By Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, Oscar Fontenla-Romero, J. Gary Polhill, Tony Craig, Javier Bajo, Juan Manuel Corchado
Using the O.D.D. (Overview, layout options, element) protocol, this name explores the function of agent-based modeling in predicting the feasibility of varied ways to sustainability. The chapters integrated during this quantity encompass actual case reports to demonstrate the software of agent-based modeling and complexity concept in studying a route to extra effective and sustainable existence. the subjects lined inside comprise: families' attitudes towards recycling, designing selection timber for representing sustainable behaviors, negotiation-based parking allocation, auction-based site visitors sign regulate, and others.
This choice of papers might be of curiosity to social scientists who desire to study extra approximately agent-based modeling in addition to specialists within the box of agent-based modeling.
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Additional resources for Agent-Based Modeling of Sustainable Behaviors
Schaat et al. 1 0 get green electricity fulfills norm: protect go back to work Norm conflict Drive Intensity Reality conflict Norm strength Ownership conflict Fig. 11 Overview of goal selection in a social media scenario norms recently. The personality factors of Victoria informs about her general norm conformity and how intuitive she is in general. Due to the simulation scenario, the goal to work is configured as pre-activated. Figure 11 gives an overview of why the goal to get green electricity is highly ranked, given the agent’s current internal and external situation.
The resulting state 22 S. Schaat et al. indicator corresponds to the descriptive emotions of envy and guilt. g. confidence). However, as indicated in Victoria’s case, the decision to get green electricity is mainly a reactive one due to activation and valuation of corresponding memories. 4 Discussion and Conclusion Agent-based modeling (ABM) is able to bridge the gap between psychological and sociological perspectives by providing a platform for their integration. To model the dynamics of human behavior in such integrative simulations, psychologically plausible agents are required.
10). 2 0 Cluster 2 NO PICTURE OF NATURE Cluster 6 Cluster 7 NATURE IN GOOD STATE Cluster 11 ... IN BAD STATE Fig. 10 Impact of perceiving different states of nature on the tendency to switch to green energy picture only slightly changes the tendency to switch to green energy. Hence although it may seem counterintuitive, the state of nature in a background picture of a social media message does not seem to have an impact on the tendency to switch to green electricity (see Fig. 10, where an agent associates different states of displeasure and pleasure for the different pictures).
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