Dreams, Improvisation, and AI: The Universal Nature of Generative Cognition
Rick Sladkey
Computer Scientist | Independent AI researcher and enthusiast | Open source author and advocate | Creator of Meta-Query | Linking deep academic theory to practical technical applications | Capgemini
The Necessity of Dreams
Forms of Cognitive Improvisation
The Illusion of Control
Delegation of Cognitive Load
The Utility of Generation
Parallels Between Human and AI Cognition
Universal Aspects of Cognition
Implications for Understanding Intelligence
Conclusion
The parallels between human dreaming, improvisation, and AI generation suggest fundamental similarities in how cognition works across different forms of intelligence. Whether in human dreams or AI responses, we see the same basic processes: pattern recognition, recombination, and generation of novel outputs. This suggests that at some fundamental level, cognition follows universal principles, regardless of its biological or artificial implementation.
These similarities might help us better understand both human and artificial intelligence, while also suggesting new approaches to AI development that mirror the proven successful strategies of biological cognition.