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Affective cognitive modeling for autonomous agents based on Scherer's emotion theory
Conference
Lisetti, CL, Marpaung, A. (2007). Affective cognitive modeling for autonomous agents based on Scherer's emotion theory .
EURO-PAR 2011 PARALLEL PROCESSING, PT 1,
4314 LNAI 19-32. 10.1007/978-3-540-69912-5_3
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Lisetti, CL, Marpaung, A. (2007). Affective cognitive modeling for autonomous agents based on Scherer's emotion theory .
EURO-PAR 2011 PARALLEL PROCESSING, PT 1,
4314 LNAI 19-32. 10.1007/978-3-540-69912-5_3
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cited authors
Lisetti, CL; Marpaung, A
authors
Lisetti, Christine
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
January 1, 2007
published in
DISTRIBUTED COMPUTING (DISC 2014)
Book
Identifiers
Digital Object Identifier (DOI)
https://doi.org/10.1007/978-3-540-69912-5_3
International Standard Book Number (ISBN) 10
3540699112
International Standard Book Number (ISBN) 13
9783540699118
Additional Document Info
start page
19
end page
32
volume
4314 LNAI