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Agent-Based Evolving Societies From Tribes to Chiefdoms to Nations

Agent-Based Evolving Societies From Tribes to Chiefdoms to Nations. Loïs Vanhée , Jacques Ferber, Frank Dignum Université Montpellier 2 Utrecht Universiteit ESSA 2013. Agenda. From Social Science Descriptions… …To a method to build models of evolving societies…

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Agent-Based Evolving Societies From Tribes to Chiefdoms to Nations

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  1. Agent-Based Evolving SocietiesFrom Tribes to Chiefdoms to Nations Loïs Vanhée, Jacques Ferber, Frank Dignum Université Montpellier 2 Utrecht Universiteit ESSA 2013

  2. Agenda From Social Science Descriptions… …To a method to build models of evolving societies… … To a concrete implementation Disclaimer:our goal is the method* *Our implementation is an illustration, real-societies may not proceed like this *A more detailed model/simulation may come in a year

  3. Dear social sciences, Sure, I have clustered them! Societies appear to evolve through ages. Do you know more about that? (note: this picture may not be representative of the average social scientist. Google result for “wise man”)

  4. From SS: Clustering societies Tribe Nation Chiefdom Social Kinship Power Rules Individual

  5. Dear social sciences, Plus, they evolve from one stage to the next Well, I cannot really say. It depends on so many things… But I can tell how it did for pigmies, Romans, Gallices • Okay… I have to simplify and generalize these transitions by myself… *If you have super theories about social stage evolution, please manifest yourself during the questions How do they?

  6. From SS: evolving societies Tribe Nation Chiefdom Kinship Power Rules

  7. From SS: evolving societies Power Education Problem controlled Problem controlled Population Growth Loss of kin-based relationship Population Growth Leader cannot control everyone Individuals are taught rules (law, obedience) Militiamen prevent fights Violent uncontrolled conflicts Militia hires militiamen Individuals disagree with the leader “Professors” are hired Individuals are collectively aware of it Individuals are collectively aware of it Creation of an “education” institution Creation of a militia owned by a leader Tribe Nation Chiefdom Kinship Power Rules

  8. Dear social sciences, Damn modeler, you simplified everything. But now, your model cannot be linked to any real society. Wait a minute! I can see a more global pattern. Let me build a method to prevent other modelers to suffer my pain. No problem, it can be expanded for concrete examples.

  9. A method to build evolving societies Such a text corresponds to implementation-level information Normal state Problem occurrence Handling the problem Behavior :b Resolving behavior Local problem Local memory l Communication Hiring agents Collective decision mechanism d Institution i Communication, opinion-merging mechanism m Social problem Resolving institution Social action

  10. Sketch of Concrete Implementation Gather & share food Reproduce [Sugarscape-like] Problem controlled Population Growth Loss of kin-based relationship External: easier to harvest food Militiamen prevent fights Militia influences random meetings (no fight when watched) b Graph or family size When population grows → sparse relationships Individuals randomly meet Fight with out-groups l = memorize when attacked (social dissatisfaction) Violent uncontrolled conflicts Militia hires militiamen A variable stores the ratio of militiamen These agents stop harvesting m = voting mechanism (yes if l is high) d= 50% yes Majority: an agent becomes the leader o Creation of a militia owned by a leader Individuals are collectively aware of it Tribe Chiefdom Kinship Power

  11. Experimentations Growth period: food production increases each round

  12. From before: Random meetings From SS: evolving societies Problem controlled External: easier to harvest food Population Growth Leader cannot control everyone Variable for “culture” (vector) Evolve randomly with time → cultural variation increases with society size Individuals are taught rules (law, obedience) Professors increase cultural match b Mismatch leader/subordinate cultures l =individual disagreement Individuals disagree with the leader “Professors” are hired A variable stores the ratio of professors i: professor institution m = average mismatch d:m is too high Individuals are collectively aware of it Creation of an “education” institution Nation Chiefdom Power Rules

  13. Experimentations

  14. Conclusions • From SS theories of human development • Tribes, chiefdom, nations • To a method to model of extensible societies • Stability; local problem; social problem; resolving institution; resolving behavior; stability • Applied in a simulation • Creation of a militia, teaching institution • Two consecutive levels • Future work: • Use the method for artificial societies (swarm of robots) • Expand the model: a different social reality for each stage

  15. Thank you for you attention Any questions?

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