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Visual Reasoning Patterns(VRP)
Visual representation patterns for agent reasoning, decision-making processes, and cognitive transparency
In 30 seconds
- What
- Displays agent reasoning steps, decision paths, confidence scores, and data sources through interactive diagrams, trees, and progress indicators.
- When to use
- Users need to understand why an agent chose an action, verify complex multi-step decisions, or audit high-stakes recommendations.
- Watch out
- Visual complexity can obscure rather than clarify; users may misinterpret confidence scores as guarantees or ignore low-confidence warnings.
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Visual Reasoning Patterns: Overview
Visual representation patterns for agent reasoning, decision-making processes, and cognitive transparency
- Agent reasoning process visualization and decision trees
- Step-by-step progress indicators for complex workflows
- Confidence metrics and uncertainty visualization
- Source highlighting and information provenance display
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References
The papers, specifications, and repositories this pattern is based on.
- The Mythos of Model Interpretability (Lipton, 2018)
- Visualizing and Understanding Neural Networks (Zeiler & Fergus, 2014)arXiv:1311.2901
- LIME: Explaining Machine Learning Predictions (Ribeiro et al., 2016)
- Google AI Explainability - Model Cards and Visualizations
- Microsoft Responsible AI - Interpretability Toolkit
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