The Scope of Emotionics Emotionics does not attempt to define consciousness, nor does it replace logic or algorithms. Its scope lies strictly between them. More precisely, Emotionics focuses on the layer of abstraction and emotions that exists between : • Consciousness & the Unconscious , and • Logic & Algorithms This intermediate layer is often overlooked in modern AI and AGI development, despite its critical role in human decision-making. Why Logic Alone Cannot Reach Consciousness In current AGI research, enormous effort is invested in advancing: • logical reasoning, • algorithms, • optimization, • and large-scale computation. These approaches are undeniably powerful. However, even if logic and algorithms are pushed to their absolute limits, they do not naturally lead to consciousness or the unconscious . This is not a matter of insufficient scale or data. It is a structural limitation . Logic and algorithms operate on explicit rules, formal structu...

Emotionics Library Emotionics is a lightweight experimental library for exploring how emotional signals can be abstracted from text using LLMs and a structured emotional framework. pip install emotionics Emotionics does NOT: - diagnose mental states - judge individuals - predict behavior - manipulate emotions It estimates emotional signals in text, nothing more. Reasons I built emotionics because purely statistical or purely linguistic approaches felt insufficient to describe how humans actually react, decide, and communicate. LLM × Emotionics = emotionics library Emotionics does not replace LLMs. It works with LLMs by providing a structured lens to interpret emotional patterns already present in text. What the emotionics library can do • extract emotion-related signals • map them to a structured schema • experiment with temporal or contextual tendencies Expected Users This library is intended for: • researchers • developers interested in human-centered AI • pe...

What is EmotionicsAPI? About EmotionicsAPI EmotionicsAPI estimates the writer’s emotional signals from text. It estimates—it does not determine, diagnose, or judge. Why can EmotionicsAPI estimate emotions from text? EmotionicsAPI = LLM × Emotionics (theory) . It is not “only LLM” and not “only Emotionics,” but the combination of both. LLMs learn emotion-related language patterns from large-scale text data, while Emotionics provides a structured theoretical framework to interpret those patterns. By combining statistical representations from LLMs with the structural theory of Emotionics, EmotionicsAPI can estimate emotional signals in text. About other models (e.g., Gemini) I have not tested the Gemini API yet, so I cannot comment on its performance in this setup. Currently, EmotionicsAPI is implemented using the ChatGPT API. Emotionics Books Emotionics EN https://www.amazon.co.jp/dp/B0G48MBT5K Emotionics JP https://www.amazon.co.jp/dp/B0G42W2CJL Emotionics: How Emotions React Like Chemi...

 I uploaded a short demo video related to Emotionics. Details and the video are available on GitHub. https://github.com/Kouhei-Takagi/Project-SAYA/tree/main/emotionics_api

Emotional Periodic Table 3.0 In the latest version of Emotionics, the Emotional Periodic Table 3.0 , the structure of human emotions has been refined through three major updates. 🔧 Key Updates 1. Splitting Surprised (Su) into Su+ and Su− • Su+ (Surprised Positive): A positive surprise that triggers a transition from unpleasant → pleasant • Su− (Surprised Negative): A negative surprise that triggers a transition from pleasant → unpleasant Because unexpected events create completely different emotional reactions depending on their direction—positive or negative—this distinction was essential. 2. Swapping the positions of Pleasure (P) and Comfortable (Cm) Comfortable, a calm and low-activation form of pleasantness, naturally fits as the symmetrical counterpart to Discomfort (Dc). To maintain left–right balance in the periodic structure, their positions were adjusted. Pleasure, which is closer to Joy and Satisfaction, has been repositioned as a more “high-activation” pleasant e...