Title
Affective Cognitive Modeling For Autonomous Agents Based On Scherer'S Emotion Theory
Abstract
In this article, we propose the design of sensory motor level as part of a three-layered agent architecture inspired from the Multilevel Process Theory of Emotion (Leventhal 1979, 1980; Leventhal and Scherer, 1987). Our project aims at modeling emotions on an autonomous embodied agent, a more robust robot than our previous prototype. Our robot has been equipped with sonar and vision for obstacle avoidance as well as vision for face recognition, which are used when she roams around the hallway to engage in social interactions with humans. The sensory motor level receives and processes inputs and produces emotion-like states without any further willful planning or learning. We describe: (1) the psychological theory of emotion which inspired our design, (2) our proposed agent architecture, (3) the needed hardware additions that we implemented on the commercialized ActivMedia's robot, (4) the robot's multi-modal interface designed especially to engage humans in natural (and hopefully pleasant) social interaction, and finally (5) our future research efforts. © Springer-Verlag Berlin Heidelberg 2007.
Publication Date
1-1-2007
Publication Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
4314 LNAI
Number of Pages
19-32
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/978-3-540-69912-5_3
Copyright Status
Unknown
Socpus ID
35448944316 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/35448944316
STARS Citation
Lisetti, Christine L. and Marpaung, Andreas, "Affective Cognitive Modeling For Autonomous Agents Based On Scherer'S Emotion Theory" (2007). Scopus Export 2000s. 7461.
https://stars.library.ucf.edu/scopus2000/7461