Abstract
This paper discusses knowledge accumulation and diffusion mechanisms and their effect on social and institutional change in an artificial society. The focus of this paper is to model the role of knowledge keepers in the context of social control in the CKSW institutional meta-role framework. In literature this role has been associated with helping to maintain social order by spreading social awareness and resolving disputes. In addition to outlining the model of a complex, adaptive, and self-sustaining artificial society, we examine in this context the societal mechanism of violence control.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
The reputation Gini index shows the relative reputation inequality in a group. In particular, it reveals the gap between agents with very high reputation and agents with low reputation. In order to calculate the Gini index, we implement formula used by [35]. \( Agent_{i} \)’s reputation represented by \( y_{i} \). Then we sort \( y_{i} \), \( i = 1\,to\,n \) in ascending order \( \left( {y_{i} < = y_{i + 1} } \right) \). Finally, Gini is calculated as \( G = \frac{1}{n}\left( {n + 1 - 2\left( {\frac{{\sum\nolimits_{{i =1}}^{n} {\left( {{\text{n}} + 1 - i} \right)y^{1} }}}{{\sum\nolimits_{{i = 1}}^{n} {y_{i} } }}} \right)} \right) \).
References
Huang, H.Q., Macmillan, W.: A generative bottom-up approach to the understanding of the development of rural societies. Agrifood Res. Rep. 68, 296–312 (2005)
Macmillan, W., Huang, H.Q.: An agent-based simulation model of a primitive agricultural society. Geoforum 39, 643–658 (2008)
Makowsky, M.D., Smaldino, P.E.: The evolution of power and the divergence of cooperative norms. J. Econ. Behav. Org. 126, 75–88 (2016)
Gilbert, N., den Besten, M., Bontovics, A., Craenen, B.G.W., Divina, F., Eiben, A.E., Griffioen, R., Hévízi, G., Lõrincz, A., Paechter, B., Schuster, S., Schut M.C., Tzolov, C., Vogt, P., Yang, L.: Emerging artificial societies through learning. J. Artif. Soc. Soc. Simul. 9 (2006)
Tesfatsion, L.: Agent-based computational economics: growing economies from the bottom up. Artif. Life 8, 55–82 (2002)
Younger, S.: Leadership, violence, and warfare in small societies. J. Artif. Soc. Soc. Simul. 14, 8 (2011)
Younger, S.: Leadership in small societies. J. Artif. Soc. Soc. Simul. 13, 5 (2010)
Younger, S.: Reciprocity, sanctions, and the development of mutual obligation in egalitarian societies. J. Artif. Soc. Soc. Simul. 8, 9 (2005)
Younger, S.M.: Discrete agent simulations of the effect of simple social structures on the benefits of resource sharing. J. Artif. Soc. Soc. Simul. 6 (2003)
Younger, S.: Reciprocity, normative reputation, and the development of mutual obligation in gift-giving societies. JASSS-THE J. Artif. Soc. Soc. Simul. 7 (2004)
Purvis, M.K., Purvis, M.A.: Institutional expertise in the service-dominant logic: knowing how and knowing what. J. Mark. Manag. 28, 1626–1641 (2012). doi:10.1080/0267257X.2012.742454
Purvis, M., Purvis, M., Frantz, C.: CKSW: a folk-sociological meta-model for agent-based modelling. Social Path Workshop (2014)
Jahanbazi, M., Frantz, C., Purvis, M., Purvis, M.: Building an artificial primitive human society: an agent-based approach. In: Ghose, A., et al. (eds.) COIN 2014. LNCS, vol. 9372, pp. 89–96. Springer, Heidelberg (2015). doi:10.1007/978-3-319-25420-3_6
Makowsky, M.D., Rubin, J.: An agent-based model of centralized institutions, social network technology, and revolution. PLOS ONE 8 (2013)
Cervellati, M., Sunde, U.: Life expectancy and economic growth: the role of the demographic transition. J. Econ. Growth 16, 99–133 (2011). doi:10.2307/41486924
Read, D.W.: Emergent properties in small-scale societies. Artif. Life 9, 419–434 (2003). doi:10.1162/106454603322694852
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.: Population growth and collapse in a multiagent model of the Kayenta Anasazi in Long House Valley. Proc. Natl. Acad. Sci. U.S.A. 99(Suppl 3), 7275–7279 (2002)
Diaz, B.A., Fent, T.: An agent-based simulation model of age-at-marriage norms, pp. 85–116 (2006)
Billari, F.C., Prskawetz, A., Diaz, B.A., Fent, T.: The “Wedding-Ring”: an agent-based marriage model based on social interaction. Demogr. Res. 17, 59–82 (2008)
Bentley, G.R.: Hunter-gatherer energetics and fertility: a reassessment of the! Kung San. Hum. Ecol. 13, 79–109 (1985)
Read, D.: Kinship based demographic simulation of societal processes. J. Artif. Soc. Soc. Simul. 1 (1998)
Ewert, U.C., Roehl, M., Uhrmacher, A.M.: Hunger and market dynamics in pre-modern communities: insights into the effects of market intervention from a multi-agent model. Hist. Soc. Res. Sozialforsch, 122–150 (2007)
Lake, M.: Explaining the Past with ABM: On Modelling Philosophy (2015). doi:10.1007/978-3-319-00008-4_1
Barceló, J., Del Castillo, F., Del Olmo, R., Mameli, L., Quesada, F.M., Poza, D., Vilà, X.: Simulating Patagonian territoriality in prehistory: space. Front. Netw. Among Hunter-Gatherers (2015). doi:10.1007/978-3-319-00008-4_10
Tisue, S., Wilensky, U.: Netlogo: a simple environment for modeling complexity. Int. Conf. Complex Syst., pp 16–21 (2004)
Boehm, C.: Hierarchy in the Forest: The Evolution of Egalitarian Behavior. Harvard University Press, Cambridge (2009)
Villatoro, D., Andrighetto, G., Brandts, J., Nardin, L.G., Sabater-Mir, J., Conte, R.: The norm-signaling effects of group punishment combining agent-based simulation and laboratory experiments. Soc. Sci. Comput. Rev. 32, 334–353 (2014)
Boyd, R., Gintis, H., Bowles, S.: Coordinated punishment of defectors sustains cooperation and can proliferate when rare. Science 328, 617–620 (2010)
Fry, D.P., Bjrkqvist, K., Bjorkqvist, K.: Cultural Variation in Conflict Resolution Alternatives to Violence. Taylor & Francis, New York (2013)
Wagner, G. The political organization of the Bantu of Kavirondo. Afr. Polit. Syst., 197 (1940)
Wolff, P.M., Braman, O.R.: Traditional dispute resolution in Micronesia. South Pac. J. Psychol. 11, 44–53 (1999)
Thiele, J.C., Kurth, W., Grimm, V.: Facilitating parameter estimation and sensitivity analysis of agent-based models: a cookbook using NetLogo. R. J. Artif. Soc. Soc. Simul. 17(3), 11 (2014)
Jahanbazi, M., Frantz, C., Purvis, M., Purvis, M., Nowostawski, M.: Agent-based modelling of primitive human communities. In: Intelligent Advanced Technology, vol. 3, pp. 64–71 (2014)
Gould, M.: Culture, personality, and emotion in George Herbert mead: a critique of empiricism in cultural sociology. Sociol. Theor. 27, 435–448 (2009). doi:10.2307/40376122
Gastwirth, J.L.: The estimation of the Lorenz curve and Gini index. Rev. Econ. Stat. 54(3), 306–316 (1972)
Epstein, J.M.: Why model? J. Artif. Soc. Soc. Simul. 11(4), 12 (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Jahanbazi, M., Frantz, C., Purvis, M., Purvis, M. (2016). The Role of Knowledge Keepers in an Artificial Primitive Human Society: An Agent-Based Approach. In: Dignum, V., Noriega, P., Sensoy, M., Sichman, J. (eds) Coordination, Organizations, Institutions, and Norms in Agent Systems XI. COIN 2015. Lecture Notes in Computer Science(), vol 9628. Springer, Cham. https://doi.org/10.1007/978-3-319-42691-4_9
Download citation
DOI: https://doi.org/10.1007/978-3-319-42691-4_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-42690-7
Online ISBN: 978-3-319-42691-4
eBook Packages: Computer ScienceComputer Science (R0)