A streamlined approach to human-centered, adaptable system design
The Cognitive-Bayesian Adaptive Architecture (CBAA) Framework is a revolutionary approach to system architecture that combines psychological principles with uncertainty management to create more effective, human-centered technology designs.
Prior knowledge & mental models
Cognitive load & principles
Uncertainty & evidence
Adaptation & feedback
The CBAA Framework applies cognitive psychology to anticipate how humans will interact with systems and optimize designs to work with rather than against human thinking patterns.
Systems should align with how users think about tasks, not how the system is built.
Reveal functionality as needed rather than all at once.
Account for common thinking patterns that affect decision-making.
The CBAA Framework uses Bayesian principles to formally manage uncertainty and update architectural decisions as new information emerges.
Initial beliefs
New information
Updated beliefs
P(Belief|Evidence) ∝ P(Evidence|Belief) × P(Belief)
Explicitly represent confidence levels in architectural decisions.
Change architectural decisions based on new information.
Guidelines for when to gather more information versus proceeding.
| Decision Impact | Confidence Threshold | Action |
|---|---|---|
| High | >80% | Proceed |
| High | <80% | Gather evidence |
| Medium | >60% | Proceed |
| Low | >40% | Proceed |
Compare options considering both value and likelihood.
The CBAA Framework treats adaptability as a first-class architectural concern, designing systems that can evolve gracefully as requirements and conditions change.
Create independent components that can evolve separately.
Define stable interfaces between components to enable change.
Create systems to detect needed changes.
Continuously improve system performance based on experience.
A financial dashboard team used the CBAA Framework to create a solution.
Based on goals, not products
Max 3 options with confidence levels
Modular for regulatory updates