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Human societies evolve along similar paths

Date:
December 18, 2017
Source:
University of Exeter
Summary:
Societies ranging from ancient Rome and the Inca empire to modern Britain and China have evolved along similar paths, a huge new study shows.
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Societies ranging from ancient Rome and the Inca empire to modern Britain and China have evolved along similar paths, a huge new study shows.

Despite their many differences, societies tend to become more complex in "highly predictable" ways, researchers said.

These processes of development -- often happening in societies with no knowledge of each other -- include the emergence of writing systems and "specialised" government workers such as soldiers, judges and bureaucrats.

The international research team, including researchers from the University of Exeter, created a new database of historical and archaeological information using data on 414 societies spanning the last 10,000 years. The database is larger and more systematic than anything that has gone before it.

"Societies evolve along a bumpy path -- sometimes breaking apart -- but the trend is towards larger, more complex arrangements," said corresponding author Dr Thomas Currie, of the Human Behaviour and Cultural Evolution Group at the University of Exeter's Penryn Campus in Cornwall.

"Researchers have long debated whether social complexity can be meaningfully compared across different parts of the world. Our research suggests that, despite surface differences, there are fundamental similarities in the way societies evolve.

"Although societies in places as distant as Mississippi and China evolved independently and followed their own trajectories, the structure of social organisation is broadly shared across all continents and historical eras."

The measures of complexity examined by the researchers were divided into nine categories. These included:

  • Population size and territory
  • Number of control/decision levels in administrative, religious and military hierarchies
  • Information systems such as writing and record keeping
  • Literature on specialised topics such as history, philosophy and fiction
  • Economic development

The researchers found that these different features showed strong statistical relationships, meaning that variation in societies across space and time could be captured by a single measure of social complexity.

This measure can be thought of as "a composite measure of the various roles, institutions, and technologies that enable the coordination of large numbers of people to act in a politically unified manner."

Dr Currie said learning lessons from human history could have practical uses.

"Understanding the ways in which societies evolve over time and in particular how humans are able to create large, cohesive groups is important when we think about state building and development," he said.

"This study shows how the sciences and humanities, which have not always seen eye-to-eye, can actually work together effectively to uncover general rules that have shaped human history."

The new database of historical and archaeological information is known as "Seshat: Global History Databank" and its construction was led by researchers from the University of Exeter, the University of Connecticut, the University of Oxford, Trinity College Dublin and the Evolution Institute.


Story Source:

Materials provided by University of Exeter. Note: Content may be edited for style and length.


Journal Reference:

  1. Peter Turchin, Thomas E. Currie, Harvey Whitehouse, Pieter François, Kevin Feeney, Daniel Mullins, Daniel Hoyer, Christina Collins, Stephanie Grohmann, Patrick Savage, Gavin Mendel-Gleason, Edward Turner, Agathe Dupeyron, Enrico Cioni, Jenny Reddish, Jill Levine, Greine Jordan, Eva Brandl, Alice Williams, Rudolf Cesaretti, Marta Krueger, Alessandro Ceccarelli, Joe Figliulo-Rosswurm, Po-Ju Tuan, Peter Peregrine, Arkadiusz Marciniak, Johannes Preiser-Kapeller, Nikolay Kradin, Andrey Korotayev, Alessio Palmisano, David Baker, Julye Bidmead, Peter Bol, David Christian, Connie Cook, Alan Covey, Gary Feinman, Árni Daníel Júlíusson, Axel Kristinsson, John Miksic, Ruth Mostern, Cameron Petrie, Peter Rudiak-Gould, Barend ter Haar, Vesna Wallace, Victor Mair, Liye Xie, John Baines, Elizabeth Bridges, Joseph Manning, Bruce Lockhart, Amy Bogaard, Charles Spencer. Quantitative historical analysis uncovers a single dimension of complexity that structures global variation in human social organization. Proceedings of the National Academy of Sciences, 2017; 201708800 DOI: 10.1073/pnas.1708800115

Cite This Page:

University of Exeter. "Human societies evolve along similar paths." ScienceDaily. ScienceDaily, 18 December 2017. <www.sciencedaily.com/releases/2017/12/171218151819.htm>.
University of Exeter. (2017, December 18). Human societies evolve along similar paths. ScienceDaily. Retrieved December 20, 2024 from www.sciencedaily.com/releases/2017/12/171218151819.htm
University of Exeter. "Human societies evolve along similar paths." ScienceDaily. www.sciencedaily.com/releases/2017/12/171218151819.htm (accessed December 20, 2024).

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