<p>In the context of neuromorphic computing, the goal of this work is to construct a solution that is useful both as a Medical and Health application and as a Decision Support System (DSS) that can be considered a specialized component for producing artificial emotions within more complex solutions than artificial full rational intelligence. In this way, it facilitates the transition from artificial rational or vaguely rational decision-makers to artificial rational-emotive decision-makers. We introduce a neuromorphic intelligence engine, drawing inspiration from key neurotransmitters and hormones, including Adrenaline, GABA, Dopamine, Serotonin, Oxytocin, Endorphins, and Cortisol. The real and complete technological engine is examined within the realm of emotional and affective computing, extending its relevance to the broader domain of artificial intelligence characterized by including not only rationality but also emotional, affective, and cognitive dimensions. The framework allows the system to explore states akin to happiness, fear, pleasure, stress, serenity, and more. Consequently, the system evolves beyond a purely rational entity, transforming into a solution that closely mimes human thought processes—governed not only by logic but also influenced by emotions, affections, and cognitions modulated by neurotransmitters and hormones, artificially reproduced via software as in human case. In the current version, which aims to highlight the innovative value of the technological solution, the engine receives as input a set of parameters called Critical Success Factors (CSFs), each representing the state of a specific neurotransmitter. Based solely on the CSFs input, the engine generates not only the initial emotional and affective state and the target final state, but more importantly, the emotional/affective transitions that occur along the trajectory. Therefore, rather than merely interpreting or recognizing emotional and affective states, the system can mimic them, with detailed control over the transitions from one emotional/affective state to another. This offers a solution that can be integrated into various systems aiming to expand purely rational and generative artificial intelligences into new forms of more human-like artificial intelligence, incorporating emotional and affective dimensions into the AI itself. The result is a quantitive and new computational technology within complexity theory, which not only can examine complex human scenarios with emotional/affective states and how these are related to neurotransmitters—allowing the platform to project the effect of neurotransmitter stimulation and to research the effect on the intended emotional/affective state in humans—but also act as a computational engine that allows the transition from being exclusively a rational artificial intelligence to also being affective and emotional. The system can accommodate 78,125 different emotional/affective states, as a function of the possible values of the considered neurotransmitters.</p>