Computational Model Library

Displaying 8 of 8 results mate clear search

Peer reviewed Evolution of Sex

Kristin Crouse | Published Sunday, June 05, 2016 | Last modified Monday, February 15, 2021

Evolution of Sex is a NetLogo model that illustrates the advantages and disadvantages of sexual and asexual reproductive strategies. It seeks to demonstrate the answer to the question “Why do we have sex?”

This program was developed to simulate monogamous reproduction in small populations (and the enforcement of the incest taboo).

Every tick is a year. Adults can look for a mate and enter a relationship. Adult females in a Relationship (under the age of 52) have a chance to become pregnant. Everyone becomes not alive at 77 (at which point people are instead displayed as flowers).

User can select a starting-population. The starting population will be adults between the ages of 18 and 42.

Symmetric two-sided matching

Naoki Shiba | Published Wednesday, January 09, 2013 | Last modified Wednesday, May 29, 2013

This is a replication model of the matching problem including the mate search problem, which is the generalization of a traditional optimization problem.

Hominin Ecodynamics v.1.1 (update for perception and interaction)

C Michael Barton | Published Wednesday, August 15, 2012 | Last modified Saturday, April 27, 2013

Models land-use, perception, and biocultural interactions between two forager populations.

Hominin ecodynamics v.2

C Michael Barton | Published Monday, September 19, 2011 | Last modified Friday, March 28, 2014

Simulates biobehavioral interactions between 2 populations of hominins.

The simulation model conducts fine-grained population projection by specifying life course dynamics of individuals and couples by means of traditional demographic microsimulation and by using agent-based modeling for mate matching.

Asymmetric two-sided matching

Naoki Shiba | Published Wednesday, January 09, 2013 | Last modified Tuesday, May 28, 2013

This model is an extended version of the matching problem including the mate search problem, which is the generalization of a traditional optimization problem. The matching problem is extended to a form of asymmetric two-sided matching problem.

Human mate choice is a complex system

Paul Smaldino Jeffrey C Schank | Published Friday, February 08, 2013 | Last modified Saturday, April 27, 2013

A general model of human mate choice in which agents are localized in space, interact with close neighbors, and tend to range either near or far. At the individual level, our model uses two oft-used but incompletely understood decision rules: one based on preferences for similar partners, the other for maximally attractive partners.

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