Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Further towards a taxonomy of agent-based simulation models in environmental management
Mathematics and Computers in Simulation - Selected papers of the MSSANZ/IMACS 14th biennial conference on modelling and simulation
Empirical characterisation of agent behaviours in socio-ecological systems
Environmental Modelling & Software
An agent-based simulation model of human-environment interactions in agricultural systems
Environmental Modelling & Software
Environmental Modelling & Software
Spatial agent-based models for socio-ecological systems: Challenges and prospects
Environmental Modelling & Software
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Any transition towards a more environmentally sustainable world will strongly depend on people's willingness to adopt the best available practices. We present here the Consumption Italy (CITA) model, an empirically grounded agent-based model designed to represent household consumption in Italy and to estimate the related greenhouse gas emissions under different environmental policy scenarios. We explored the effect of a price increase for high impact goods and services (e.g., because of the introduction carbon taxes) and of a change of agents' environmental concern (e.g., because of information campaigns). We found that both kind of actions can orient people consumption in the desired direction. However, their target and intensity should be carefully calibrated to produce significant effects at an acceptable cost.