The Role of Social Simulation in Archaeology
DOI:
https://doi.org/10.51349/veg.2023.1.02Keywords:
Archaeology, Simulation, Social Simulation, Agent-Based ModellingAbstract
This article presents an epistemological review of social simulation in archaeology, delimiting it as a practice, method and branch thereof. As a practice, social simulation is positioned amongst other intensive applications of digital technologies to the humanities and social sciences. As a method, we define it as a form of mathematical modelling that contains mechanisms, especially social ones, and which thus demands numerical solutions. We briefly present the characteristics of social simulation, including the central role of agent-based modelling. Finally, we contextualize the place of social simulation within archaeology, offering a brief review of applied examples.
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ADAMATZKY, A. (Ed.): (2010): Game of Life Cellular Automata. Springer London. https://doi.org/10.1007/978-1-84996-217-9
ADAMI, C.; SCHOSSAU, J.; HINTZE, A. (2016): Evolutionary game theory using agent-based methods, Physics of Life Reviews, 19: 1-26. https://doi.org/10.1016/j.plrev.2016.08.015
AIBAR PUENTES, E. (2018): La transformación neoliberal de la ciencia: El caso de las Humanidades Digitales, ArtefaCToS : Revista Del Instituto de Estudios de La Ciencia y La Tecnología, 1 (7): 13-28.
ALTAWEEL, M. (2015): Settlement Dynamics and Hierarchy from Agent Decision-Making: A Method Derived from Entropy Maximization, Journal of Archaeological Method and Theory, 22 (4): 1122-1150. https://doi.org/10.1007/s10816-014-9219-6
ALTAWEEL, M.; WATANABE, C.E. (2012): Assessing the resilience of irrigation agriculture: Applying a social–ecological model for understanding the mitigation of salinization, Journal of Archaeological Science, 39 (4): 1160-1171. https://doi.org/10.1016/j.jas.2011.12.020
ANGOURAKIS, A.; ALCAINA-MATEOS, J.; MADELLA, M.; ZURRO, D. (2022): Human-Plant Coevolution: A modelling framework for theory-building on the origins of agriculture, PloS one, 17 (9): e0260904. https://doi.org/10.1371/journal.pone.0260904
ANGOURAKIS, A.; BATES, J.; BAUDOUIN, J.-P.; GIESCHE, A.; WALKER, J.R.; USTUNKAYA, M.C.; WRIGHT, N.; SINGH, R.N.; PETRIE, C.A. (2022): Weather, Land and Crops in the Indus Village Model: A Simulation Framework for Crop Dynamics under Environmental Variability and Climate Change in the Indus Civilisation, Quaternary, 5 (2): 2. https://doi.org/10.3390/quat5020025
ANGOURAKIS, A.; RONDELLI, B.; STRIDE, S.; RUBIO CAMPILLO, X.; BALBO, A.L.; TORRANO, A.; MARTÍNEZ FERRERAS, V.; MADELLA, M.; GURT ESPARRAGUERA, J. M. (2014): Land Use Patterns in Central Asia. Step 1: The Musical Chairs Model, Journal of Archaeological Method and Theory, 21 (2): 405-425. https://doi.org/10.1007/s10816-013-9197-0
ANGOURAKIS, A.; SALPETEUR, M.; MARTÍNEZ FERRERAS, V.; GURT ESPARRAGUERA, J.M.; FERRERAS, V.M.; GURT ESPARRAGUERA, J. M. (2017): The Nice Musical Chairs Model: Exploring the Role of Competition and Cooperation Between Farming and Herding in the Formation of Land Use Patterns in Arid Afro-Eurasia, Journal of Archaeological Method and Theory, 24 (4): 1177-1202. https://doi.org/10.1007/s10816-016-9309-8
ANGOURAKIS, A.; SANTOS, J.I.; GALÁN, J.M., y BALBO, A.L. (2015): Food for all: An agent-based model to explore the emergence and implications of cooperation for food storage, Environmental Archaeology, 20 (4): 349-363. https://doi.org/10.1179/1749631414Y.0000000041
APPIO, F. P.; FRATTINI, F.; MESSENI PETRUZZELLI, A.; NEIROTTI, P. (2021): Digital Transformation and Innovation Management: A Synthesis of Existing Research and an Agenda for Future Studies, Journal of Product Innovation Management, 1: 4-20. https://doi.org/10.1111/jpim.12562
AXTELL, R.L.; EPSTEIN, J.M.; DEAN, J.S.; GUMERMAN, G.J.; SWEDLUND, A.C.; HARBURGER, J.; CHAKRAVARTY, S.; HAMMOND, R.; PARKER, J.; PARKER, M. (2002): Population growth and collapse in a multiagent model of the Kayenta Anasazi in Long House Valley, Proceedings of the National Academy of Sciences, 99 (Supplement 3): 7275-7279. https://doi.org/10.1073/pnas.092080799
BARCELÓ, J.A. (2010): «Sociedades artificiales para el análisis de procesos sociales en la prehistória», Cuadernos de Prehistoria y Arqueología de la Universidad de Granada, 20: 123-148.
BARCELÓ, J.A.; ACHINO, K.F.; BOGDANOVIC, I.; CAPUZZO, G.; DEL CASTILLO, F.; MOITINHO DE ALMEIDA, V.; NEGRE, J. (2015): Measuring, Counting and Explaining: An Introduction to Mathematics in Archaeology, en J.A. BARCELÓ y I. BOGDANOVIC (eds.), Mathematics and Archaeology, CRC Press: 3-64.
BARCELÓ, J.A.; DEL CASTILLO, F. (2016): Simulating the Past for Understanding the Present. A Critical Review, En J.A. BARCELÓ y F. DEL CASTILLO (eds.), Simulating Prehistoric and Ancient Worlds, Springer International Publishing: 1-140. https://doi.org/10.1007/978-3-319-31481-5_1
BAUM, T.; NENDEL, C.; JACOMET, S.; COLOBRAN, M.; EBERSBACH, R. (2016): “Slash and burn” or “weed and manure”? A modelling approach to explore hypotheses of late Neolithic crop cultivation in pre-alpine wetland sites, Vegetation History and Archaeobotany, 25 (6): 611-627. https://doi.org/10.1007/s00334-016-0583-x
BEVAN, A.; LAKE, M.W. (eds.) (2013): Computational Approaches to Archaeological Spaces, Routledge. https://doi.org/10.4324/9781315431932
BOCQUET-APPEL, J.-P.; DUBOULOZ, J.; MOUSSA, R.; BERGER, J.-F.; TRESSET, A.; ORTU, E.; VIGNE, J.-D.; BENDREY, R.; BRÉHARD, S.; SCHWARTZ, D.; SALAVERT, A.; SANCHEZ-GOÑI, M. F.; ERTLEN, D.; GAUVRY, Y.; DAVTIAN, G.; LINDEN, M. V.; LENNEIS, E.; NOIRET, L.; GUILLAUMONT, A.; O’CONNOR, M. (2014): Multi-agent Modelling of the Trajectory of the LBK Neolithic: A Study in Progress, en A. WHITTLE y P. BICKLE (eds.), Early Farmers: The View from Archaeology and Science, British Academy. https://doi.org/10.5871/bacad/9780197265758.003.0004
BOOGERS, S.; DAEMS, D. (2022): SAGAscape: Simulating Resource Exploitation Strategies in Iron Age to Hellenistic Communities in Southwest Anatolia, Journal of Computer Applications in Archaeology, 5 (1): 1. https://doi.org/10.5334/jcaa.90
BRANTINGHAM, P.J. (2006): Measuring Forager Mobility, Current Anthropology, 47 (3): 435-459. https://doi.org/10.1086/503062
BREITENECKER, F.; BICHER, M., y WURZER, G. (2015): Agent-Based Simulation in Archaeology: A Characterization, en G. WURZER, K. KOWARIK, y H. RESCHREITER (eds.), Agent-based Modeling and Simulation in Archaeology Springer, Cham: 53-76. https://doi.org/10.1007/978-3-319-00008-4_3
BUNGE, M. (1997): Mechanism and Explanation, Philosophy of the Social Sciences, 27 (4): 410-465. https://doi.org/10.1177/004839319702700402
CALLEGARI, S.; WEISSMANN, J.D.; TKACHENKO, N.; PETERSEN, W.P.; LAKE, G.; DE LEÓN, M.P., y ZOLLIKOFER, C.P.E. (2013): An agent-based model of human dispersals at a global scale, Advances in Complex Systems, 16 (04n05): 1350023. https://doi.org/10.1142/S0219525913500239
CARO SAIZ, J.; DÍAZ-DE LA FUENTE, S.; SILVIA, AHEDO, V.; ZURRO HERNÁNDEZ, D.; MADELLA, M.; GALÁN, J.M.; IZQUIERDO, L.R.; SANTOS, J.I.; OLMO, R. DEL. (2020): Ciencias Sociales Computacionales y Humanidades Digitales: Un ejemplo de praxis transdisciplinar, PressBooks.
CARRIGNON, S.; BRUGHMANS, T.; ROMANOWSKA, I. (2020): Tableware trade in the Roman East: Exploring cultural and economic transmission with agent-based modelling and approximate Bayesian computation, PloS one, 15 (11): e0240414. https://doi.org/10.1371/journal.pone.0240414
CEGIELSKI, W.H.; ROGERS, J.D. (2016): Rethinking the role of Agent-Based Modeling in archaeology, Journal of Anthropological Archaeology, 41: 283-298. https://doi.org/10.1016/J.JAA.2016.01.009
CHATTOE-BROWN, E. (2013): Why sociology should use agent based modelling, Sociological Research Online, 18 (3): 3. https://doi.org/10.5153/sro.3055
CHIN, T.; LI, G.; JIAO, H.; ADDO, F.; JAWAHAR, I. M. (2019): Career sustainability during manufacturing innovation: A review, a conceptual framework and future research agenda, Career Development International, 24 (6): 509-528. https://doi.org/10.1108/CDI-02-2019-0034
CHLIAOUTAKIS, A.; CHALKIADAKIS, G. (2016): Agent-based modeling of ancient societies and their organization structure, Autonomous Agents and Multi-Agent Systems, 30(6), 1072-1116. https://doi.org/10.1007/s10458-016-9325-9
CHLIAOUTAKIS, A.; CHALKIADAKIS, G. (2020): An agent-based model for simulating intersettlement trade in past societies, JASSS, 23 (3). https://doi.org/10.18564/jasss.4341
CHRISTIANSEN, J. H.; ALTAWEEL, M.R. (2006): Simulation of Natural and Social Process Interactions, Social Science Computer Review, 24 (2): 209-226. https://doi.org/10.1177/0894439305281500
CIOFFI-REVILLA, C.; HONEYCHURCH, W.; ROGERS, J. D. (2015): MASON hierarchies: A long-range agent model of power, conflict, and environment in Inner Asia, en The Complexity of Interaction Along the Eurasian Steppe Zone in the First Millennium AD: Empires, Cities, Nomads and Farmers, Bonn University Press: 39-63.
CÓDOVA, D.M. (2003): Modelos de simulación en antropología y arqueología, Universidad de Buenos Aires.
CONTE, R.; GILBERT, N.; BONELLI, G.; CIOFFI-REVILLA, C.; DEFFUANT, G.; KERTESZ, J.; LORETO, V.; MOAT, S.; NADAL, J.-P.; SANCHEZ, A.; NOWAK, A.; FLACHE, A.; SAN MIGUEL, M.; HELBING, D. (2012): Manifesto of computational social science, The European Physical Journal Special Topics, 214 (1): 325-346. https://doi.org/10.1140/epjst/e2012-01697-8
COSTOPOULOS, A. (2015): How Did Sugarscape Become a Whole Society Model?», en G. WURZER, K. KOWARIK, y H. RESCHREITER (eds.), Agent-based Modeling and Simulation in Archaeology, Springer, Cham: 259-269. https://doi.org/10.1007/978-3-319-00008-4_11
CROOKS, A.T.; HEPPENSTALL, A.J. (2012): Introduction to agent-based modelling, en Agent-Based Models of Geographical Systems, Springer Netherlands: 85-105. https://doi.org/10.1007/978-90-481-8927-4_5
CRUZ, D. DE LA; ESTÉVEZ, J.; NORIEGA, P.; PÉREZ, M.; PIQUÉ, R.; SABATER-MIR, J.; VILA, A.; VILLATORO, D. (2010): Normas en sociedades cazadoras-pescadoras-recolectoras. Argumentos para el uso de la simulación social basada en agentes, Cuadernos de Prehistoria y Arqueología de la Universidad de Granada, 20: 149-161. https://doi.org/10.30827/cpag.v20i0.129
CUARTAS-RESTREPO, J.M. (2017): Humanidades digitales, dejarlas ser, Revista Colombiana de Educación, 72: 65-78.
DAVIDSON, C.N.; GOLDBERG, D.T. (2004): A Manifesto for the Humanities in a Technological Age, The Cronicle Review, 50 (23): 1-6.
DAVIES, B.; HOLDAWAY, S.J.; FANNING, P.C. (2016): Modelling the palimpsest: An exploratory agent-based model of surface archaeological deposit formation in a fluvial arid Australian landscape, The Holocene, 26 (3): 450-463. https://doi.org/10.1177/0959683615609754
DEAN, J.S. (1996): Kanyeta Anasazi Settlement Transformations in Northeastern Arizona, A.D. 1150 to 1350, en M.A. ADLER (ed.), The Prehistoric Pueblo World, A.D. 1150-1350, University of Arizona Press: 29-47.
DEAN, J. S.; GUMERMAN, G. J.; EPSTEIN, J. M.; ATXELL, R. L.; SWEDLUND, A. C.; PARKER, M. T.; MCCARROLL, S. (2000): Understanding Anasazi Culture Change Through Agent-Based Modeling, en T.A. KOHLER y G. J. GUMERMAN (eds.), Dynamics in human and primate societies: Agent-based modeling of social and spatial processes, Oxford University Press: 179-205.
DEANGELIS, D.L.; GRIMM, V. (2014): Individual-based models in ecology after four decades, F1000Prime Reports, 6: 39. https://doi.org/10.12703/P6-39
DELGADO, M.M.Z. (2020): El tiempo de las humanidades digitales: Entre la historia del arte, el patrimonio cultural, la ciudadanía global y la educación en competencias digitales, Revista de Comunicación de la SEECI, 52: 29-47. https://doi.org/10.15198/seeci.2020.52.29-47
DELORME, M. (1999): An Introduction to Cellular Automata, en M. Delorme y J. Mazoyer (eds.), Cellular Automata: A Parallel Model, Springer Netherlands: 5-49. https://doi.org/10.1007/978-94-015-9153-9_1
DIAMOND, J.M. (2002): Life with the artificial Anasazi, Nature, 419 (6907): 567-569. https://doi.org/10.1038/419567a
DORAN, J. (1997): Distributed artificial intelligence and emergent social complexity, en S.E. VAN DER LEEUW y J. MCGLADE (eds.), Time, Process, and Structured Transformation in Archaeology, Routledge: 283-297.
EDMONDS, B.; MOSS, S. (2005): From KISS to KIDS – An ‘Anti-simplistic’ Modelling Approach, en P. DAVIDSSON, B. LOGAN, y K. TAKADAMA (eds.), Multi-Agent and Multi-Agent-Based Simulation, Springer: 130-144. https://doi.org/10.1007/978-3-540-32243-6_11
ELSTER, J. (1982): The Case for Methodological Individualism, Theory and Society, 11 (4): 453-482.
EPSTEIN, J.M. (2006): Generative social science: Studies in agent-based modeling, Princeton University Press.
EPSTEIN, J.M. (2008): Why Model? « Journal of Artificial Societies and Social Simulation, 11 (4): 12.
EPSTEIN, J.M.; AXTELL, R. (1996): Growing Artificial Societies: Social Science from the Bottom Up, Brookings Institution Press.
EZEKIEL, M. (1930): Methods of Correlation Analysis, Wiley.
FERBER, J. (1999): Multi-agent systems: An introduction to distributed artificial intelligence, Addison-Wesley.
FILATOVA, T.; POLHILL, J.G.; VAN EWIJK, S. (2016): Regime shifts in coupled socio-environmental systems: Review of modelling challenges and approaches, Environmental Modelling and Software, 75: 333-347. https://doi.org/10.1016/j.envsoft.2015.04.003
FILATOVA, T.; VERBURG, P.H.; PARKER, D.C., y STANNARD, C.A. (2013): Spatial agent-based models for socio-ecological systems: Challenges and prospects, Environmental Modelling y Software, 45: 1-7. https://doi.org/10.1016/j.envsoft.2013.03.017
GALINA RUSSELL, I. (2016): La evaluación de los recursos digitales para las humanidades, Signa: Revista de la Asociación Española de Semiótica, 25: 121-136. https://doi.org/10.5944/signa.vol25.2016.16909
GILBERT, N.; DORAN, J. (eds.) (2018): Simulating Societies: The Computer Simulation of Social Phenomena, Routledge. https://doi.org/10.4324/9781351165129
GILBERT, N.; TROITZSCH, K.G. (2006): Simulación para las ciencias sociales, McGraw-Hill.
GOWER-WINTER, B. (2022): Self-Adapting Simulated Artificial Societies, University of Cape Town.
GRAHAM, S. (2009): Behaviour Space: Simulating Roman Social Life and Civil Violence, Digital Studies / Le Champ Numérique, 1 (2): 2. https://doi.org/10.16995/dscn.109
GRAHAM, S. (2020): An Enchantment of Digital Archaeology: Raising the Dead with Agent-Based Models, Archaeogaming and Artificial Intelligence, Berghahn Books.
GRAVEL-MIGUEL, C.; MURRAY, J. K.; SCHOVILLE, B.J.; WREN, C.D.; MAREAN, C.W. (2021): Exploring variability in lithic armature discard in the archaeological record, Journal of Human Evolution, 155: 102981. https://doi.org/10.1016/j.jhevol.2021.102981
GRIMM, V.; RAILSBACK, S.F. (2005): Individual-based modeling and ecology.
GROSMAN, L. (2016): Reaching the point of no return: The computational revolution in archaeology, Annual review of Anthropology, 45: 129-145.
GÜNTHER, G.; CLEMEN, T.; DUTTMANN, R.; SCHÜTT, B.; KNITTER, D. (2021): Of Animal Husbandry and Food Production–A First Step towards a Modular Agent-Based Modelling Platform for Socio-Ecological Dynamics, Land, 10 (12): 12. https://doi.org/10.3390/land10121366
HEDSTRÖM, P.; SWEDBERG, R. (1996): Social Mechanisms, Acta Sociologica, 39 (3): 281-308. https://doi.org/10.1177/000169939603900302
HEDSTROM, P.; SWEDBERG, R. (1998): Social mechanisms, Cambridge University Press, Cambridge.
HINE, C. (2006): New Infrastructures for Knowledge Production: Understanding E-science, Idea Group Inc (IGI):
HOLLAND, J. H. (1992): Complex Adaptive Systems, Daedalus, 121 (1): 17-30.
INTIGNANO, M.; BIANCARDO, S. A.; ORETO, C.; VISCIONE, N.; VEROPALUMBO, R.; RUSSO, F.; AUSIELLO, G.; DELL’ACQUA, G. (2021): A Scan-to-BIM Methodology Applied to Stone Pavements in Archaeological Sites, Heritage, 4 (4): 4. https://doi.org/10.3390/heritage4040169
JANSSEN, M.A. (2009): Understanding Artificial Anasazi, Jasss, 12 (4): 13. https://doi.org/13
JOACHIM, V.; SPIETH, P.; HEIDENREICH, S. (2018): Active innovation resistance: An empirical study on functional and psychological barriers to innovation adoption in different contexts, Industrial Marketing Management, 71: 95-107. https://doi.org/10.1016/j.indmarman.2017.12.011
JOHNSON-LAIRD, P.N. (1983): Mental Models: Towards a Cognitive Science of Language, Inference, and Consciousness, Harvard University Press.
JOHNSON-LAIRD, P. N. (2004): The history of mental models, en Psychology of Reasoning, Psychology Press: 179-213.
JOYCE, J.A. (2019): Farming along the limes: Using agent-based modelling to investigate possibilities for subsistence and surplus-based agricultural production in the Lower Rhine delta between 12BCE and 270CE [Ph.D., Vrije Universiteit Amsterdam]. http://dare.ubvu.vu.nl/handle/1871/55924
KABORA, T.K.; STUMP, D.; WAINWRIGHT, J. (2020): How did that get there? Understanding sediment transport and accumulation rates in agricultural landscapes using the ESTTraP agent-based model, Journal of Archaeological Science: Reports, 29: 102115. https://doi.org/10.1016/j.jasrep.2019.102115
KEIL, F.C. (2006): Explanation and Understanding, Annual review of psychology, 57: 227-254. https://doi.org/10.1146/annurev.psych.57.102904.190100
KINTIGH, K.W.; ALTSCHUL, J.H.; BEAUDRY, M.C.; DRENNAN, R.D.; KINZIG, A.P.; KOHLER, T.A.; LIMP, W.F.; MASCHNER, H.D.G.; MICHENER, W.K.; PAUKETAT, T.R.; PEREGRINE, P.; SABLOFF, J.A.; WILKINSON, T.J.; WRIGHT, H.T., y ZEDER, M.A. (2014): Grand Challenges for Archaeology, American Antiquity, 79 (01): 5-24. https://doi.org/10.7183/0002-7316.79.1.5
KOHLER, T.A. (2000): Putting Social Sciences Together Again: An Introduction to the Volume, en T.A. KOHLER y G.G. GUMERMAN (eds.), Dynamics in human and primate societies: Agent-based modeling of social and spatial processes, Oxford University Press, Oxford: 1-18.
KOHLER, T.A.; VARIEN, M.D. (2012): Emergence and Collapse of Early Villages: Models of Central Mesa Verde Archaeology, University of California Press.
KOVACEVIC, M.; SHENNAN, S.; VANHAEREN, M.; D’ERRICO, F.; THOMAS, M.G. (2015): «Simulating Geographical Variation in Material Culture: Were Early Modern Humans in Europe Ethnically Structured?», en A. MESOUDI y K. AOKI (eds.), Learning Strategies and Cultural Evolution during the Palaeolithic, Springer Japan: 103-120. https://doi.org/10.1007/978-4-431-55363-2_8
KOWARIK, K.; KOCH, A., KUTZNER, T.; EDER, T. (2012): Agents in Archaeology–Agent Based Modelling (ABM) in Archaeological Research, Geoinformationssysteme: Beiträge zum, 17: 238-251.
LAKE, M. (2001): The Use of Pedestrian Modelling in Archaeology, with an Example from the Study of Cultural Learning, Environment and Planning B: Planning and Design, 28 (3): 385-403. https://doi.org/10.1068/b2726
LAKE, M.W. (2014): Trends in Archaeological Simulation, Journal of Archaeological Method and Theory, 21 (2): 258-287. https://doi.org/10.1007/s10816-013-9188-1
LAKE, M.W. (2015): Explaining the Past with ABM: On Modelling Philosophy, en G. WURZER, K. KOWARIK y H. RESCHREITER (eds.), Agent-based Modeling and Simulation in Archaeology, Springer, Cham: 3-35. https://doi.org/10.1007/978-3-319-00008-4__1
LAKE, M.W.; CREMA, E.R. (2012): The cultural evolution of adaptive-trait diversity when resources are uncertain and finite, Advances in Complex Systems, 15: 01n02, 1150013. https://doi.org/10.1142/S0219525911003323
LAWALL, M.L.; GRAHAM, S. (2018): Netlogo simulations and the use of transport amphoras in Antiquity, en LEIDWANGER y C. KNAPPETT (eds.), Maritime Networks in the Ancient Mediterranean World, Cambridge University Press, Cambridge: 163-183.
LITTLER, M.L. (1998): Simulating the Long House Valley: An evaluation of the role of agent-based computer simulation in archaeology - ProQuest [MA, University of Arizona].
LUKE, S.; CIOFFI-REVILLA, C.; PANAIT, L.; SULLIVAN, K.; BALAN, G. (2005): MASON : A Multi-Agent Simulation Environment. January, 1-18.
MANSON, S.M.; SUN, S.; BONSAL, D. (2012): Agent-Based Modeling and Complexity, en A.J. HEPPENSTALL, A.T. CROOKS, L.M. SEE y M. BATTY (eds.), Agent-Based Models of Geographical Systems, Springer Netherlands: 125-139. https://doi.org/10.1007/978-90-481-8927-4_7
MANZO, G. (2022): The Diversity of Views on Causality and Mechanisms, en Agent-based Models and Causal Inference, John Wiley y Sons: 9-24. https://doi.org/10.1002/9781119704492.ch1
MARCHIONNI, C.; YLIKOSKI, P. (2013): Generative Explanation and Individualism in Agent-Based Simulation, Philosophy of the Social Sciences, 43 (3): 323-340. https://doi.org/10.1177/0048393113488873
MARWICK, B. (2017): Computational Reproducibility in Archaeological Research: Basic Principles and a Case Study of Their Implementation, Journal of Archaeological Method and Theory, 24 (2): 424-450. https://doi.org/10.1007/s10816-015-9272-9
MAYNTZ, R. (2004): Mechanisms in the Analysis of Social Macro-Phenomena, Philosophy of the Social Sciences, 34 (2): 237-259. https://doi.org/10.1177/0048393103262552
MCANANY, P.A.; SABLOFF, J.A.; HILAIRE, M.L.S.; IANNONE, G. (2015): Leaving Classic Maya cities: Agent-based modeling and the dynamics of diaspora, en G. EMBERLING (ed.), Social theory in archaeology and ancient history: The present and future of counternarratives, Cambridge University Press, Cambridge: 231-258. https://doi.org/10.1017/cbo9781107282056
MCLAREN, B.E.; PETERSON, R.O. (1994): Wolves, Moose, and Tree Rings on Isle Royale, Science, 266 (5190): 1555-1558. https://doi.org/10.1126/science.266.5190.1555
MEYER, R. (2014): Multi-Agent-Based Simulation XIV. 8235(January 2015): 0-14. https://doi.org/10.1007/978-3-642-54783-6
MOKOM, F. (2015): Modeling the Evolution of Artifact Capabilities in Multi-Agent Based Simulations, Electronic Theses and Dissertations.
MORGAN, C. (2022): Current Digital Archaeology, Annual Review of Anthropology, 51 (1): 213-231. https://doi.org/10.1146/annurev-anthro-041320-114101
MORRISON, A.E.; ALLEN, M.S. (2017): Agent-based modelling, molluscan population dynamics, and archaeomalacology, Quaternary International, 427: 170-183. https://doi.org/10.1016/J.QUAINT.2015.09.004
MÜHLBAUER, L.K.; SCHULZE, M.; HARPOLE, W.S.; CLARK, A.T. (2020): gauseR: Simple methods for fitting Lotka-Volterra models describing Gause’s “Struggle for Existence, Ecology and Evolution, 10 (23): 13275-13283. https://doi.org/10.1002/ece3.6926
NOGUERA, J.A. (2003): ¿Quién teme al individualismo metodológico? Un análisis de sus implicaciones para la teoría social, Papers. Revista de Sociologia, 69: 101-131. https://doi.org/10.5565/rev/papers/v69n0.1285
OESTMO, S.; JANSSEN, M.A., y MAREAN, C.W. (2016): Testing Brantingham’s Neutral Model: The Effect of Spatial Clustering on Stone Raw Material Procurement, en J.A. BARCELÓ y F. DEL CASTILLO (eds.), Simulating Prehistoric and Ancient Worlds, Springer International Publishing: 175-188. https://doi.org/10.1007/978-3-319-31481-5_4
OESTREICHER, C. (2007): A history of chaos theory, Dialogues in Clinical Neuroscience, 9 (3): 279-289. https://doi.org/10.31887/DCNS.2007.9.3/coestreicher
ORTEGA, D.; IBAÑEZ, J.J., KHALIDI, L., MÉNDEZ, V., CAMPOS, D., TEIRA, L. (2014): Towards a Multi-Agent-Based Modelling of Obsidian Exchange in the Neolithic Near East, Journal of Archaeological Method and Theory, 21 (2): 461-485. https://doi.org/10.1007/s10816-013-9196-1
PARDO-GORDÓ, S. (2017): Sistemas complejos adaptativos y simulación computacional en Arqueología, Trabajos de Prehistoria, 74 (1): 9-25.
PAVÓN, J., LÓPEZ-PAREDES, A.; GALAN, J.M. (2012): Modelado basado en agentes para el estudio de sistemas complejos (Agent Based Modeling for the Study of Complex Systems), SSRN Scholarly Paper, 2252909.
PEARL, J. (2009): Causality (Second Edition), Cambridge University Press.
PFADENHAUER, M.; KNOBLAUCH, H. (2018): Social Constructivism as Paradigm?: The Legacy of The Social Construction of Reality, Routledge.
PILETSKY, E. (2019): Consciousness and Unconsciousness of Artificial Intelligence, Future Human Image, 11: 66-71.
PrEMO, L.S.; TOSTEVIN, G.B. (2016): Cultural Transmission on the Taskscape: Exploring the Effects of Taskscape Visibility on Cultural Diversity, PloS One, 11 (9): e0161766. https://doi.org/10.1371/journal.pone.0161766
PRIGOGINE, I. (1991): New Perspectives on Complexity, en G.J. KLIR (ed.), Facets of Systems Science, Springer US: 483-492. https://doi.org/10.1007/978-1-4899-0718-9_33
RAILSBACK, S.F.; GRIMM, V. (2011): Agent-Based and Individual-Based Modeling: A Practical Introduction, Princeton University Press.
ROBINSON, D.T.; DI VITTORIO, A.; ALEXANDER, P.; ARNETH, A.; BARTON, C.M.; BROWN, D.G.; KETTNER, A.; LEMMEN, C.; O’NEILL, B.C.; JANSSEN, M.; PUGH, T.A.M.; RABIN, S. S.; ROUNSEVELL, M.; SYVITSKI, J.P.; ULLAH, I.; VERBURG, P.H. (2018): Modelling feedbacks between human and natural processes in the land system, Earth System Dynamics, 9 (2): 895-914. https://doi.org/10.5194/esd-9-895-2018
ROGERS, J.D. (2013): Pastoralist Mobility and Social Controls In Inner Asia: Experiments Using Agent-Based Modeling, Structure and Dynamics: eJournal of Anthropological and Related Sciences, 6 (2).
ROJAS CASTRO, A. (2013): Las Humanidades Digitales: Principios, valores y prácticas. https://ruc.udc.es/dspace/handle/2183/12655
ROMANOWSKA, I. (2020): From multi- to interdisciplinarity: A view from archaeology, en J. CARO, S. DÍAZ-DE LA FUENTE, V. AHEDO, D. ZURRO, M. MADELLA, J.M. GALÁN, L.R. IZQUIERDO, J. I. SANTOS y R. DEL OLMO (eds.), Terra Incognita: Libro blanco sobre transdisciplinariedad y nuevas formas de investigación en el Sistema Español de Ciencia y Tecnología, Pressbooks.
ROMANOWSKA, I.; CRABTREE, S.A.; HARRIS, K.; DAVIES, B. (2019): Agent-Based Modeling for Archaeologists: Part 1 of 3, Advances in Archaeological Practice, 7 (2): 178-184. https://doi.org/10.1017/aap.2019.6
ROMANOWSKA, I.; WREN, C.D.; CRABTREE, S.A. (2021): Agent-Based Modeling for Archaeology (Electronic): SFI Press. https://doi.org/10.37911/9781947864382
RUBIO-CAMPILLO, X. (2017): El papel de la simulación en la arqueología actual, en D. JIMÉNEZ-BADILLO (ed.), Arqueología computacional: Nuevos enfoques para la documentación, análisis y difusión del patrimonio cultural, Secretaría de Cultura-Instituto Nacional de Antropología e Historia: 51-58.
RUBIO-CAMPILLO, X.; CELA, J.M.; CARDONA, F.X.H. (2014): The development of new infantry tactics during the early eighteenth century: A computer simulation approach to modern military history, en S.J.E. TAYLOR (ed.), Agent-Based Modeling and Simulation, Palgrave Macmillan UK: 208-230. https://doi.org/10.1057/9781137453648_11
RUBIO-CAMPILLO, X.; MATÍAS, P.V.; BLE, E. (2015): Centurions in the Roman Legion: Computer Simulation and Complex Systems, The Journal of Interdisciplinary History, 46 (2): 245-263.
SAKAHIRA, F.; YAMAGUCHI, Y.; OSAWA, R.; KISHIMOTO, T.; OKUBO, T.; TERANO, T.; TSUMURA, H. (2020): Generating Hypotheses on Prehistoric Cultural Transformation with Agent-Based Evolutionary Simulation, en 2020 Winter Simulation Conference (WSC): 194-205. https://doi.org/10.1109/WSC48552.2020.9383855
SANTOS, J.I., PEREDA; M., ZURRO, D.; ÁLVAREZ, M.; CARO, J.; GALÁN, J.M.; BRIZ I GODINO, I. (2015): Effect of resource spatial correlation and hunter-fisher-gatherer mobility on social cooperation in Tierra del Fuego, PloS One, 10 (4): e0121888. https://doi.org/10.1371/journal.pone.0121888
SCHELLING, T.C. (1978): Micromotives and macrobehavior, Norton.
SCHUSTER, K.; DUNN, S. (eds.): (2020): Routledge International Handbook of Research Methods in Digital Humanities, Routledge. https://doi.org/10.4324/9780429777028
SMITH, M.E. (2015): How can archaeologists make better arguments, The SAA Archaeological Record, 15 (4): 18-23.
SNITKER, G. (2021): Evaluating the Influence of Neolithic Agropastoral Land Use on Holocene Fire Regimes Through Simulated Sedimentary Charcoal Records, en S. PARDO-GORDÓ y S. BERGIN (eds.), Simulating Transitions to Agriculture in Prehistory, Springer International Publishing: 165-193. https://doi.org/10.1007/978-3-030-83643-6_9
SORENSEN, A.C.; SCHERJON, F. (2018): fiReproxies: A computational model providing insight into heat-affected archaeological lithic assemblages, PloS One, 13 (5): e0196777. https://doi.org/10.1371/journal.pone.0196777
SOUSA, D.N.; CORREIA, L.; GARCIA-MARQUES, L. (2019): The importance of memory for the success of cooperation under ecological adversity, Adaptive Behavior, 28 (4): 1-4. https://doi.org/10.1177/1059712319872518
STEWART, P. (2001): Complexity Theories, Social Theory, and the Question of Social Complexity, Philosophy of the Social Sciences, 31 (3): 323-360. https://doi.org/10.1177/004839310103100303
STONEDAHL, F.; WILENSKY, U. (2010): NetLogo Artificial Anasazi model, Center for Connected Learning and Computer-Based Modeling, Northwestern University, https://ccl.northwestern.edu/netlogo/models/ArtificialAnasazi
SWEDLUND, A.C.; SATTENSPIEL, L.; WARREN, A.L.; GUMERMAN, G.J. (2015): Modeling Archaeology: Origins of the Artificial Anasazi Project and Beyond, en G. WURZER, K. KOWARIK y H. RESCHREITER (eds.), Agent-based Modeling and Simulation in Archaeology, Springer, Cham: 37-50. https://doi.org/10.1007/978-3-319-00008-4_2
TURCHIN, P.; CURRIE, T.E.; TURNER, E.A.L.; GAVRILETS, S. (2013): War, space, and the evolution of Old World complex societies, Pnas, 110 (41): 16384-16389. https://doi.org/10.1073/pnas.1308825110
ULLAH, I.I.T.; CHANG, C.; TOURTELLOTTE, P. (2019): Water, dust, and agro-pastoralism: Modeling socio-ecological co-evolution of landscapes, farming, and human society in southeast Kazakhstan during the mid to late Holocene, Journal of Anthropological Archaeology, 55: 101067. https://doi.org/10.1016/j.jaa.2019.101067
VARIEN, M.D.; ORTMAN, S.G.; KOHLER, T.A.; GLOWACKI, D.M.; JOHNSON, C.D. (2007): Historical Ecology in the Mesa Verde Region: Results from the Village Ecodynamics Project, American Antiquity, 72 (2): 273-299. https://doi.org/10.2307/40035814
VERHAGEN, P. (2019): Modelling the Dynamics of Demography in the Dutch Roman Limes Zone: A Revised Model, en P. VERHAGEN, J. JOYCE, y M. R. GROENHUIJZEN (eds.), Finding the Limits of the Limes: Modelling Demography, Economy and Transport on the Edge of the Roman Empire, Springer International Publishing: 43-59. https://doi.org/10.1007/978-3-030-04576-0_3
VINCK, D. (2018): Humanidades digitales: La cultura frente a las nuevas tecnologías, Editorial GEDISA.
WANG, H. (1955): On formalization, en Computation, Logic, Philosophy, Springer: 3-12.
WANGERSKY, P.J. (1978): Lotka-Volterra Population Models, Annual Review of Ecology and Systematics, 9: 189-218.
WATRALL, E. (2016): Archaeology, the Digital Humanities, and the “Big Tent”, en M.K. GOLD y L.F. KLEIN (eds.), Debates in the Digital Humanities 2016, University of Minnesota Press: 345-358. https://doi.org/10.5749/j.ctt1cn6thb.31
WENGER, E. (1999): Communities of Practice: Learning, Meaning, and Identity. Cambridge University Press.
WHITE, A.A. (2013): Subsistence economics, family size, and the emergence of social complexity in hunter–gatherer systems in eastern North America, Journal of Anthropological Archaeology, 32 (1): 122-163. https://doi.org/10.1016/j.jaa.2012.12.003
WILENSKY, U. (1997): NetLogo Wolf Sheep Predation model, Center for Connected Learning and Computer-Based Modeling, Northwestern University.
WILENSKY, U. (1999): NetLogo. Center for Connected Learning and Computer-Based Modeling, Northwestern University. https://ccl.northwestern.edu/netlogo/
WILENSKY, U.; REISMAN, K. (2006): Thinking Like a Wolf, a Sheep, or a Firefly: Learning Biology Through Constructing and Testing Computational Theories–An Embodied Modeling Approach, Cognition and Instruction, 24 (2): 171-209. https://doi.org/10.1207/s1532690xci2402_1
WINSBERG, E. (2010): Science in the Age of Computer Simulation, University of Chicago Press. https://doi.org/10.7208/chicago/9780226902050.001.0001
WOBST, H.M. (1997): Towards an “appropiate metrology” of human action in archaeology, en J. MCGLADE y S.E. VAN DER LEEUW (eds.), Time, Process, and Structured Transformation in Archaeology, Routledge: 426-448.
WOODWARD, J. (2014): Scientific Explanation, en L. SKLAR (ed.), Physical Theory: Method and Interpretation, Oxford University Press, Oxford: 9-39.
WURZER, G.; KOWARIK, K.; RESCHREITER, H. (eds.) (2015): Agent-based Modeling and Simulation in Archaeology, Geographic Information Science, 7, Springer International Publishing. https://doi.org/10.1007/978-3-319-00008-4
ZAHOOR, N., DONBESUUR, F.; CHRISTOFI, M.; MIRI, D. (2022): Technological innovation and employee psychological well-being: The moderating role of employee learning orientation and perceived organizational support, Technological Forecasting and Social Change, 179: 121610. https://doi.org/10.1016/j.techfore.2022.121610
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