A multitrajectory, competition model of emergent complexity in human social organization | Zendy

Dwight Read | Zendy

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A multitrajectory, competition model of emergent complexity in human social organization

Author(s) -

Dwight Read

Publication year - 2002

Publication title -

proceedings of the national academy of sciences

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 5.011

H-Index - 771

eISSN - 1091-6490

pISSN - 0027-8424

DOI - 10.1073/pnas.072079999

Subject(s) - competition (biology) , social organization , self organization , scale (ratio) , sequence (biology) , resource (disambiguation) , sociology , business , knowledge management , economic geography , data science , computer science , economics , ecology , social science , artificial intelligence , biology , geography , computer network , genetics , cartography

The repeated pattern of emergent human organization at a societal level going from small-scale, egalitarian decentralized societies to complex, stratified, and centralized societies is well-documented in the archaeological record of past societies. In this paper, I outline a multitrajectory model that relates to the broad features of this sequence of societal change. Competition is shown to play a critical role in the way interaction--among decision making, demographic parameters, and social units that organize resource ownership and procurement--either promotes or inhibits change in social organization. Multiagent simulation is discussed as a way to link culturally embedded decision making to emergent properties in the multitrajectory model.

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