Abstract
There are lots of modelling approaches for emotional agents. Can they be compared in any way? The intention of this work is to provide a basis for comparison in a small but consistent environment which focuses on the impact of emotions in the decision making of agents. We chose the public goods game with punishment option as a scenario. Why? In this scenario it has been proven that humans show emotional, non-rational reactions. An emotional agent should therefore be able to show the same emotions and the underlying models should be capable of explaining them! The simulation and test environment is designed to allow any emotional agent model. Eventually, human players should not be distinguishable from artificial emotional agents.
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References
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Reichardt, D.: Will Artificial Emotional Agents Show Altruistic Punishment In The Public Goods Game. In: Reichardt, D., Levi, P., Meyer, J.-J. (eds.) Proceedings of the 1st Workshop Emotion and Computing – Current Research and Future Impact. 29th Annual German Conference on Artificial Intelligence, Bremen (2006), (ISBN 3-88722-664-X)
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Reichardt, D.M. (2007). A Definition Approach for an “Emotional Turing Test”. In: Paiva, A.C.R., Prada, R., Picard, R.W. (eds) Affective Computing and Intelligent Interaction. ACII 2007. Lecture Notes in Computer Science, vol 4738. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74889-2_65
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DOI: https://doi.org/10.1007/978-3-540-74889-2_65
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74888-5
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