LEADER 01360nas 22003493 450 001 996581516903316 005 20230531213017.0 011 $a2687-6817 035 $a(OCoLC)958769101 035 $a(CKB)4100000009838405 035 $a(CONSER)--2019201953 035 $a(EXLCZ)994100000009838405 100 $a20160919a20159999 --- a 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$a... IEEE ... International Forum on Research and Technologies for Society and Industry 210 1$aPiscataway, NJ :$cIEEE 517 1 $aRTSI ... 517 1 $a... IEEE ... International Forum on Research and Technologies for Society and Industry (RTSI ...) Proceedings 517 1 $aResearch and Technologies for Society and Industry Leveraging a better tomorrow (RTSI), IEEE International Forum on 517 1 $aIEEE RTSI ... 517 1 $aProceedings of the IEEE International Forum on Research and Technologies for Society and Industry 531 0 $aIEEE Int. Forum Res. Technol. Soc. Ind. 676 $a303.483 712 02$aInstitute of Electrical and Electronics Engineers, 906 $aCONFERENCE 912 $a996581516903316 996 $a.. IEEE ... International Forum on Research and Technologies for Society and Industry$92962231 997 $aUNISA LEADER 05378nam 22007335 450 001 9910523007103321 005 20251113182611.0 010 $a3-030-83643-6 024 7 $a10.1007/978-3-030-83643-6 035 $a(MiAaPQ)EBC6874839 035 $a(Au-PeEL)EBL6874839 035 $a(CKB)21004399500041 035 $a(PPN)262504006 035 $a(OCoLC)1298394388 035 $a(DE-He213)978-3-030-83643-6 035 $a(EXLCZ)9921004399500041 100 $a20220124d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSimulating Transitions to Agriculture in Prehistory /$fedited by Salvador Pardo-Gordó, Sean Bergin 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (270 pages) 225 1 $aSimulating the Past,$x2662-3153 311 08$aPrint version: Pardo-Gordó, Salvador Simulating Transitions to Agriculture in Prehistory Cham : Springer International Publishing AG,c2022 9783030836429 327 $aCurrent thoughts on the modelling approach to the transition of the agriculture -- The spread of agriculture and quantitative laws in prehistory -- Spatial interpolation of chronological information: the development and application of chronosurface to the Spread of Agriculture in west Mediterranean -- Early Warm Signals regarding population trends during the spread of the agriculture in Iberia -- Modeling the beginning of agricultural strategies: An analysis of Risk Management and Workforce Investment -- Agricultural risk management in Mediterranean environments: a computational modeling approach -- Modeling the spread of lithic technologies in Western Anatolia and Aegean during the Neolithic. Archaeological background and data processing methods -- Time and rhythms of the Impresso-Cardial complex: a bayesian modeling -- Cultural hitchhiking in the context of the first agricultural groups of South-western Europe: a simulation approach -- Early Neolithic farming activities in high mountain areasof the Pyrenees: simulating changes in settlement patterns -- Identifying the influence of Neolithic agro-pastoral land-use on Holocene Fire regimes through simulated sedimentary charcoal records -- ?Digital proxies? for validating models of past socio-ecological systems in the Mediterranean Landscape Dynamics Project -- Conclusion. 330 $aThis book highlights new and innovative approaches to archaeological research using computational modeling while focusing on the Neolithic transition around the world.The transformative effect of the spread and adoption of agriculture in prehistory cannot be overstated. Consequently, archaeologists have often focused their research on this transition, hoping to understand both the ecological causes and impacts of this shift, as well as the social motivations and constraints involved. Given the complex interplay of socio-ecological factors, the answers to these types of questions cannot be found using traditional archaeological methods alone. Computational modeling techniques have emerged as an effective approach for better understanding prehistoric data sets and the linkages between social and ecological factors at play during periods of subsistence change. Such techniques include agent-based modeling, Bayesian modeling, GIS modeling of the prehistoric environment, and the modeling of small-scale agriculture. As more archaeological data sets aggregate regarding the transition to agriculture, researchers are often left with few ways to relate these sets to one another. Computational modeling techniques such as those described above represent a critical next step in providing archaeological analyses that are important for understanding human prehistory around the world. Given its scope, this book will appeal to the many interdisciplinary scientists and researchers whose work involves archaeology and computational social science. Chapter ?The Spread of Agriculture: Quantitative Laws in Prehistory?? is available open access under a Creative Commons Attribution 4.0 International License via springer.com. 410 0$aSimulating the Past,$x2662-3153 606 $aArchaeology 606 $aApplication software 606 $aDemography 606 $aPopulation 606 $aLandscape ecology 606 $aBiotechnology 606 $aArchaeology 606 $aComputer and Information Systems Applications 606 $aPopulation and Demography 606 $aLandscape Ecology 606 $aBiotechnology 615 0$aArchaeology. 615 0$aApplication software. 615 0$aDemography. 615 0$aPopulation. 615 0$aLandscape ecology. 615 0$aBiotechnology. 615 14$aArchaeology. 615 24$aComputer and Information Systems Applications. 615 24$aPopulation and Demography. 615 24$aLandscape Ecology. 615 24$aBiotechnology. 676 $a930.102855369 676 $a930.10113 702 $aPardo-Gordo?$b Salvador 702 $aBergin$b Sean 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910523007103321 996 $aSimulating Transitions to Agriculture in Prehistory$92590857 997 $aUNINA