Fuzzy Targets -- An Approximation Kuhn–Tucker Approach for Fuzzy Linear Bilevel Decision Making -- A Replanning Support for Critical Decision Making Situations: A Modelling Approach -- A Unifying Multimodel Taxonomy and Agent-Supported Multisimulation Strategy for Decision-Support -- Applications: Intelligent Decision Support -- A Consensus Support System for Group Decision Making Problems with Heterogeneous Information -- Evaluating Medical Decision Making Heuristics and Other Business Heuristics with Neural Networks -- Building Intelligent Sensor Networks with Multiagent Graphical Models -- An Intelligent Expert Systems' Approach to Layout Decision Analysis and Design under Uncertainty -- Using Self Organising Feature Maps to Unravel Process Complexity in a Hospital Emergency Department: A Decision Support Perspective -- Future Directions: Building a Decision Making Framework Using Agent Teams.
520 _aIntelligent Decision Support Systems have the potential to transform human decision making by combining research in artificial intelligence, information technology, and systems engineering. The field of intelligent decision making is expanding rapidly due, in part, to advances in artificial intelligence and network-centric environments that can deliver the technology. Communication and coordination between dispersed systems can deliver just-in-time information, real-time processing, collaborative environments, and globally up-to-date information to a human decision maker. At the same time, artificial intelligence techniques have demonstrated that they have matured sufficiently to provide computational assistance to humans in practical applications. This book includes contributions from leading researchers in the field beginning with the foundations of human decision making and the complexity of the human cognitive system. Researchers contrast human and artificial intelligence, survey computational intelligence, present pragmatic systems, and discuss future trends. This book will be an invaluable resource to anyone interested in the current state of knowledge and key research gaps in the rapidly developing field of intelligent decision support.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aApplied mathematics.
650 0 _aEngineering mathematics.
650 1 4 _aEngineering.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aPhillips-Wren, Gloria.
_eeditor.
700 1 _aIchalkaranje, Nikhil.
_eeditor.
700 1 _aJain, Lakhmi C.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540768289
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v97
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-76829-6
912 _aZDB-2-ENG
950 _aEngineering (Springer-11647)
999 _c500535
_d500535