Difference between revisions of "Xkraj119"

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TBD
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==Assignment==
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* Project name – Event Match-up Dynamics
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* Author – Jan Kratochvíl
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* Software used – NetLogo 5
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* Simulation type – Multi-agent model
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== About the model ==
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The target of the demonstration is to simulate the match-up process as happens in a closed, limited-time, in-person event, such as a concert or a birthday party.
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=== The basic characteristics of the model are: ===
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* Every population member has two basic preference types – physical attraction and mental compatibility
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* Every population member has a specific sex assigned, as well as a sexual preference – heterosexual, homosexual, bisexual, asexual
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* The model is spatial. Population members interact with the nearest neighbors. After the interaction, they walk randomly until they find another actor.
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* The length of interaction between population members (can be zero) is based on their mutual physical attraction
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* After the interaction, both members score the other one. The score is a compound of physical attraction index and the mental compatibility index. The longer the interaction is, the more weight does the mental compatibility carries
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* The resulting score is a basis for decision about mating. Some members have no intention of mating, yet take part in interactions
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* The later it is in the game, the lower the score must be in order to be sufficient for mating
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=== Model configurability ===
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* Minimum score to match-up
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* The pace with which does one’s standard lowers as the game reaches later stages
 +
* Weight of physical attraction/mental compatibility in scoring model
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* The initial spatial distribution of actors
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== Goal variables ==
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* Median compatibility score of matched-up actors
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* Median number of turns for a match-up to happen
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* Median number of interaction it takes to reach a match-up
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* Percentage of actors able to find a match-up
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== Goals of the simulations are: ==
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* Does the initial spatial distribution of actors significantly alter the median compatibility score of matched-up actors
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* What is the average of interactions needed to reach a match-up?
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* Does altering the number of actors with no mating intention increase the percentage of actors able to find a match-up?
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* How aggressively do need the actors’ standards need to lower in order for vast majority of actors to find a match-up?

Revision as of 18:16, 19 December 2014

Assignment

  • Project name – Event Match-up Dynamics
  • Author – Jan Kratochvíl
  • Software used – NetLogo 5
  • Simulation type – Multi-agent model

About the model

The target of the demonstration is to simulate the match-up process as happens in a closed, limited-time, in-person event, such as a concert or a birthday party.

The basic characteristics of the model are:

  • Every population member has two basic preference types – physical attraction and mental compatibility
  • Every population member has a specific sex assigned, as well as a sexual preference – heterosexual, homosexual, bisexual, asexual
  • The model is spatial. Population members interact with the nearest neighbors. After the interaction, they walk randomly until they find another actor.
  • The length of interaction between population members (can be zero) is based on their mutual physical attraction
  • After the interaction, both members score the other one. The score is a compound of physical attraction index and the mental compatibility index. The longer the interaction is, the more weight does the mental compatibility carries
  • The resulting score is a basis for decision about mating. Some members have no intention of mating, yet take part in interactions
  • The later it is in the game, the lower the score must be in order to be sufficient for mating

Model configurability

  • Minimum score to match-up
  • The pace with which does one’s standard lowers as the game reaches later stages
  • Weight of physical attraction/mental compatibility in scoring model
  • The initial spatial distribution of actors

Goal variables

  • Median compatibility score of matched-up actors
  • Median number of turns for a match-up to happen
  • Median number of interaction it takes to reach a match-up
  • Percentage of actors able to find a match-up

Goals of the simulations are:

  • Does the initial spatial distribution of actors significantly alter the median compatibility score of matched-up actors
  • What is the average of interactions needed to reach a match-up?
  • Does altering the number of actors with no mating intention increase the percentage of actors able to find a match-up?
  • How aggressively do need the actors’ standards need to lower in order for vast majority of actors to find a match-up?