Computational Model Library

Displaying 10 of 227 results for "Daniel C Peart" clear search

Swidden farming by individual households

C Michael Barton | Published Sunday, April 27, 2008 | Last modified Saturday, April 27, 2013

Swidden Farming is designed to explore the dynamics of agricultural land management strategies.

Patch choice model from Optimal Foraging Theory (Human Behavioral Ecology)

C Michael Barton | Published Saturday, November 22, 2008 | Last modified Saturday, April 27, 2013

NetLogo model of patch choice model from optimal foraging theory (human behavioral ecology).

Diet breadth model from Optimal Foraging Theory (Human Behavioral Ecology)

C Michael Barton | Published Wednesday, November 26, 2008 | Last modified Thursday, March 12, 2015

Diet breadth is a classic optimal foraging theory (OFT) model from human behavioral ecology (HBE). Different resources, ranked according to their food value and processing costs, are distributed in th

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.

Peer reviewed Hominin ecodynamics v.1

C Michael Barton | Published Saturday, October 01, 2011 | Last modified Friday, March 28, 2014

Biobehavioral interactions between two populations under different movement strategies.

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.

Peer reviewed Swidden Farming Version 2.0

C Michael Barton | Published Wednesday, June 12, 2013 | Last modified Wednesday, September 03, 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.

Growing Unpopular Norms. A Network-Situated ABM of Norm Choice.

C Merdes | Published Tuesday, November 22, 2016 | Last modified Saturday, March 17, 2018

The model’s purpose is to provide a potential explanation for the emergence, sustenance and decline of unpopular norms based on pluralistic ignorance on a social network.

An ABM of changes in individuals’ lifestyles which considers their
evolving behavioural choices. Individuals have a set of environmental behavioural traits that spread through a fixed Watts–Strogatz graph via social interactions with their neighbours. These exchanges are mediated by transmission biases informing from whom an individual learns and
how much attention is paid. The influence of individuals on each other is a function of their similarity in environmental identity, where we represent environmental identity computationally by aggregating past agent attitudes towards multiple environmentally related behaviours. To perform a behaviour, agents must both have
a sufficiently positive attitude toward a behaviour and overcome a corresponding threshold. This threshold
structure, where the desire to perform a behaviour does not equal its enactment, allows for a lack of coherence
between attitudes and actual emissions. This leads to a disconnect between what people believe and what

For deep decarbonisation, the design of climate policy needs to account for consumption choices being influenced not only by pricing but also by social learning. This involves changes that pertain to the whole spectrum of consumption, possibly involving shifts in lifestyles. In this regard, it is crucial to consider not just short-term social learning processes but also slower, longer-term, cultural change. Against this background, we analyse the interaction between climate policy and cultural change, focusing on carbon taxation. We extend the notion of “social multiplier” of environmental policy derived in an earlier study to the context of multiple consumer needs while allowing for behavioural spillovers between these, giving rise to a “cultural multiplier”. We develop a model to assess how this cultural multiplier contributes to the effectiveness of carbon taxation. Our results show that the cultural multiplier stimulates greater low-carbon consumption compared to fixed preferences. The model results are of particular relevance for policy acceptance due to the cultural multiplier being most effective at low-carbon tax values, relative to a counter-case of short-term social interactions. Notably, at high carbon tax levels, the distinction between social and cultural multiplier effects diminishes, as the strong price signal drives even resistant individuals toward low-carbon consumption. By varying socio-economic conditions, such as substitutability between low- and high-carbon goods, social network structure, proximity of like-minded individuals and the richness of consumption lifestyles, the model provides insight into how cultural change can be leveraged to induce maximum effectiveness of climate policy.

Displaying 10 of 227 results for "Daniel C Peart" clear search

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