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 recommendations, element) protocol, this name explores the function of agent-based modeling in predicting the feasibility of varied methods to sustainability. The chapters included during this quantity include genuine case experiences to demonstrate the application of agent-based modeling and complexity idea in researching a route to extra effective and sustainable existence. the themes coated inside of contain: families' attitudes towards recycling, designing choice timber for representing sustainable behaviors, negotiation-based parking allocation, auction-based site visitors sign keep watch over, and others.
This choice of papers might be of curiosity to social scientists who desire to examine 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
Environ. 161, 55–69 (2012) 21. : Going beyond perfect rationality: drought risk, economic choices and the influence of social networks. Ann. Reg. Sci. pp 1–35 (2015) 22. : Games and online research methods. , Blank, G. (eds) The SAGE Handbook of Online Research Methods, 2nd edn. Sage Publications Inc. (2016) 23. : Simulating the Mind—A Technical Neuropsychoanalytic Approach. Springer, Vienna (2009) Psychologically Plausible Models in Agent-Based Simulations of Sustainable Behavior 25 24. : ARS: An AGI Architecture.
For each run, the model records in the last time step the mean and variance of the distribution of difference between each non-cloned agent’s final and initial response to each behaviour. Specifically, for each behaviour, the NetLogo expressions for the means and variances are computed as shown in (1) and (2), mean Œbehaviour variance Œbehaviour initial-behaviour of workers initial-behaviour of workers (1) (2) where behaviour and initial-behaviour are substituted for a lookup in the agent’s data table for the corresponding behaviour variables at the end and beginning of the run respectively; and workers is the set of interacting agents.
However, the guiding principle is that of a satisficing, not an optimizing agent (cf. ). Overall, the evaluation process results in determining the most relevant goal for the current internal and external conditions. 3 Applying the SiMA-C Model in Social Media Prompting of Environmental-Friendly Behavior The applicability of using the SiMA-C model to examine the mechanisms and impact factors of environmental-friendly behavior is explored in the CogMAS (Cognitive Multi-Agent System Supporting Marketing Strategies of EnvironmentalFriendly Energy Products) project .