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Basing Artificial Emotion on Process and Resource Management

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Affective Computing and Intelligent Interaction (ACII 2007)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4738))

Abstract

Executable computational process models of emotion are based on specific sets of modelling primitives. Motivated by the requirements of a specific scenario and concepts used by emotion theories, we propose as building blocks explicitly bounded resources and concurrent processes acquiring and using them. Our approach is intended for the incremental modelling of a growing collection of emotional episodes, with a clear delineation of technically necessary simplifications of the natural phenomena. An episode of disgust is used to discuss the approach, which is realised using real-time cooperative microthreading technology.

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Ana C. R. Paiva Rui Prada Rosalind W. Picard

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Rank, S., Petta, P. (2007). Basing Artificial Emotion on Process and Resource Management. 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_31

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  • DOI: https://doi.org/10.1007/978-3-540-74889-2_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74888-5

  • Online ISBN: 978-3-540-74889-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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