Abstract
In this paper we present a system that gathers from a society of agents their emotional arousal and self-rated motivations as well as their location in order to plot a map of a city or geographical region with information about the motivational and emotional state of the agents that inhabit it. This tool provides the visualization of the agent’s reactions to the external world as well as the ultimate reasons behind them, namely the goals and beliefs, making it possible to know for instance where a society feels stressed and excited and which desires are predominant in specific parts of a geographical region. With a careful analysis of this information, further conclusions may be reached about particular aspects of the agent society.
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© 2011 Springer-Verlag Berlin Heidelberg
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Catré, P., Cardoso, L., Macedo, L., Cardoso, A. (2011). Building Spatiotemporal Emotional Maps for Social Systems. In: Antunes, L., Pinto, H.S. (eds) Progress in Artificial Intelligence. EPIA 2011. Lecture Notes in Computer Science(), vol 7026. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24769-9_41
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DOI: https://doi.org/10.1007/978-3-642-24769-9_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24768-2
Online ISBN: 978-3-642-24769-9
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