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Logical Modeling of Emotions for Ambient Intelligence

Logical Modeling of Emotions for Ambient Intelligence

Carole Adam, Benoit Gaudou, Dominique Login, Emiliano Lorini
Copyright: © 2011 |Pages: 20
ISBN13: 9781616928575|ISBN10: 1616928573|EISBN13: 9781616928582
DOI: 10.4018/978-1-61692-857-5.ch007
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MLA

Adam, Carole, et al. "Logical Modeling of Emotions for Ambient Intelligence." Handbook of Research on Ambient Intelligence and Smart Environments: Trends and Perspectives, edited by Nak-Young Chong and Fulvio Mastrogiovanni, IGI Global, 2011, pp. 108-127. https://doi.org/10.4018/978-1-61692-857-5.ch007

APA

Adam, C., Gaudou, B., Login, D., & Lorini, E. (2011). Logical Modeling of Emotions for Ambient Intelligence. In N. Chong & F. Mastrogiovanni (Eds.), Handbook of Research on Ambient Intelligence and Smart Environments: Trends and Perspectives (pp. 108-127). IGI Global. https://doi.org/10.4018/978-1-61692-857-5.ch007

Chicago

Adam, Carole, et al. "Logical Modeling of Emotions for Ambient Intelligence." In Handbook of Research on Ambient Intelligence and Smart Environments: Trends and Perspectives, edited by Nak-Young Chong and Fulvio Mastrogiovanni, 108-127. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-61692-857-5.ch007

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Abstract

Ambient Intelligence (AmI) is the art of designing intelligent and user-focused environments. It is thus of great importance to take human factors into account. In this chapter we especially focus on emotions, that have been proved to be essential in human reasoning and interaction. To this end, we assume that we can take advantage of the results obtained in Artificial Intelligence about the formal modeling of emotions. This chapter specifically aims at showing the interest of logic as a tool to design agents endowed with emotional abilities useful for Ambient Intelligence applications. In particular, we show that modal logics allow the representation of the mental attitudes involved in emotions such as beliefs, goals or ideals. Moreover, we illustrate how modal logics can be used to represent complex emotions (also called self-conscious emotions) involving elaborated forms of reasoning, such as self-attribution of responsibility and counterfactual reasoning. Examples of complex emotions are regret and guilt. We illustrate our logical approach by formalizing some case studies concerning an intelligent house taking care of its inhabitants.

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