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Uncertainty and Sensitivity Analysis in Archaeological Computational Modeling

Buch | Hardcover
XVI, 175 Seiten
2016 | 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-27831-5 (ISBN)

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Uncertainty and Sensitivity Analysis in Archaeological Computational Modeling -
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Thisvolume deals with the pressing issue of uncertainty in archaeological modeling.Detecting where and when uncertainty is introduced to the modeling process iscritical, as are strategies for minimizing, reconciling, or accommodating suchuncertainty. Included chapters provide unique perspectives on uncertainty inarchaeological modeling, ranging in both theoretical and methodologicalorientation. The strengths and weaknesses of various identification andmitigation techniques are discussed, in particular sensitivity analysis. Thechapters demonstrate that for archaeological modeling purposes, there is noquick fix for uncertainty; indeed, each archaeological model requires intensiveconsideration of uncertainty and specific applications for calibration andvalidation. As very few such techniques have been problematized in a systematicmanner or published in the archaeological literature, this volume aims toprovide guidance and direction to other modelers in the field by distillingsome basic principles for model testing derived from insight gathered in thecase studies presented. Additionally, model applications and their attendantuncertainties are presented from distinct spatio-temporal contexts and willappeal to a broad range of archaeological modelers. This volume will also be ofinterest to non-modeling archaeologists, as consideration of uncertainty wheninterpreting the archaeological record is also a vital concern for thedevelopment of non-formal (or implicit) models of human behavior in the past.

 

Marieka Brouwer Burg (Ph.D. 2011 Michigan State University) is Lecturer of Anthropology in the Department of Anthropology at the University of New Hampshire, New Hampshire, USA. She is interested in the effects of landscape evolution and climate change on human communities, as well as reconstructing decision processes and perceptions of landscape in the past. She uses GIS-based archaeological computational modeling to explore these processes in both Old and New World contexts. Her current research focuses on investigating the spatiotemporal dimensions of ancient Maya mobility and socioeconomic interactions in the central Belize River Valley, Belize.J.H.M. Peeters (Ph.D. 2007 University of Amsterdam) is Associate Professor of Prehistoric Archaeology at the Groningen Institute of Archaeology, University of Groningen.  Research interests include Hunter-Gatherer Archaeology and Ethnography; Landscape Archaeology; Lithic Technology; Computational Modeling; Site Formation Dynamics and Fractal Geometry.  Current research projects include Late Glacial and Holocene Hunter-Gatherer Landscape Use of the North Sea Basin; Mesolithic Lithic Technology; Hunter-Gatherer Pyro-Technology; Dynamics of Intra-Site Spatial Patterning.William A. Lovis (Ph.D. 1973 Michigan State University) is Professor and Curator of Anthropology in the Department of Anthropology and MSU Museum at Michigan State University, Michigan, USA. His research interests include Hunter-Gatherer Archaeology and Ethnography; The Transition to Horticulture; Applied Theory, Analytic Methods and Research Design; Human-Environment Interactions and Regional Taphonomy; Paleoenvironmental Change; Public Policy including Forensic Archaeology, Law Enforcement Training, and Repatriation; Great Lakes/Midwest and Europe. Current research projects include archaeological site taphonomy and preservation in the Lake Michigan coastal dunes, Mesolithic regional settlement and mobility in Yorkshire, northern England, and hemispheric climate impacts on Great Lakes coastal dune evolution and activation cycling.

Preface.- Chapter 1:Introduction (MariekaBrouwer Burg, J.H.M. Peeters, and William A. Lovis).- Chapter 2: IsThere a Research Design Role for Sensitivity Analysis (SA) in Archaeological Modeling? (WilliamA. Lovis).- Chapter 3: EpistemicConsiderations About Uncertainty and Model Selection in ComputationalArchaeology: A Case Study on Exploratory Modeling (J.H.M. Peeters and Jan-Willem Romeijn).- Chapter 4: GIS-BasedModeling of Archaeological Dynamics (GMAD): Weaknesses, Strengths, and theUtility of Sensitivity Analysis (Marieka Brouwer Burg).- Chapter 5: Assessing Nonlinear Behaviors in anAgent Based Model (Jon W. Carroll).- Chapter 6: ScaleDependency in Agent-Based Modeling: How Many Time Steps? How Many Simulations?How Many Agents? (Joshua Watts).- Chapter 7: TheSensitivity of Demographic Characteristics to the Strength of the PopulationStabilizing Mechanism in a Model Hunter-Gatherer System(Andrew A. White).- Chapter 8: ArchaeologicalSimulation and the Testing Paradigm (Thomas G. Whitley).- Chapter 9: "Uncertainties" (Sander van der Leeuw)

           

Erscheinungsdatum
Reihe/Serie Interdisciplinary Contributions to Archaeology
Zusatzinfo XVI, 175 p. 31 illus., 7 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Geisteswissenschaften Archäologie
Geschichte Allgemeine Geschichte Altertum / Antike
Sozialwissenschaften
Schlagworte Agent based modeling (ABM) • archaeology • Computer Appl. in Social and Behavioral Sciences • Differential criteria weighting • Empirical data set mining and inductive pattern re • Empirical data set mining and inductive pattern recognition • Geographic and behavioral criteria for archaeologi • Geographic and behavioral criteria for archaeological models • Linear versus non-linear modeling • Sensitivity Analysis (SA) • Simulative, predictive, and heuristic frameworks i • Simulative, predictive, and heuristic frameworks in archaeology • Social Sciences
ISBN-10 3-319-27831-2 / 3319278312
ISBN-13 978-3-319-27831-5 / 9783319278315
Zustand Neuware
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