Simulation of Human and Artificial Emotion (SHArE)
This foundational work addresses emotion modeling for both human mental health and AI interpretability, but it is incremental as it builds on existing interdisciplinary concepts without presenting new empirical results.
The SHArE framework proposes an architecture for emotion with parameters transferable across psychology, neuroscience, and AI, enabling emotional trajectory design for human therapy and a notation for observing emotions in machines.
The framework for Simulation of Human and Artificial Emotion (SHArE) describes the architecture of emotion in terms of parameters transferable between psychology, neuroscience, and artificial intelligence. These parameters can be defined as abstract concepts or granularized down to the voltage levels of individual neurons. This model enables emotional trajectory design for humans which may lead to novel therapeutic solutions for various mental health concerns. For artificial intelligence, this work provides a compact notation which can be applied to neural networks as a means to observe the emotions and motivations of machines.