Computational Model Library

Peer reviewed Agent-based Renewables model for Integrated Sustainable Energy (ARISE)

Muhammad Indra Al Irsyad Anthony Halog Rabindra Nepal | Published Wed Nov 29 00:55:57 2017 | Last modified Fri Oct 5 01:16:27 2018

ARISE is a hybrid energy model incorporating macroeconomic data, micro socio-economic data, engineering data and environmental data. This version of ARISE can simulate scenarios of solar energy policy for Indonesia case.

Decision-makers often have to act before critical times to avoid the collapse of ecosystems using knowledge \textcolor{red}{that can be incomplete or biased}. Adaptive management may help managers tackle such issues. However, because the knowledge infrastructure required for adaptive management may be mobilized in several ways, we study the quality and the quantity of knowledge provided by this knowledge infrastructure. In order to analyze the influence of mobilized knowledge, we study how the following typology of knowledge and its use may impact the safe operating space of exploited ecosystems: 1) knowledge of the past based on a time series distorted by measurement errors; 2) knowledge of the current systems’ dynamics based on the representativeness of the decision-makers’ mental models of the exploited ecosystem; 3) knowledge of future events based on decision-makers’ likelihood estimates of extreme events based on modeling infrastructure (models and experts to interpret them) they have at their disposal. We consider different adaptive management strategies of a general regulated exploited ecosystem model and we characterize the robustness of these strategies to biased knowledge. Our results show that even with significant mobilized knowledge and optimal strategies, imperfect knowledge may still shrink the safe operating space of the system leading to the collapse of the system. However, and perhaps more interestingly, we also show that in some cases imperfect knowledge may unexpectedly increase the safe operating space by suggesting cautious strategies.
The code enables to calculate the safe operating spaces of different managers in the case of biased and unbiased knowledge.

The purpose of the OMOLAND-CA is to investigate the adaptive capacity of rural households in the South Omo zone of Ethiopia with respect to variation in climate, socioeconomic factors, and land-use at the local level.

Adaptive model of a consumer advice network

Peng Shao | Published Mon May 14 08:26:17 2018

In the consumer advice network, users with connections can interact with each other, and the network topology will change during the opinion interaction. When the opinion distance from i to j is greater than the confidence threshold, the two consumers cannot exchange opinions, and the link between them will disconnect with probability DE. Then, a link from node i to node k is established with probability CE and node i learning opinion from node k.

WaterScape

Erin Bohensky | Published Mon Feb 6 13:33:34 2012 | Last modified Sat Apr 27 20:18:53 2013

The WaterScape is an agent-based model of the South African water sector. This version of the model focuses on potential barriers to learning in water management that arise from interactions between human perceptions and social-ecological system conditions.

Agent-based version of the simple search and barter economy conceived by Peter Diamond in 1982. The model is also known as Coconut Model.

Salzburg Bicycle model

Gudrun Wallentin | Published Sat Oct 29 19:38:25 2016

An ABM to simulate the spatio-temporal distribution of cyclists across the road network of the city of Salzburg.

Battle of Perspectives

Marco Janssen Bert Devries | Published Mon Dec 2 02:16:37 2013

How does the world population adapt its policies on energy when it is confronted with a climate change? This model combines a climate-economy model with adaptive agents.

Peer reviewed Swidden Farming Version 2.0

C Michael Barton | Published Wed Jun 12 23:54:35 2013 | Last modified Wed Sep 3 23:37:34 2014

Model of shifting cultivation. All parameters can be controlled by the user or the model can be run in adaptive mode, in which agents innovate and select parameters.

Agent-Based Model for the Evolution of Ethnocentrism

Max Hartshorn | Published Sat Mar 24 21:34:18 2012 | Last modified Sat Apr 27 20:18:21 2013

This is an implementation of an agent based model for the evolution of ethnocentrism. While based off a model published by Hammond and Axelrod (2006), the code has been modified to allow for a more fine-grained analysis of evolutionary dynamics.

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