UCCSS Hilbert ABM1: Agent-based Modeling Introduction - Deepstash
UCCSS Hilbert ABM1: Agent-based Modeling Introduction

UCCSS Hilbert ABM1: Agent-based Modeling Introduction

Curated from: Martin Hilbert

Ideas, facts & insights covering these topics:

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Simulating Social Emergence

Simulating Social Emergence

  • Very surprising outcomes emerge due to combined behaviour of different agents.
  • Within Computational Social Sciences, agent based model simulations helps us to explore combinatorial possibilities in theory.

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Modelling As Mapping

Modelling As Mapping

  • The only working model of a Universe is a Universe
  • Therefore, modelling involves losing out details from the real world.
  • The creative part is to select the right abstraction that is meaningful and useful.

Fun Website to try: worldmapper.org

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GALILEO GALILIE

"Nature/philosophy is written in this grand book - The Unviverse. It continually stands open to our gaze but one cannot understand it unless one learns to comprehend the language in which it is written- the language of mathematics. Without it one is wandering in a dark labyrinth"

GALILEO GALILIE

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Schelling's Segregation Model

Schelling's Segregation Model

Why are our cities so segregated?

  • Suppose we have a very tolerant society (people are happy if 50% of people around them are likes them)
  • Happy people will stay put while unhappy will move to other spot.

Segregation level: 0%; Unhappy: 40-50%

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Emergence Of Segregation Phenomenon

Emergence Of Segregation Phenomenon

  • Even after every 'individual' being fairly tolerant, the society turned out to segregated.

Segregation: 80-90%, Unhappy: 0%

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MICROMOTIVES & MACROBEHAVIOUR

Recommended Book by Thomas Schelling

MICROMOTIVES & MACROBEHAVIOUR

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IDEAS CURATED BY

CURATOR'S NOTE

Agent Based Modelling helps us to understand many societal phenomenon.

Gaurav Deshmukh's ideas are part of this journey:

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