Reasoning based on what the current state of the world would be or would not be if I had acted differently, i.e. if I had performed or had not performed a certain action. For example, if I had slept this morning, I would be less tired; if I had not run this morning, I would feel sad; if I had taken the train instead of my car, I would not be caught in a traffic jam; if I had bought petrol earlier, I would not have run out of petrol on the freeway.
Published in Chapter:
Logical Modeling of Emotions for Ambient Intelligence
Carole Adam (RMIT University, Australia), Benoit Gaudou (UMI 209 UMMISCO, IRD, IFI, Vietnam), Dominique Login (University of Toulouse, CNRS, IRIT, France), and Emiliano Lorini (University of Toulouse, CNRS, IRIT, France)
Copyright: © 2011
|Pages: 20
DOI: 10.4018/978-1-61692-857-5.ch007
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.