
TL;DR
This paper develops a formal ontological framework for understanding love as a combination of passive sensations and active judgments, aiming to support interdisciplinary scientific and AI applications.
Contribution
It introduces a novel ontological model of love based on BFO, integrating affective and cognitive components with causal links, for formal scientific analysis.
Findings
Love can be modeled as concatenation of sensations and judgments
A causal correlation model links affective and cognitive components
Provides a scalable ontological foundation for interdisciplinary research
Abstract
This work lays the foundations for a rigorous ontological characterization of love, addressing its philosophical complexity and scientific relevance, with particular emphasis on psychology and sociology, as well as highlighting ways in which such characterization enhances relevant AI based applications. The position defended here is that love is best understood as a concatenation of passive sensations (e.g., emotional arousal) and active evaluative judgments (e.g., perceiving the beloved as valuable), in the interest of balancing the involuntary aspects of love with its rational accountability. To provide a structured foundation, the paper draws on Basic Formal Ontology (BFO) and other applied ontological methods to differentiate various senses of love. This work engages with objections to the understanding of love as concatenation, particularly concerning the relationship between…
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Taxonomy
TopicsPsychology of Moral and Emotional Judgment · Emotions and Moral Behavior · Social Robot Interaction and HRI
