Skip to main content

Explaining the Past with ABM: On Modelling Philosophy

  • Chapter
  • First Online:
Agent-based Modeling and Simulation in Archaeology

Part of the book series: Advances in Geographic Information Science ((AGIS))

Abstract

This chapter discusses some of the conceptual issues surrounding the use of agent-based modelling in archaeology. Specifically, it addresses three questions: Why use agent-based simulation? Does specifically agent-based simulation imply a particular view of the world? How do we learn by simulating? First, however, it will be useful to provide a brief introduction to agent-based simulation and how it relates to archaeological simulation more generally. Some readers may prefer to return to this chapter after having read a more detailed account of an exemplar (Chap. 2) or of the technology (Chap. 3). Textbooks on agent-based modelling include Grimm and Railsback [(2005) Individual-based modeling and ecology, Princeton University Press, Princeton] and Railsback and Grimm [(2012) Agent-based and individual-based modeling: a practical introduction, Princeton University Press, Princeton], both aimed at ecologists, the rather briefer [Gilbert (2008) Agent-based models. Quantitative applications in the social sciences, Sage, Thousand Oaks, CA], aimed at sociologists, and [Ferber (1999) Multi-agent systems: an introduction to distributed artificial intelligence, English edn. Addison-Wesley, Harlow], which treats agent-based simulation from the perspective of artificial intelligence and computer science.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    Although agent-based modelling also has semi-independent roots in ecological modelling, where, as individual-based modelling the initial focus was on the importance of organism heterogeneity and spatial localism (DeAngelis and Gross 1992, p.xv).

References

  • Aldenderfer MS (1981) Creating Assemblages by Computer Simulation: The Development and Uses of ABSIM. In: Sabloff JA (ed) Simulations in Archaeology, University of New Mexico, Albuquerque, pp 11–49

    Google Scholar 

  • Aldenderfer MS (1998) Quantitative methods in archaeology: A review of recent trends and developments. J Archaeol Res 6:91–120

    Google Scholar 

  • Allen P, McGlade J (1987) Evolutionary drive: the effect of microscopic diversity. Found Phys 17:723–738

    Google Scholar 

  • Allen PM, Strathern M, Baldwin JS (2006) Evolutionary drive: new understandings of change in socio-economic systems. Emergence 8(2):2–19

    Google Scholar 

  • Altaweel M, Alessa L, Kliskey A, Bone C (2010) A framework to structure agent-based modeling data for social-ecological systems. Struct Dynamics 4(1):article 2, URL http://escholarship.org/uc/temporary?bpid=1061732

  • Archer M (2000) Being Human: The Problem of Agency. Cambridge University Press, Cambridge

    Google Scholar 

  • Arrow K (1994) Methodological individualism and social knowledge. Am Econ Rev 84(2):1–9

    Google Scholar 

  • Auyang SY (1998) Foundations of Complex-System Theories: In Economics, Evolutionary Biology, and Statistical Physics. Cambridge University Press, Cambridge

    Google Scholar 

  • Averill JR (1990) A Constructivist View of Emotion. In: Plutchik R, Kellerman H (eds) Emotion: Theory, Research and Experience, vol 1. Academic Press, New York, pp 305–339

    Google Scholar 

  • Axtell RL, Epstein JM, Dean JS, Gumerman GJ, Swedlund AC, 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. Proc Natl Acad Sci USA 99(3):7275–7279. DOI 10.1073/ pnas.092080799

    Google Scholar 

  • Barrett JC (2001) Agency, the Duality of Structure and the Problem of the Archaeological Record. In: Hodder I (ed) Archaeological Theory Today. Polity Press, Cambridge, pp 141–164

    Google Scholar 

  • Barton C, Ullah I, Mitasova H (2010a) Computational modeling and Neolithic socioecological dynamics: a case study from southwest Asia. Am Antiq 75(2):364–386. URL http://saa.metapress.com/index/1513054509884014.pdf

  • Barton CM (2013) Stories of the Past or Science of the Future? Archaeology and Computational Social Science. In: Bevan A, Lake M (eds) Computational Approaches to Archaeological Spaces Left Coast Press, Walnut Creek, CA, pp 151–178.

    Google Scholar 

  • Barton CM, Ullah II, Bergin S (2010b) Land use, water and Mediterranean landscapes: modelling long-term dynamics of complex socio-ecological systems. Phil Trans Roy Soc A Math Phys Eng Sci 368(1931):5275–5297. URL http://rsta.royalsocietypublishing.org/content/368/1931/5275.short

  • Bedau MA (2008) Downward Causation and Autonomy in Weak Emergence. In: Bedau MA, Humphreys P (eds) Emergence: Contemporary Readings in Philosophy and Science. MIT Press, Cambridge, MA, pp 155–188

    Google Scholar 

  • Bedau MA, Humphreys P (2008) Introduction. In: Bedau MA, Humphreys P (eds) Emergence: Contemporary Readings in Philosophy and Science. MIT Press, Cambridge, MA, pp 1–6

    Google Scholar 

  • Beekman CS (2005) Agency, Collectivities and Emergence: Social Theory and Agent Based Simulations. In: Beekman CS, Baden WW (eds) Nonlinear Models for Archaeology and Anthropology. Ashgate, Aldershot, pp 51–78

    Google Scholar 

  • Beekman CS, Baden WW (2005) Continuing the Revolution. In: Beekman CS, Baden WW (eds) Nonlinear Models for Archaeology and Anthropology. Ashgate, Aldershot, pp 1–12

    Google Scholar 

  • Belovsky GE (1987) Hunter-gatherer foraging: A linear programming approach. J Anthropol Archaeol 6(1):29–76. URL http://www.sciencedirect.com/science/article/pii/027841658790016X

  • Bentley A, Ormerod P (2012) Agents, Intelligence, and Social Atoms. In: Collard M, Slingerland E (eds) Creating Consilience: Reconciling Science and the Humanities. Oxford University Press, Oxford, pp 205–222. URL http://books.google.com/books?hl=en&lr=&id=rERUMR0tek8C&oi=fnd&pg=PA205&dq=Agents,+intelligence,+and+social+atoms&ots=mexDG9rPbj&sig=w5Lq0JfO7-qaZDu4HTkmFnNjTSQ

  • Bentley R, Lipo C, Herzog H, Hahn M (2007) Regular rates of popular culture change reflect random copying. Evol Hum Behav 28(3):151–158. URL http://www.sciencedirect.com/science/article/pii/S109051380600095X

  • Bentley RA, Hahn MW, Shennan SJ (2004) Random drift and culture change. Proc Roy Soc Lond B 271:1443–1450

    Google Scholar 

  • Bentley RA, Lake MW, Shennan SJ (2005) Specialisation and wealth inequality in a model of a clustered economic network. J Archaeol Sci 32:1346–1356

    Google Scholar 

  • Binford LR (1981) Bones: Ancient Men and Modern Myths. Academic Press, New York

    Google Scholar 

  • Biskowski M (1992) Cultural Change, the Prehistoric Mind, and Archaeological Simulations. In: Reilly P, Rahtz S (eds) Archaeology and the Information Age. Routledge, London, pp 212–229

    Google Scholar 

  • Bourdieu P (1977) Outline of a Theory of Practice. Cambridge University Press, Cambridge

    Google Scholar 

  • Cañamero D (1997) Modeling Motivations and Emotions as a Basis for Intelligent Behaviour. In: Johnson WL (ed) Proceedings of the First International Conference on Autonomous Agents. ACM Press, New York, pp 148–155

    Google Scholar 

  • Cañamero D, de Velde WV (2000) Emotionally Grounded Social Interaction. In: Dautenhahn K (ed) Human Cognition and Social Agent Technology. John Benjamins Publishing, Amsterdam, pp 137–162

    Google Scholar 

  • Cañamero L, Aylett R (eds) (2008) Animating Expressive Characters for Social Interaction. John Benjamins Publishing, Amsterdam

    Google Scholar 

  • Ch’ng E (2007) Using games engines for archaeological visualisation: Recreating lost worlds. In: Proceedings of CGames 2007 (11th International Conference on Computer Games: AI, Animation, Mobile, Educational & Serious Games), La Rochelle, France (2007), vol 7, pp 26–30

    Google Scholar 

  • Ch’ng E, Chapman H, Gaffney V, Murgatroyd P, Gaffney C, Neubauer W (2011) From sites to landscapes: How computing technology is shaping archaeological practice. Computer 44(7):40–46. URL http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5871564

  • Clark JE (2000) Towards a Better Explanation of Hereditary Inequality: A Critical Assessment of Natural and Historic Human Agents. In: Dobres MA, Robb JE (eds) Agency in Archaeology. Routledge, London, pp 92–112

    Google Scholar 

  • Clarke DL (ed) (1972) Models in Archaeology. Methuen, London

    Google Scholar 

  • Conte R, Gilbert N (1995) Introduction: Computer Simulation for Social Theory. In: Gilbert N, Conte R (eds) Artificial Societies: The Computer Simulation of Social Life. UCL Press, London, pp 1–18

    Google Scholar 

  • Cornell S, Costanza R, Sörlin S, van der Leeuw S (2010) Developing a systematic “science of the past” to create our future. Global Environ Change 20(3):426–427

    Google Scholar 

  • Costopoulos A (2001) Evaluating the impact of increasing memory on agent behaviour: Adaptive patterns in an agent-based simulation of subsistence. J Artif Soc Soc Simulat 4. URL http://jasss.soc.surrey.ac.uk/4/4/7.html, http://www.soc.surrey.ac.uk/JASSS/4/4/7.html

  • Costopoulos A (2009) Simulating Society. In: Maschner H, Bentley RA, Chippindale C (eds) Handbook of Archaeological Theories. Altamira Press, Lanham, Maryland, pp 273–281

    Google Scholar 

  • Cowgill GE (2000) “Rationality” and Contexts in Agency Theory. In: Dobres MA, Robb JE (eds) Agency in Archaeology. Routledge, London, pp 51–60

    Google Scholar 

  • Crema ER (2013) A simulation model of fission-fusion dynamics and long-term settlement change. J Archaeol Method Theory. DOI: 10.1007/s10816-013-9185-4

    Google Scholar 

  • Crutchfield JP (2008) Is Anything Ever New? Considering Emergence. In: Bedau MA, Humphreys P (eds) Emergence: Contemporary Readings in Philosophy and Science. MIT Press, Cambridge, MA, pp 269–286, originally published in Cowan, Pines and Meltzer eds, 1999, Complexity: Metaphors, Models and Reality, Westview Press

    Google Scholar 

  • Dean JS, Gumerman GJ, Epstein JM, Axtell RL, Swedlund AC, Parker MT, McCarroll S (2000) Understanding Anasazi Culture Change Through Agent-Based Modeling. In: Kohler TA, Gumerman GJ (eds) Dynamics in Human and Primate Societies: Agent-Based Modelling of Social and Spatial Processes. Santa Fe Institute Studies in the Sciences of Complexity. Oxford Univesity Press, New York, pp 179–205

    Google Scholar 

  • DeAngelis DL, Gross LJ (1992) Individual-Based Models and Approaches in Ecology: Populations, Communities and Ecosystems. Chapman & Hall, New York

    Google Scholar 

  • Doran JE (1970) Systems theory, computer simulations, and archaeology. World Archaeol 1:289–298

    Google Scholar 

  • Doran JE (2000) Trajectories to Complexity in Artificial Societies: Rationality, Belief and Emotions. In: Kohler TA, Gumerman GJ (eds) Dynamics in Human and Primate Societies: Agent-Based Modelling of Social and Spatial Processes. Oxford University Press, New York, pp 89–144

    Google Scholar 

  • Doran JE, Hodson FR (1975) Mathematics and Computers in Archaeology. Edinburgh University Press, Edinburgh

    Google Scholar 

  • Doran JE, Palmer M (1995) The EOS Project: Integrating Two Models of Palaeolithic Social Change. In: Gilbert N, Conte R (eds) Artificial Societies: The Computer Simulation of Social Life. UCL Press, London, pp 103–125

    Google Scholar 

  • Doran JE, Palmer M, Gilbert N, Mellars P (1994) The EOS Project: Modelling Upper Palaeolithic Social Change. In: Gilbert N, Doran J (eds) Simulating Societies. UCL Press, London, pp 195–221

    Google Scholar 

  • Dornan JL (2002) Agency and archaeology: past, present, and future directions. J Archaeol Method Theory 9(4):303–329. URL http://link.springer.com/article/10.1023/A:1021318432161

  • Durkheim E (2004) Readings from Emile Durkheim. Routledge, New York. Edited by Kenneth Thompson

    Google Scholar 

  • Eerkens JW, Bettinger RL, McElreath R (2005) Cultural Transmission, Phylogenetics, and the Archaeological Record. In: Lipo CP, O’Brien MJ, Collard M, Shennan SJ (eds) Mapping Our Ancestors: Phylogenic Methods in Anthropology and Prehistory. Transaction Publishers, Somerset, NJ, pp 169–183

    Google Scholar 

  • Epstein JM, Axtell R (1996) Growing Artificial Societies: Social Science from the Bottom Up. Brookings Press and MIT Press, Washington

    Google Scholar 

  • Ferber J (1999) Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence, english edn. Addison-Wesley, Harlow

    Google Scholar 

  • Fraassen B (1980) The Scientific Image. Clarendon Press, Oxford

    Google Scholar 

  • Frijda NH (1987) The Emotions. Cambridge University Press, Cambridge

    Google Scholar 

  • Frijda NH (1995) Emotions in Robots. In: Roitblat HL, Meyer JA (eds) Comparative Approaches to Cognitive Science. MIT Press, Cambridge, MA, pp 501–516

    Google Scholar 

  • Frijda NH, Swagerman J (1987) Can computers feel? Theory and design of an emotional system. Cognit Emot 1:235–257

    Google Scholar 

  • Gaffney V, van Leusen PM (1995) Postscript—GIS, Environmental Determinism and Archaeology: A Parallel Text. In: Lock GR, Stančič Z (eds) Archaeology and Geographical Information Systems: A European Perspective. Taylor & Francis, London, pp 367–382

    Google Scholar 

  • Giddens A (1984) The Constitution of Society: Outline of a Theory of Structuration. Polity Press, Cambridge

    Google Scholar 

  • Gilbert N (1995) Emergence in Social Simulation. In: Gilbert N, Conte R (eds) Artificial Societies: The Computer Simulation of Social Life. U.C.L. Press, London, pp 144–156

    Google Scholar 

  • Gilbert N (2008) Agent-Based Models. Quantitative Applications in the Social Sciences. Sage, Thousand Oaks, CA, URL http://books.google.co.uk/books?id=Z3cp0ZBK9UsC

  • Gould SJ (1989) Wonderful Life: The Burgess Shale and the Nature of History, paperback edn. Vintage, London

    Google Scholar 

  • Grimm V, Railsback S (2005) Individual-Based Modeling and Ecology. Princeton University Press, Princeton

    Google Scholar 

  • Grimm V, Revilla E, Berger U, Jeltsch F, Mooij WM, Railsback SF, Thulke HH, Weiner J, Wiegand T, DeAngelis DL (2005) Pattern-oriented modeling of agent-based complex systems: lessons from ecology. Science 310(5750):987–991. URL http://www.sciencemag.org/content/310/5750/987.short

  • Gumerman GJ, Kohler TA (2001) Creating Alternative Cultural Histories in the Prehistoric Southwest: Agent-Based Modelling in Archaeology. In: Examining the Course of Southwest Archaeology: The Durango Conference, September 1995, New Mexico Archaeological Council, Albuquerque, pp 113–124

    Google Scholar 

  • Hodder I (2001) Introduction: A Review of Contemporary Theoretical Debates in Archaeology. In: Hodder I (ed) Archaeological Theory Today. Polity Press, Cambridge, pp 1–13

    Google Scholar 

  • Innis GS (1972) Simulation of ill-defined systems, some problems and progress. Simulation 19:33–36

    Google Scholar 

  • Johnson CD, Kohler TA (2012) Modeling Plant and Animal Productivity and Fuel Use. In: Kohler TA, Varien MD, Wright AM (eds) Emergence and Collapse of Early Villages: Models of Central Mesa Verde Archaeology. University of California Press, Berkeley, pp 113–128

    Google Scholar 

  • Kachel AF, Premo LS, Hublin JJ (2011) Grandmothering and natural selection. Proc Roy Soc B Biol Sci 278(1704):384–391. URL http://rspb.royalsocietypublishing.org/content/278/1704/384.short

  • Kelley JH, Hanen MP (1988) Archaeology and the Methodology of Science. University of New Mexico Press, Albuquerque

    Google Scholar 

  • King A (1999) Against structure: a critique of morphogenetic social theory. Socio Rev 47(2):199–227. URL http://onlinelibrary.wiley.com/doi/10.1111/1467-954X.00170/abstract

  • Kobti Z (2012) Simulating Household Exchange with Cultural Algorithms. In: Kohler TA, Varien MD (eds) Emergence and Collapse of Early Villages: Models of Central Mesa Verde Archaeology. University of California Press, Berkeley, pp 165–174

    Google Scholar 

  • Kohler TA (2000) Putting Social Sciences Together Again: An Introduction to the Volume. In: Kohler TA, Gumerman GJ (eds) Dynamics in Human and Primate Societies: Agent-Based Modelling of Social and Spatial Processes. Santa Fe Institute Studies in the Sciences of Complexity. Oxford University Press, New York, pp 1–44

    Google Scholar 

  • Kohler TA, Gumerman GJ (eds) (2000) Dynamics in Human and Primate Societies: Agent Based Modeling of Social and Spatial Processes. Oxford University Press, Oxford

    Google Scholar 

  • Kohler TA, van der Leeuw SE (2007a) Introduction: Historical Socionatural Systems and Models. In: Kohler TA, van der Leeuw SE (eds) The Model-Based Archaeology of Socionatural Systems. School for Advanced Research Press, Santa Fe, pp 1–12

    Google Scholar 

  • Kohler TA, van der Leeuw SE (eds) (2007b) The Model-Based Archaeology of Socionatural Systems. School for Advanced Research Press, Santa Fe

    Google Scholar 

  • Kohler TA, Varien MD (2012) Emergence and Collapse of Early Villages in the Central Mesa Verde: An Introduction. In: Emergence and Collapse of Early Villages in the Central Mesa Verde: Models of Central Mesa Verde Archaeology. University of California Press, Berkeley, pp 1–14

    Google Scholar 

  • Kohler TA, Kresl J, West CV, Carr E, Wilshusen RH (2000) Be There Then: A Modeling Approach to Settlement Determinants and Spatial Efficiency Among Late Ancestral Pueblo Populations of the Mesa Verde Region, U.S. Southwest. In: Kohler TA, Gumerman GJ (eds) Dynamics in Human and Primate Societies. Santa Fe Institute Studies in the Sciences of Complexity. Oxford University Press, New York, pp 145–178

    Google Scholar 

  • Kohler TA, Gumerman GJ, Reynolds RG (2005) Simulating ancient societies. Sci Am 293:76–84

    Google Scholar 

  • Kohler TA, Bocinsky RK, Cockburn D, Crabtree SA, Varien MD, Kolm KE, Smith S, Ortman SG, Kobti Z (2012a) Modelling prehispanic Pueblo societies in their ecosystems. Ecol Model 241:30–41. URL http://www.sciencedirect.com/science/article/pii/S0304380012000038

  • Kohler TA, Cockburn D, Hooper PL, Bocinsky RK, Kobti Z (2012b) The coevolution of group size and leadership: an agent-based public goods model for prehispanic pueblo societies. Adv Complex Syst 15(1 & 2):1150,007–1–1150,007–29. DOI 10.1142/S0219525911003256. URL http://www.worldscientific.com/doi/abs/10.1142/S0219525911003256

  • Kolm KE, Smith SM (2012) Modeling Paleohydrological System Strucure and Function. In: Kohler TA, Varien MD, Wright AM (eds) Emergence and Collapse of Early Villages: Models of Central Mesa Verde Archaeology. University of California Press, Berkeley, pp 73–83

    Google Scholar 

  • Laird J (1919) The law of parsimony. Monist 29(3):321–344. URL http://www.jstor.org/stable/27900747

  • Lake MW (2000) MAGICAL Computer Simulation of Mesolithic Foraging. In: Kohler TA, Gumerman GJ (eds) Dynamics in Human and Primate Societies: Agent-Based Modelling of Social and Spatial Processes. Oxford University Press, New York, pp 107–143

    Google Scholar 

  • Lake MW (2001a) Numerical Modelling in Archaeology. In: Brothwell DR, Pollard AM (eds) Handbook of Archaeological Sciences. Wiley, Chichester, pp 723–732

    Google Scholar 

  • Lake MW (2001b) The use of pedestrian modelling in archaeology, with an example from the study of cultural learning. Environ Plann B Plann Des 28:385–403

    Google Scholar 

  • Lake MW (2004) Being in a Simulacrum: Electronic Agency. In: Gardner A (ed) Agency Uncovered: Archaeological Perspectives on Social Agency, Power and Being Human. UCL Press, London, pp 191–209

    Google Scholar 

  • Lake MW (2010) The Uncertain Future of Simulating the Past. In: Costopoulos A, Lake M (eds) Simulating Change: Archaeology into the Twenty-First Century. University of Utah Press, Salt Lake City, pp 12–20

    Google Scholar 

  • Lake MW (2014) Trends in archaeological simulation. J Archaeol Method Theory. DOI 10.1007/s10816-013-9188-1, URL http://www.springerlink.com/openurl.asp?genre=article&id=doi:10.1007/s10816-013-9188-1

  • Lake MW, Crema ER (2012) The cultural evolution of adaptive-trait diversity when resources are uncertain and finite. Adv Complex Syst 15(1 & 2):1150,013–1–1150,013–19. DOI 10.1142/S0219525911003323, URL http://dx.doi.org/10.1142/S0219525911003323

  • van der Leeuw S, Redman CL (2002) Placing archaeology at the center of socio-natural studies. Am Antiq 67(4):597–605

    Google Scholar 

  • van der Leeuw SE (2008) Climate and society: lessons from the past 10000 years. AMBIO: A J Hum Environ 37(sp14):476–482. URL http://www.bioone.org/doi/abs/10.1579/0044-7447-37.sp14.476

  • Levins R (1966) The strategy of model building in population biology. Am Sci 54(4):421–431. URL http://www.jstor.org/stable/10.2307/27836590

  • May RM (1976) Simple mathematical models with very complicated dynamics. Nature 261:459–467

    Google Scholar 

  • McGlade J (1995) Archaeology and the ecodynamics of human-modified landscapes. Antiquity 69:113–132

    Google Scholar 

  • McGlade J (1997) The Limits of Social Control: Coherence and Chaos in a Prestige-Goods Economy. In: van der Leeuw SE, McGlade J (eds) Time, Process and Structured Transformation in Archaeology. Routledge, London, pp 298–330

    Google Scholar 

  • McGlade J (2005) Systems and Simulacra: Modeling, Simulation, and Archaeological Interpretation. In: Maschner HDG, Chippindale C (eds) Handbook of Archaeological Methods. Altamira Press, Oxford, pp 554–602

    Google Scholar 

  • Mithen S, Reed M (2002) Stepping out: A computer simulation of hominid dispersal from Africa. J Hum Evol 43:433–462

    Google Scholar 

  • Mithen SJ (1987) Modelling decision making and learning by low latitude hunter gatherers. Eur J Oper Res 30(3):240–242. URL http://www.sciencedirect.com/science/article/pii/0377221787900646

  • Mithen SJ (1988) Simulation as a Methodological Tool: Inferring Hunting Goals from Faunal Assemblages. In: Ruggles CLN, Rahtz SPQ (eds) Computer Applications and Quantitative Methods in Archaeology 1987, no. 393 in International Series, British Archaeological Reports, pp 119–137

    Google Scholar 

  • Mithen SJ (1989) Modeling hunter-gatherer decision making: complementing optimal foraging theory. Hum Ecol 17:59–83. URL http://www.jstor.org/stable/4602911

  • Mithen SJ (1990) Thoughtful Foragers: A Study of Prehistoric Decision Making. Cambridge University Press, Cambridge

    Google Scholar 

  • Mithen SJ (1991) ‘A cybernetic wasteland’? Rationality, emotion and Mesolithic foraging. Proc Prehistoric Soc 57:9–14

    Google Scholar 

  • Mithen SJ (1994) Simulating Prehistoric Hunter-Gatherers. In: Gilbert N, Doran J (eds) Simulating Societies: The Computer Simulation of Social Phenomena. UCL Press, London, pp 165–193

    Google Scholar 

  • Nikitas P, Nikita E (2005) A study of hominin dispersal out of Africa using computer simulations. J Hum Evol 49:602–617

    Google Scholar 

  • Oatley K, Johnson-Laird P (1987) Towards a cognitive theory of emotions. Cognit Emot 1:1–29

    Google Scholar 

  • Odling-Smee FJ, Laland KN, Feldman MW (2003) Niche Construction: The Neglected Process in Evolution. Princeton University Press, Princeton, NJ

    Google Scholar 

  • O’Meara T (1997) Causation and the struggle for a science of culture. Curr Anthropol 38(3):399–418. URL http://www.jstor.org/stable/10.1086/204625

  • Orton C (1982) Computer simulation experiments to assess the performance of measures of quantity of pottery. World Archaeol 14:1–19

    Google Scholar 

  • O’Sullivan D, Haklay M (2000) Agent-based models and individualism: Is the world agent-based? Environ Plann A 32:1409–1425. URL http://www.envplan.com.libproxy.ucl.ac.uk/epa/abstracts/a32/a32140.html

  • Pickles J (1999) Arguments, Debates, and Dialogues: The GIS-Social Theory Debate and the Concern for Alternatives. In: Longley PA, Goodchild MF, Maguire DJ, Rhind DW (eds) Geographical Information Systems: Principles, Techniques, Applications, and Management. Wiley, New York, pp 49–60

    Google Scholar 

  • Pinker S (2002) The Blank Slate: The Modern Denial of Human Nature. Viking, New York

    Google Scholar 

  • Piou C, Berger U, Grimm V (2009) Proposing an information criterion for individual-based models developed in a pattern-oriented modelling framework. Ecol Modell 220(17):1957–1967. URL http://www.sciencedirect.com/science/article/pii/S030438000900324X

  • Powell A, Shennan S, Thomas MG (2009) Late Pleistocene demography and the appearance of modern human behavior. Science 324:1298–1301

    Google Scholar 

  • Premo LS (2005) Patchiness and Prosociality: An Agent-Based Model of Plio/Pleistocene Hominid Food Sharing. In: Davidsson P, Takadama K, Logan B (eds) MABS 2004, Lecture Notes in Artificial Intelligence, vol 3415. Springer, Berlin, pp 210–224

    Google Scholar 

  • Premo LS (2007) Exploratory Agent-Based Models: Towards an Experimental Ethnoarchaeology. In: Clark JT, Hagemeister EM (eds) Digital Discovery: Exploring New Frontiers in Human Heritage. CAA 2006. Computer Applications and Quantitative Methods in Archaeology, Archeolingua Press, Budapest, pp 29–36

    Google Scholar 

  • Premo LS (2008) Exploring Behavioral Terra Incognita with Archaeological Agent-Based Models. In: Frischer B, Dakouri-Hild A (eds) Beyond Illustration: 2D and 3D Technologies as Tools of Discovery in Archaeology. British Archaeological Reports International Series. ArchaeoPress, Oxford, pp 46–138

    Google Scholar 

  • Premo LS (2010) Equifinality and Explanation: The Role of Agent-Based Modeling in Postpositivist Archaeology. In: Costopoulos A, Lake M (eds) Simulating Change: Archaeology into the Twenty-First Century. University of Utah Press, Salt Lake City, pp 28–37

    Google Scholar 

  • Premo LS (2012) Local extinctions, connectedness, and cultural evolution in structured populations. Adv Complex Syst 15(1&2):1150,002–1–1150,002–18. DOI 10.1142/S0219525911003268, URL http://www.worldscientific.com/doi/abs/10.1142/S0219525911003268

  • Premo LS, Scholnick JB (2011) The spatial scale of social learning affects cultural diversity. Am Antiq 76(1):163–176. URL http://saa.metapress.com/index/A661T246K0J1227K.pdf

  • Premo LS, Murphy JT, Scholnick JB, Gabler B, Beaver J (2005) Making a case for agent-based modeling. Soc Archaeol Sci Bull 28(3):11–13

    Google Scholar 

  • Preston J (2014) Positivist and post-positivist philosophy of science. In: Oxford Handbook of Archaeological Theory. Oxford University Press, Oxford

    Google Scholar 

  • Railsback SF, Grimm V (2012) Agent-Based and Individual-Based Modeling: A Practical Introduction. Princeton University Press, Princeton

    Google Scholar 

  • Renfrew AC (1981) The Simulator as Demiurge. In: Sabloff JA (ed) Simulations in Archaeology. University of New Mexico Press, Albuquerque, pp 283–306

    Google Scholar 

  • Renfrew C (1994) Towards a Cognitive Archaeology. In: Renfrew C, Zubrow EBW (eds) The Ancient Mind: Elements of a Cognitive Archaeology. Cambridge University Press, Cambridge, pp 3–12

    Google Scholar 

  • Renfrew C, Poston T (1979) Discontinuities in the endogeneous change of settlement pattern. In: Transformations: Mathematical Approaches to Culture Change. Academic Press, New York, pp 437–461

    Google Scholar 

  • Reynolds RG (1987) A production system model of hunter-gatherer resource scheduling adaptations. Eur J Oper Res 30(3):237–239. URL http://www.sciencedirect.com/science/article/pii/0377221787900634

  • Rubio-Campillo X, María Cela J, Hernàndez Cardona F (2011) Simulating archaeologists? Using agent-based modelling to improve battlefield excavations. J Archaeol Sci 39:347–356. URL http://www.sciencedirect.com/science/article/pii/S0305440311003475

  • Russell S (1999) Rationality and Intelligence. In: Woolridge M, Rao A (eds) Foundations of Rational Agency. Kluwer Academic, Dordrecht, pp 11–33

    Google Scholar 

  • Russell S, Norvig P (2003) Artificial Intelligence: A Modern Approach, 2nd edn. Pearson Education, Upper Saddle River, NJ

    Google Scholar 

  • Scaff LA (2011) Georg Simmel. In: The Wiley-Blackwell Companion to Major Social Theorists, vol 1. Blackwell, Chichester

    Google Scholar 

  • Schuster HG (1988) Deterministic Chaos. VCH, New York

    Google Scholar 

  • Searle J (1992) The Rediscovery of the Mind, chap Reductionsim and the Irreducibility of Consciousness. MIT Press, Cambridge, MA

    Google Scholar 

  • Shanks M, Tilley C (1987a) Re-constructing Archaeology. University Press, Cambridge

    Google Scholar 

  • Shanks M, Tilley C (1987b) Social Theory and Archaeology. Polity Press, Cambridge

    Google Scholar 

  • Simon HA (1956) Rational choice and the structure of the environment. Psychol Rev 63(2):129–138

    Google Scholar 

  • Slingerland E, Collard M (2012) Introduction. Creating Consilience: Toward a Second Wave. In: Slingerland E, Collard M (eds) Creating Consilience: Integrating the Sciences and Humanities. Oxford University Press, Oxford, pp 123–740 (e-edition)

    Google Scholar 

  • Surovell T, Brantingham P (2007) A note on the use of temporal frequency distributions in studies of prehistoric demography. J Archaeol Sci 34(11):1868–1877. URL http://www.sciencedirect.com/science/article/pii/S030544030700012X

  • Thomas DH (1972) A Computer Simulation Model of Great Basin Shoshonean Subsistance and Settlement. In: Clarke DL (ed) Models in Archaeology. Methuen, London, pp 671–704

    Google Scholar 

  • Thomas J (1988) Neolithic explanations revisited: The mesolithic–neolithic transition in Britain and south Scandinavia. Proc Prehistoric Soc 54:59–66

    Google Scholar 

  • Thomas J (1991) The hollow men? a reply to Steven Mithen. Proc Prehistoric Soc 57:15–20

    Google Scholar 

  • Thomas J (2004) Archaeology and Modernity. Routledge, London

    Google Scholar 

  • Toffoli T, Margolus N (1987) Cellular Automata Machine: A New Environment for Modeling. MIT Press, Cambridge, MA

    Google Scholar 

  • Waldrop M (1992) Complexity: The Emerging Science at the Edge of Order and Chaos. Simon & Schuster, New York

    Google Scholar 

  • Watkins JWN (1952) Ideal types and historical explanation. Br J Philos Sci 3:22–43

    Google Scholar 

  • Watson PJ, LeBlanc SA, Redman C (1971) Explanation in Archaeology: An Explicitly Scientific Approach. Columbia Univesity Press, New York

    Google Scholar 

  • Wheatley D (1993) Going over Old Ground: GIS, Archaeological Theory and the Act of Perception. In: Andresen J, Madsen T, Scollar I (eds) Computing the Past: Computer Applications and Quantitative Methods in Archaeology 1992. Aarhus University Press, Aarhus, pp 133–138

    Google Scholar 

  • Wilkinson T, Christiansen J, Ur J, Widell M, Altaweel M (2007) Urbanization within a dynamic environment: modeling Bronze Age communities in upper Mesopotamia. Am Anthropol 109(1):52–68. URL http://onlinelibrary.wiley.com/doi/10.1525/aa.2007.109.1.52/abstract

  • Wobst HM (1974) Boundary conditions for Palaeolithic social systems: A simulation approach. Am Antiq 39:147–178

    Google Scholar 

  • Wobst HM (2010) Discussant’s Comments, Computer Simulation Symposium, Society for American Archaeology. In: Costopoulos A, Lake M (eds) Simulating Change: Archaeology into the Twenty-First Century. University of Utah Press, Salt Lake City, pp 9–11

    Google Scholar 

  • Wolfram S (1984) Cellular automata as models of complexity. Nature 311:419–424

    Google Scholar 

  • Wright DJ, Goodchild MF, Proctor JD (1997) Demystifying the persistent ambiguity of GIS as “tool” versus “science”. Ann Assoc Am Geogr 87:346–362. URL http://www.jstor.org/stable/2564374, also available from http://dusk.geo.orst.edu/annals.html (accessed 11/10/2004)

  • Wright HT, Zeder M (1977) The Simulation of a Linear Exchange System Under Equilibrium Conditions. In: Earle TK, Ericson JE (eds) Exchange Systems in Prehistory. Academic Press, New York, pp 233–253

    Google Scholar 

  • Xue JZ, Costopoulos A, Guichard F (2011) Choosing fitness-enhancing innovations can be detrimental under fluctuating environments. PloS One 6(11):e26,770

    Google Scholar 

  • Zeeman EC (ed) (1977) Readings in Catastrophe Theory. Addison-Wesley, Reading, MA

    Google Scholar 

  • Zubrow E (1981) Simulation as a Heuristic Device in Archaeology. In: Sabloff JA (ed) Simulations in Archaeology. University of New Mexico Press, Albuquerque, pp 143–188

    Google Scholar 

Download references

Acknowledgements

I should like to thank Gabriel Wurzer and Kerstin Kowarik for inviting me to contribute to this volume and also for their hospitality in Vienna during the 2011 trans-disciplinary workshop Agents in Archaeology. I am also grateful to many others with whom I have debated the pros and cons of agent-based modelling and/or who have invited me to present or discuss agent-based models in various workshops and conferences over the years, notably: Ariane Burke, Mark Collard, Andre Costopoulos, Enrico Crema, Tim Kohler, Marco Madella, Steven Mithen, Luke Premo, Bernado Rondelli and James Steele.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mark W. Lake .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Lake, M.W. (2015). Explaining the Past with ABM: On Modelling Philosophy. In: Wurzer, G., Kowarik, K., Reschreiter, H. (eds) Agent-based Modeling and Simulation in Archaeology. Advances in Geographic Information Science. Springer, Cham. https://doi.org/10.1007/978-3-319-00008-4_1

Download citation

Publish with us

Policies and ethics