Computational Model Library

Displaying 10 of 1099 results for "Joan A Barcel%C3%B3" clear search

Model to simulation the landscape of possible shedding games

Marco Janssen | Published Sunday, May 16, 2010 | Last modified Saturday, April 27, 2013

This model simulates 2048 versions of shedding games and evaluates the consequences on the average length and the difficulty of the game agents experience. The purpose of the model is to understand th

Extra Innovation Adder

Julia Kasmire Janne M Korhonen | Published Friday, December 05, 2014

One of four extensions to the standard Adder model that replicates a common type of transition experiment.

Extra Radical Adder

Julia Kasmire Janne M Korhonen | Published Friday, December 05, 2014

This is one of four extensions to the standard Adder model that replicate the various interventions typical of transition experiments.

Niche Protect Adder

Julia Kasmire Janne M Korhonen | Published Friday, December 05, 2014

One of four extensions to the standard Adder model that replicates the various interventions typically associated with transition experiments.

All Together Adder

Julia Kasmire Janne M Korhonen | Published Friday, December 05, 2014

The fourth and final extension to the standard Adder model to replicate the various interventions typically associated with Transition Experiments.

Bicycle model

Gudrun Wallentin Dana Kaziyeva Martin Loidl | Published Thursday, January 10, 2019 | Last modified Monday, February 22, 2021

The purpose of the model is to generate the spatio-temporal distribution of bicycle traffic flows at a regional scale level. Disaggregated results are computed for each network segment with the minute time step. The human decision-making is governed by probabilistic rules derived from the mobility survey.

This code can be used to analyze the sensitivity of the Deffuant model to different measurement errors. Specifically to:
- Intrinsic stochastic error
- Binning of the measurement scale
- Random measurement noise
- Psychometric distortions

We explore how dynamic processes related to socioeconomic inequality operate to sort students into, and create stratification among, colleges.

We study the impact of endogenous creation and destruction of social ties in an artificial society on aggregate outcomes such as generalized trust, willingness to cooperate, social utility and economic performance. To this end we put forward a computational multi-agent model where agents of overlapping generations interact in a dynamically evolving social network. In the model, four distinct dimensions of individuals’ social capital: degree, centrality, heterophilous and homophilous interactions, determine their generalized trust and willingness to cooperate, altogether helping them achieve certain levels of social utility (i.e., utility from social contacts) and economic performance. We find that the stationary state of the simulated social network exhibits realistic small-world topology. We also observe that societies whose social networks are relatively frequently reconfigured, display relatively higher generalized trust, willingness to cooperate, and economic performance – at the cost of lower social utility. Similar outcomes are found for societies where social tie dissolution is relatively weakly linked to family closeness.

Displaying 10 of 1099 results for "Joan A Barcel%C3%B3" clear search

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