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Introducing Qualitative and Social Science Factors in Archaeological Modelling: Necessity and Relevance

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Integrating Qualitative and Social Science Factors in Archaeological Modelling

Part of the book series: Computational Social Sciences ((SIPA))

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Abstract

Despite having been a pedigree stretching for several decades, computational approaches remain highly debated in archaeology, hailed by some as the future of the discipline and discarded by some as a poor, arrogant and overgeneralizing attempt at mimicking the past. This introductory chapter argues that traditional criticisms made at computational models stem from several fundamental misunderstandings. In particular, several archaeologists favouring either a more “social theory” perspective or a more “fieldwork first and avoid generalizing” approach have negatively commented upon what they perceived as simple models when compared to the complex, holistic nature of social life. We argue here that modelling scientific teams, combining archaeologists and modellers, are aware of these complexity and uncertainty and rather prefer to tackle it by explicitly focusing upon a minimal set of epistemological procedures, concepts and parameters, set in an explicitly formal environment. The implications of this epistemological standpoint are evaluated in view of the various contributions to this volume, presented at the end of this contribution.

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References

  • Amblard, F., Geller, A., Neumann, M., Srbljinovic, A., & Wijermans, N. (2010). Analyzing social conflict via computational social simulation: A review of approaches. NATO Science for Peace & Security Series, 75, 141. https://doi.org/10.1111/j.1468-2486.2009.00910.x.

    Article  Google Scholar 

  • Aoki, K., Shida, M., & Shigesada, N. (1996). Travelling wave solutions for the spread of farmers into a region occupied by hunter-gatherers. Theoretical Population Biology, 50(1), 1–17.

    Article  Google Scholar 

  • Barceló J.A., & del Castillo F. (2016). Simulating prehistoric and ancient worlds, Springer Computational Social Sciences. Springer, USA.

    Google Scholar 

  • Bentley, R. A., O’Brien, M. J., Manning, K., & Shennan, S. (2015). On the relevance of the European Neolithic. Antiquity, 89(347), 1203–1210.

    Article  Google Scholar 

  • Cegielski, W. H., & Rogers, J. D. (2016). Rethinking the role of agent-based modeling in archaeology. Journal of Anthropological Archaeology, 41, 283–298.

    Article  Google Scholar 

  • Clarke, D. L. (1968). Analytical archaeology. London: Methuen.

    Google Scholar 

  • Clarke, D. L. (1973). Archaeology: The loss of innocence. Antiquity, 47, 6–18.

    Article  Google Scholar 

  • Collier, N., Boedhihartono, A. K., & Sayer, J. (2009). Indigenous livelihoods and the global environment: Understanding relationships. Presented at the 18th World IMACS / MODSIM Congress, pp. 2833–2839.

    Google Scholar 

  • Davison, K., Dolukhanov, P., Sarson, G. R., & Shukurov, A. (2006). The role of waterways in the spread of the Neolithic. Journal of Archaeological Science, 33(5), 641–652.

    Article  Google Scholar 

  • Doran James Edward, Hodson Frank Roy. (1975). Mathematics and computers in archaeology. Harvard University Press.

    Google Scholar 

  • Drost, C. J., & Vander Linden, M. (2018). Toy Story: Homophily, transmission and the use of simple simulation models for assessing variability in the archaeological record. Journal of Archaeological Method and Theory. https://doi.org/10.1007/s10816-018-9394-y.

    Article  Google Scholar 

  • Edinborough, K., Crema, E. R., Kerig, T., & Shennan, S. (2015). An ABC of lithic arrowheads: A case study from southeastern France. In C. Brink, S. Hydén, K. Jennbert, L. Larsson, & D. Olausson (Eds.), Neolithic diversities perspectives from a conference in Lund, Sweden (Acta Archaeologica Lundensia) (Vol. 65, pp. 213–223).

    Google Scholar 

  • Edmonds, B., & Moss, S. (2005). From KISS to KIDS: An “anti-simplistic” modelling approach. Lecture Notes in Artificial Intelligence, 34, 130–144.

    Google Scholar 

  • Etienne, M., DuToit, D., & Pollard, S. (2011). ARDI: A co-construction method for participatory modelling in natural resources management. Ecology and Society, 16, 44.

    Article  Google Scholar 

  • Filho, H.S.B., Neto, F.B., Fusco, W., (2011). Migration and social networks — An explanatory multi-evolutionary agent-based model. In: Intelligent Agent (IA), 2011 IEEE Symposium. Intelligent Agent (IA), 2011 IEEE Symposium on, pp. 1–7. https://doi.org/10.1109/IA.2011.5953616

  • Fort, J., Pujol, T., & Vander, L. M. (2012). Modelling the neolithic transition in the Near East and Europe. American Antiquity, 77(2), 203–219.

    Article  Google Scholar 

  • Gabbriellini, S. (2014). The evolution of online forums as communication networks: An agent-based model. Revue Française de Sociologie, 55, 805–826. https://doi.org/10.3917/rfs.554.0805.

    Article  Google Scholar 

  • Gilbert Nigel. (2006). Sciences sociales computationnelles: simulation sociale multi-agents. In: Modélisation et simulations multi-agents: application pour les sciences de l’Homme et de la Société, Amblard Frédéric, Phan Denis, 141–59. Paris, France.

    Google Scholar 

  • Gilbert Nigel, Troitzsch Klaus G. (2005). Simulation for the Social Scientist. Open University Press, Glasgow, UK.

    Google Scholar 

  • Grosman Leore. (2016). Reaching the Point of No Return: The Computational Revolution in Archaeology. Annual Review of Anthropology 45, 1: 129–45. https://doi.org/10.1146/annurev-anthro-102215-095946.

    Article  Google Scholar 

  • Itan, Y., Powell, A., Beaumont, M. A., Burger, J., & Thomas, M. G. (2009). The origins of lactase persistence in Europe. Plos Computational Biology, 5(8), e1000491. https://doi.org/10.1371/journal.pcbi.1000491.

    Article  Google Scholar 

  • Kohler, T. A., & Gumerman, G. J. (2000). Dynamics in human and primate societies: Agent-based modeling of social and spatial processes. Oxford, UK: Oxford University Press.

    Google Scholar 

  • Kohler, T. A., & van der Leeuw, S. E. (2007). The model-based archaeology of socionatural systems. Oxford, UK: Oxbow Books Ltd.

    Google Scholar 

  • Kovačević, 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? In Learning strategies and cultural evolution during the paleolithic (pp. 103–120). Tokyo: Springer.

    Google Scholar 

  • Lake, M. W. (2014). Trends in archaeological simulation. Journal of Archaeological Method and Theory., 21, 258–287.

    Article  Google Scholar 

  • Lancelotti, C., Negre, J., Alcaina Mateos, J., & Carrer, F. (2017). Intra-site spatial analysis in ethnoarchaeology. Environmental Archaeology, 22(4). https://doi.org/10.1080/14614103.2017.1299908.

    Article  Google Scholar 

  • Lemieux, V. (1976). L’articulation des réseaux sociaux. Recherches sociographiques, 17, 247–260. https://doi.org/10.7202/055716ar.

    Article  Google Scholar 

  • Lycett, S. J., & Shennan, S. J. (2018). David Clarke’s analytical archaeology at 50. World Archaeology. https://doi.org/10.1080/00438243.2018.1470561.

    Article  Google Scholar 

  • Manzo, G., Gabbriellini, S., Roux, V., & Nkirote M’Mbogori, F. (2018). Complex contagions and the diffusion of innovations: Evidence from a small-N study. Journal of Archaeological Method and Theory. https://doi.org/10.1007/s10816-018-9393-z.

    Article  Google Scholar 

  • Mathieson, I., Lazaridis, I., Rohland, N., Mallick, S., Patterson, N., Roodenberg, S. A., et al. (2015). Genome-wide patterns of selection in 230 ancient Eurasians. Nature, 528(7583), 499–503.

    Article  Google Scholar 

  • Neumann, M., Braun, A., Heinke, E. M., Saqalli, M., & Srbljinovic, A. (2011). Challenges in modelling social conflicts: Grappling with polysemy. Journal of Artificial Societies & Social Simulations, 14, 9.

    Article  Google Scholar 

  • Neumann, M., & Lotzmann, U. (2016). Simulation and interpretation: A research note on utilizing qualitative research in agent-based simulation. Journal of Swarm Intelligence and Evolutionary, 5. https://doi.org/10.4172/2090-4908.1000129.

  • O’Brien, M. J., & Bentley, R. A. (2015). The role of food storage in human niche construction: An example from Neolithic Europe. Environmental Archaeology, 20(4), 364–378.

    Article  Google Scholar 

  • Polhill, G. J., Sutherland, L. A., & Gotts, N. M. (2010). Using qualitative evidence to enhance an agent-based modelling system for studying land use change. Journal of Artificial Societies & Social Simulations, 13, 10.

    Article  Google Scholar 

  • Read, D. (1998). Kinship based demographic simulation of societal processes. Journal of Artificial Societies and Social Simulation. www.soc.surrey.ac.uk/JASSS/1/1/1.html

  • Read, D., & LeBlanc, S. (2003). Population growth, carrying capacity, and conflict. Current Anthropology., 44(1), 59–85.

    Article  Google Scholar 

  • Read, D. (2006). Kinship Algebra Expert System (KAES): A software implementation of a cultural theory. Social Science Computer Review, 24(1), 43–67.

    Article  Google Scholar 

  • Read, D. (2009). Agent-based and multi-agent simulations: Coming of age or in search of an identity? Computational and Mathematical Organization Theory, 16, 329–347.

    Article  Google Scholar 

  • Read, D., Fischer, M., & Leaf, M. (2013). What are kinship terminologies, and why do we care? A computational approach to analysing symbolic domains. Social Science Computer Review, 31(1), 16–44.

    Article  Google Scholar 

  • Rouchier, J., & Requier-Desjardins, M. (2000). La modélisation comme soutien à l’interdisciplinarité en recherche-développement. Une application au pastoralisme soudano-sahélien. Nature, Sciences & Société, 8, 61–67.

    Article  Google Scholar 

  • Roux, V., Bril, V., & Dietrich, G. (1995). Skills and learning difficulties involved in stone knapping: The case of stone-bead knapping in Khambat, India. World Archaeology, 27, 63–87.

    Article  Google Scholar 

  • Roux, V., & Corbetta, D. (1989). The Potter’s wheel. Craft specialization and technological competence. Oxford: IBH Publishing.

    Google Scholar 

  • Roux, V., Bril, B., & Karasik, A. (2018). Weak ties and expertise: Crossing technological boundaries. Journal of Archaeological Method and Theory, 25, 1024. https://doi.org/10.1007/s101816-018-9397-9.

    Article  Google Scholar 

  • Saqalli, M., Gérard, B., Bielders, C. L., & Defourny, P. (2010). Testing the impact of social forces on the evolution of Sahelian farming systems: A combined agent-based modeling and anthropological approach. Ecological Modelling, 221, 2714–2727. https://doi.org/10.1016/j.ecolmodel.2010.08.004.

    Article  Google Scholar 

  • Saqalli, M., Salavert, A., Bréhard, S., Bendrey, R., Vigne, J.-D., & Tresset, A. (2014). Revisiting and modelling the woodland farming system of the early Neolithic Linear Pottery Culture (LBK), 5600–4900 BC. Vegetation History and Archaeobotany, 23(S1), 37–50.

    Article  Google Scholar 

  • Saqalli Mehdi, Baum Tilman Georg. (2016). Pathways for scale and discipline reconciliation: Current socioecological modelling methodologies to explore and reconstitute human prehistoric dynamics. In: Simulating prehistoric and ancient worlds, Barceló Juan Antonio, del Castillo Florencia, 233‑55. Springer Computational Social Sciences. Springer.

    Google Scholar 

  • Shennan, S., & Steele, J. (2005). The archaeology of human ancestry power, sex and tradition. London: Routledge.

    Book  Google Scholar 

  • Steele, J. (2009). Human dispersals: Mathematical models and the archaeological record dispersal models and case studies: Fisher-Skellam-KPP. Human Biology, 81, 121–140.

    Article  Google Scholar 

  • Steele, J., & Shennan, S. (2009). Introduction: Demography and cultural macroevolution. Human Biology, 81, 105–119.

    Article  Google Scholar 

  • Thiriot, S. (2018). Word-of-mouth dynamics with information seeking: Information is not (only) epidemics. Physica A: Statistical Mechanics and its Applications, 49(2), 418–430. https://doi.org/10.1016/j.physa.2017.09.056.

    Article  Google Scholar 

  • Vander Linden, M. (2017). Reaction to a reactionary text. Norwegian Archaeological Review, 50(2), 127–129.

    Article  Google Scholar 

  • Vander Linden, M., & Silva, F. (2018). Comparing and modeling the spread of early farming across Europe. PAGES News, 26(1), 28–29.

    Article  Google Scholar 

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Vander Linden, M., Saqalli, M. (2019). Introducing Qualitative and Social Science Factors in Archaeological Modelling: Necessity and Relevance. In: Saqalli, M., Vander Linden, M. (eds) Integrating Qualitative and Social Science Factors in Archaeological Modelling. Computational Social Sciences(). Springer, Cham. https://doi.org/10.1007/978-3-030-12723-7_1

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  • DOI: https://doi.org/10.1007/978-3-030-12723-7_1

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