Use of Adaptive Agents Following Neuroeconomic Principles for Informing Public on Energy Choices

This paper proposes an approach to model complex future energy scenarios which deviates from existing common practice prognostic methods in the way it accepts complexity. Relations between energy related local preferences, cultural values, environmental parameters, costs and safety risks nowadays are mostly addressed by separate studies, which often fail to address correlations between those factors because they're using different parameters for quantitative expressions. Because societal evolution is constantly under complex influence of a mixture of dynamic parameters, rationalities based on behavioral observations, often seem to be validated for a limited period of time for a limited set of conditions. In this study, adaptive computational methods are studied on their applicability for energy scenario modeling. With an example model, the justification of those methods as a model for real life processes is discussed together with the links between emerging phenomena of in models following those theories and real life human behavior. Explicitly describing what is implicitly occurring in decision making processes can help awareness on hidden phenomena grow.

HOEVENAARS Albertus; 

2006-10-31

EC-JRC-IE

JRC34489

https://publications.jrc.ec.europa.eu/repository/handle/JRC34489,