“…Two advantages for using emotions can be given. First, emotions contribute in the reduction of the set of all possible actions by eliminating those associated with negative emotions [4]. Second, they permit to react rapidly to urgent situations (for example the fear emotion leads to the run action: to run away in face of a danger) [13].…”
The BDI models are among the best known agent's formalizations. They are based on the three mental attitudes: belief, desire and intention. Many of the BDI models do not admit degrees of belief, desire and intention. Parsons and Giorgini gave a semantic to the belief degree but not for desire and intention.The purpose of this paper is to continue the work of Parsons and Giorgini, by including desire and intention degrees. Another improvement of the BDI formalization is to add the emotion and physical state to the elements influencing the decision making. We illustrate the interaction between all these different concepts by proposing the (CDI)° architecture.
“…Two advantages for using emotions can be given. First, emotions contribute in the reduction of the set of all possible actions by eliminating those associated with negative emotions [4]. Second, they permit to react rapidly to urgent situations (for example the fear emotion leads to the run action: to run away in face of a danger) [13].…”
The BDI models are among the best known agent's formalizations. They are based on the three mental attitudes: belief, desire and intention. Many of the BDI models do not admit degrees of belief, desire and intention. Parsons and Giorgini gave a semantic to the belief degree but not for desire and intention.The purpose of this paper is to continue the work of Parsons and Giorgini, by including desire and intention degrees. Another improvement of the BDI formalization is to add the emotion and physical state to the elements influencing the decision making. We illustrate the interaction between all these different concepts by proposing the (CDI)° architecture.
“…In direct interaction among agents, it is necessary to find a comfort APS, which is highly dependent on the emotional status of both agents. There are wide areas of research where emotion is used for human-robot interaction [12][13][14], in which the concept of APS and its dependence on emotions can be incorporated for further advancement. The notion of personal space was introduced by E. T.…”
This paper focuses on the determination of active personal space (APS) for a service robot based on emotional status. This is required for human-robot interaction at ease. Here, APS means the active distance (relative distance during interaction and action) between the robot and the human. APS is a function of emotion both in the human and in the robot. The other factors which are considered here are age, height, familiarity with robot, and relative motion between robot and human. According to these factors, the changes in APS are shown with graphs. During the experiments two robot emotions are considered: normal and angry. The causes of variation of APS based on the two modes are also explained.
“…Some discussed projects in AI context are: [12], [13], [14], [15], [48], [68], [69], [70], [18], [33], [34], [35], [41], [42], [7], [2], [62] and [31].…”
Section: Emotion-based Computational Systems Problemsmentioning
confidence: 99%
“…In the last decades, neuroscience and psychology research findings about emotion ( [47], [20], [21], [22], [52], [32], [6], [59], [36]), are increasingly attracting the attention of many researchers in Computer Science and Artificial Intelligence (AI) areas (see [18], [57], [56], [34]). …”
Section: Introductionmentioning
confidence: 99%
“…Second area involves emotion-based internal architecture systems ( [69], [48], [51], [18], [7], [56], [34], [35]) with an attempt to also evolve it ([24], [62], [43]). Within this area, further categorization is possible and can be found, for example, in [15] and [72].…”
Abstract. Psychology and cognitive neuroscience researches are increasingly showing how emotion plays a crucial role in cognitive processes. Gradually, this knowledge is being used in Artificial Intelligent and Artificial Life areas in simulation and cognitive processes modeling. However, theoretical aspects of emotion to be employed in computational systems projects are scarcely discussed and very few comparisons are made between projects. Besides, we can notice that there are many open questions emotion-based projects might face to field development. This paper intends to discuss these problems and propose tentative directions to solve them.
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