A character intelligence prototype for games and simulations, exploring identity, population generation and adaptive behaviour.
Persona explores character intelligence for games and simulations through structured identity models and prototype population generation.
The work examined genetic foundations, evolutionary variation, learning, memory and interaction as research directions for modelling longer-running character behaviour.
The prototype considered how designer-defined constraints might support believable variation without relying solely on brittle scripting.
Explored defining genetic blueprints through DNA libraries for traits, roles, skills, personalities, and constraints.
Explored diverse character populations through evolutionary algorithms, fitness, balance, and diversity goals.
Explored learning, pattern recognition, and behaviour adaptation through reinforcement and imitation.
Explored persistent-memory concepts for significant events, relationships, and personality.
Image 1 of 6. Persona adaptive character engine title graphic with prototype interface panels
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A recorded overview of Persona's character-data prototype, showing how profiles and variation were explored for RPG, simulation, and narrative pipelines.
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A recorded walkthrough of Persona's genetic-pipeline exploration, showing configuration concepts, generation controls, and metadata ideas for long-running worlds and systemic gameplay.
A prototype exploration of character identity, population generation and behaviour for games and simulations.
Explores character-data workflows for world-building, game-engine integration and runtime simulation.