| 000 | 03199nam a22004815i 4500 | ||
|---|---|---|---|
| 001 | 978-3-642-25544-1 | ||
| 003 | DE-He213 | ||
| 005 | 20140220083306.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 120111s2012 gw | s |||| 0|eng d | ||
| 020 |
_a9783642255441 _9978-3-642-25544-1 |
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| 024 | 7 |
_a10.1007/978-3-642-25544-1 _2doi |
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| 050 | 4 | _aQ342 | |
| 072 | 7 |
_aUYQ _2bicssc |
|
| 072 | 7 |
_aCOM004000 _2bisacsh |
|
| 082 | 0 | 4 |
_a006.3 _223 |
| 100 | 1 |
_aSokolova, Marina V. _eauthor. |
|
| 245 | 1 | 0 |
_aDecision Making in Complex Systems _h[electronic resource] : _bThe DeciMaS Agent-based Interdisciplinary Framework Approach / _cby Marina V. Sokolova, Antonio Fernández Caballero. |
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2012. |
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| 300 |
_aXVI, 184p. 88 illus. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aIntelligent Systems Reference Library, _x1868-4394 ; _v30 |
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| 505 | 0 | _aDecision Making in Complex Systems -- A Review on Frameworks for Decision Support Systems -- Design and Implementation of the DeciMaS Framework -- A Case Study for the DeciMaS Framework -- Data and Results. | |
| 520 | _aThe study of complex systems attracts the attention of many researchers in diverse fields. Complex systems are characterized by a high number of entities and a high degree of interactions. One of the most important features is that they do not involve a central organizing authority, but the various elements that make up the systems are self-organized. Moreover, some complex systems possess an emergency priority: climate change and sustainable development research, studies of public health, ecosystem habitats, epidemiology, and medicine, among others. Unfortunately, a great number of today’s overlapping approaches fail to meet the needs of decision makers when managing complex domains. Indeed, the design of complex systems often requires the integration of a number of artificial intelligence tools and techniques. The problem can be viewed in terms of goals, states, and actions, choosing the best action to move the system toward its desired state or behavior. This is why agent-based approaches are used to model complex systems. The main objective of this book is to bring together existing methods for decision support systems creation within a coherent agent-based framework and to provide an interdisciplinary and flexible methodology for modeling complex and systemic domains. | ||
| 650 | 0 | _aEngineering. | |
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 0 | _aPhysics. | |
| 650 | 1 | 4 | _aEngineering. |
| 650 | 2 | 4 | _aComputational Intelligence. |
| 650 | 2 | 4 | _aComplexity. |
| 650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
| 700 | 1 |
_aFernández Caballero, Antonio. _eauthor. |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783642255434 |
| 830 | 0 |
_aIntelligent Systems Reference Library, _x1868-4394 ; _v30 |
|
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-25544-1 |
| 912 | _aZDB-2-ENG | ||
| 999 |
_c102441 _d102441 |
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