Predictive ProcessingAnticipatory AIForecastingAdaptive Systems
Predictive Cognition
By Montrel Hutto · Published by Eziah AI · 2025
Abstract
Predictive Cognition examines intelligence as fundamentally anticipatory. Drawing on predictive processing theory and modern foundation models, it proposes that the most capable cognitive systems are those that continuously forecast their environment and act to minimize prediction error.
Key Concepts
- Cognition as continuous prediction and error minimization
- Anticipatory action as the basis of intelligent behavior
- Adaptive priors and self-correcting feedback loops
- Applications in autonomous planning and strategic foresight
Summary
The paper argues that anticipation, not reaction, is the defining feature of advanced cognition. It outlines design principles for AI systems built around continuous forecasting, adaptive priors, and feedback-driven correction, and discusses applications in decision-making, planning, and autonomous systems.
Citation
Montrel Hutto. (2025). Predictive Cognition. Eziah AI. https://eziah.ai/research/predictive-cognition
- Author
- Montrel Hutto
- Publisher
- Eziah AI
- Year
- 2025
- Format
- White Paper (PDF)
- Canonical URL
- https://eziah.ai/research/predictive-cognition