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Modulation Scheme for Biasing the Emotional Process of Autonomous Agents: A Component-Based Approach

Modulation Scheme for Biasing the Emotional Process of Autonomous Agents: A Component-Based Approach

Sergio Castellanos, Luis-Felipe Rodríguez, J. Octavio Gutierrez-Garcia
Copyright: © 2020 |Pages: 23
ISBN13: 9781799830382|ISBN10: 1799830381|ISBN13 Softcover: 9781799830399|EISBN13: 9781799830405
DOI: 10.4018/978-1-7998-3038-2.ch016
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MLA

Castellanos, Sergio, et al. "Modulation Scheme for Biasing the Emotional Process of Autonomous Agents: A Component-Based Approach." Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence, edited by Kwok Tai Chui, et al., IGI Global, 2020, pp. 339-361. https://doi.org/10.4018/978-1-7998-3038-2.ch016

APA

Castellanos, S., Rodríguez, L., & Gutierrez-Garcia, J. O. (2020). Modulation Scheme for Biasing the Emotional Process of Autonomous Agents: A Component-Based Approach. In K. Chui, M. Lytras, R. Liu, & M. Zhao (Eds.), Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence (pp. 339-361). IGI Global. https://doi.org/10.4018/978-1-7998-3038-2.ch016

Chicago

Castellanos, Sergio, Luis-Felipe Rodríguez, and J. Octavio Gutierrez-Garcia. "Modulation Scheme for Biasing the Emotional Process of Autonomous Agents: A Component-Based Approach." In Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence, edited by Kwok Tai Chui, et al., 339-361. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-3038-2.ch016

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Abstract

Autonomous agents (AAs) are capable of evaluating their environment from an emotional perspective by implementing computational models of emotions (CMEs) in their architecture. A major challenge for CMEs is to integrate the cognitive information projected from the components included in the AA's architecture. In this chapter, a scheme for modulating emotional stimuli using appraisal dimensions is proposed. In particular, the proposed scheme models the influence of cognition on appraisal dimensions by modifying the limits of fuzzy membership functions associated with each dimension. The computational scheme is designed to facilitate, through input and output interfaces, the development of CMEs capable of interacting with cognitive components implemented in a given cognitive architecture of AAs. A proof of concept based on real-world data to provide empirical evidence that indicates that the proposed mechanism can properly modulate the emotional process is carried out.

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