FE987—Perchance To Dream,
Why We NEED Artificial Worlds

Humans require artificial worlds to become fully human. Story, symbolism, rehearsal, play, and dreaming are not entertainment layers added on top of cognition—they are the architecture through which cognition develops, repairs, and extends itself. We learn by simulating possibilities, heal by rewriting internal narratives, and grow by exploring fictional or symbolic environments where identity can safely adapt. These constructed worlds—myths, games, dreams, and immersive simulations—form the second half of intelligence itself, providing the integrative functions that raw perception cannot. This raises a profound implication for artificial intelligence: a machine that cannot dream may calculate, but it cannot become intelligent. As this essay suggests, “Until machines can dream—not only CAN dream, but NEED to dream—perhaps AGI is not even possible.” FE987 argues that artificial worlds are not escapism, but the cognitive infrastructure through which both humans—and eventually machines—achieve deeper forms of intelligence.

This Foundational Essay shares its underlying principles with the iProp CBA—CBA1771—whose member companies research and implement games, simulations, immersive experiences, and other artificial worlds. These environments enrich human lives, but they also reveal where artificial intelligence remains fundamentally incomplete. By studying how humans learn, heal, and grow through simulated worlds, the iProp CBA helps illuminate the gaps in current AI systems and the deeper architecture required for machines to achieve anything resembling general intelligence.