Abstract
In this chapter and following in this dissertation, we will differentiate artificial emotion from computational emotion in the sense that the former will refer to the complete phenomena that an artificial system might deploy, and the later will refer to the set of models that might allow for that phenomena.
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At this precise point we are referring feeling and not the knowing of feeling.
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We are referring herein the influence of c-emoGoals over c-Concerns. However, this same effect will be accepted regarding the influence of c-Concerns over a-Dimensions, but it is not described here in order to maintain coherence: the term a-Dimension has not still described.
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The concept of v-State should be associated to the concept of episodic memory too, and it will be described later in this dissertation.
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Viewpoint on a system under ISO/IEC 10746-1:1998, 6.2.2 is an abstraction that yields a specification of the whole system related to a particular set of concerns.
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View on a system under ISO/IEC 10746-1:1998, 6.2.2 is a form of abstraction achieved using a selected set of of architectural constructs and structuring rules, in order to focus on a particular concern within the system.
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We refer here to the property of mathematical compactness to generalize the notion of an entity with information that maintains itself closed and bounded.
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Wikipedia [270].
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Invariant facts are featured by its scopes that can be modified by the experience.
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In the sense of Damasio that comes from the real environment.
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It is highlighted that we now are referring ‘inner operation’ to allude sets of processes (either part or the complete set) required for the accomplishment during the CE of López Paniagua [151].
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Damasio references [109] regarding the concept of internal stimulation.
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This is one of the commonly accepted appraisal dimensions.
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Sánchez-Escribano, M.G. (2018). Principles for Computational Emotion. In: Engineering Computational Emotion - A Reference Model for Emotion in Artificial Systems. Cognitive Systems Monographs, vol 33. Springer, Cham. https://doi.org/10.1007/978-3-319-59430-9_4
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DOI: https://doi.org/10.1007/978-3-319-59430-9_4
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