Computational Model Library

This is the final version of the model. To simulate the normative dynamics we used the EmIL (EMergence In the Loop) Framework which was kindly provided by Ulf Lotzmann. http://cfpm.org/EMIL-D5.1.pdf

Social and Task Interdependencies in Innovation Implementation

Spiro Maroulis Uri Wilensky | Published Tue Jun 4 16:38:44 2013 | Last modified Tue Mar 4 19:47:22 2014

This is a model of innovation implementation inside an organization. It characterizes an innovation as a set of distributed and technically interdependent tasks performed by a number of different and socially interconnected frontline workers.

Adoption as a social marker

Paul Smaldino | Published Mon Oct 17 13:00:14 2016

A model of innovation diffusion in a structured population with two groups who are averse to adopting a produce popular with the outgroup.

All Together Adder

J Kasmire Janne M Korhonen | Published Fri Dec 5 10:53:47 2014

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

The model is an experimental ground to study the impact of network structure on diffusion. It allows to construct a social network that already has some measurable level of homophily, and simulate a diffusion process over this social network.

Universal Darwinism in Dutch Greenhouses

Julia Kasmire | Published Wed May 9 13:40:57 2012 | Last modified Sat Apr 27 20:18:51 2013

An ABM, derived from a case study and a series of surveys with greenhouse growers in the Westland, Netherlands. Experiments using this model showshow that the greenhouse horticulture industry displays diversity, adaptive complexity and an uneven distribution, which all suggest that the industry is an evolving system.

This simulation model is to simulate the emergence of technological innovation processes from the hypercycles perspective.

9 Maturity levels in Empirical Validation - An innovation diffusion example

Martin Rixin | Published Wed Oct 19 13:42:28 2011 | Last modified Sat Apr 27 20:18:17 2013

Several taxonomies for empirical validation have been published. Our model integrates different methods to calibrate an innovation diffusion model, ranging from simple randomized input validation to complex calibration with the use of microdata.

Objective is to simulate policy interventions in an integrated demand-supply model. The underlying demand function links both sides. Diffusion proceeds if interactions distribute awareness (Epidemic effect) and rivalry reduces the market price (Probit effect). Endogeneity is given due to the fact that consumer awareness as well as their willingness-to-pay drives supply-side rivalry. Firm´s entry and exit decisions as well as quantity and price settings are driven by Cournot competition.

Objective of our model is to simulate the emergence and operation of a technological niches (TN) in terms of actors’ interaction. A TN can be conceived as protected socio-economic space where radical innovations are developed and tested

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