Divine, Familial, and Human-Value Inspirations for Artificial Intelligence: A Conceptual Framework Linking Genetic Algorithms, Particle Swarm Optimisation, Artificial Neural Networks, and the Krishna and Rama Archetypes

Artificial intelligence (AI) has repeatedly borrowed from nature, biology, and human society: genetic algorithms (GAs) from heredity and evolution, particle swarm optimisation (PSO) from the social behaviour of flocks, and artificial neural networks (ANNs) from the brain. This article proposes a conceptual and philosophical framework that reads these techniques through the lens of Indian spiritual traditions and everyday human relationships. God and human parents serve as the source of inheritance and guidance, Lord Krishna and Lord Rama as archetypes of wise counsel and righteous conduct, and fifteen values and relationships of daily life as design inspirations for learning systems. These ideas are synthesised into a unified construct, FFMBSTANDEMHRKLSPHIAI, expressed as a multi-objective training objective with human-set weights, together with three derived archetypes: Parents-Inspired AI, Krishna AI, and Rama AI. To show that the objective is operational, a small and fully reproducible demonstration embeds a fairness-type value term in the fitness functions of a GA and of PSO on synthetic data. A modest penalty weight reduced a demographic-parity gap by about 87% at a cost of about two percentage points of accuracy, whereas larger weights degraded both criteria, illustrating the value of knowing when “enough” is reached. The framework is metaphorical and heuristic, makes no claim about the historical origin of the algorithms, and is intended to stimulate human-centred, value-aligned, and culturally respectful AI design and subsequent empirical testing. Keywords: artificial neural network; Ramayana; Genetic algorithm; particle swarm optimisation; value-aligned AI; human-centred AI; Bhagavad Gita; Parents-Inspired AI