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020 _a9783319012858
_9978-3-319-01285-8
024 7 _a10.1007/978-3-319-01285-8
_2doi
035 _ato000542022
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aComputational Models of Complex Systems
_helectronic resource
_cedited by Vijay Kumar Mago, Vahid Dabbaghian.
260 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aX, 196 p. 85 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v53
505 0 _aComputational Models of Complex Systems: An Introduction -- Kabbalah Mathematical System Theoretic Models of Knowledge Based and Behavioral Economics and Finance -- The Commodity Exporting Country: A Spectral Analysis of Brazilian and Australian Financial Markets -- Probabilistic European country risk score forecasting using an epidemiological mathematical model -- Determining the ‘fault zone’ of fall events in Long Term Care -- Artificial Neural Network Based Approach for Classification of Child Disability -- Evaluating video and facial muscle activity for a better assistive technology: a silent speech-based HCl -- Modelling Replace/Repair Criteria for Returned Biomedical Devices in a Lean Manufacturing Environment -- A complex system approach for spatial modeling of land-use change and settlement growth in early agricultural societies -- City System Vulnerability and Resilience: Oscillatory Dynamics of Urban Hierarchies -- Introducing the Terrorism and Extremism Network Extractor -- Sampling Emerging Threats in Facebook using Bio-inspired Strategies (Random Walks).
520 _aComputational and mathematical models provide us with the opportunities to investigate the complexities of real world problems. They allow us to apply our best analytical methods to define problems in a clearly mathematical manner and exhaustively test our solutions before committing expensive resources. This is made possible by assuming parameter(s) in a bounded environment, allowing for controllable experimentation, not always possible in live scenarios. For example, simulation of computational models allows the testing of theories in a manner that is both fundamentally deductive and experimental in nature. The main ingredients for such research ideas come from multiple disciplines and the importance of interdisciplinary research is well recognized by the scientific community. This book provides a window to the novel endeavours of the research communities to present their works by highlighting the value of computational modelling as a research tool when investigating complex systems. We hope that the readers will have stimulating experiences to pursue research in these directions.
650 0 _aengineering.
_9224332
650 0 _aArtificial intelligence.
_9274099
650 0 _aphysics.
_9566227
650 1 4 _aEngineering.
_9224332
650 2 4 _aComputational Intelligence.
_9307538
650 2 4 _aArtificial Intelligence (incl. Robotics).
_9274102
650 2 4 _aComplexity.
_9303499
700 1 _aMago, Vijay Kumar.
_eeditor.
_9447673
700 1 _aDabbaghian, Vahid.
_eeditor.
_9447674
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
830 0 _aIntelligent Systems Reference Library,
_9447053
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-01285-8
912 _aZDB-2-ENG
999 _c399729