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Meta-Reasoning(MR)
Higher-order reasoning about reasoning processes, including strategy selection and monitoring
In 30 seconds
- What
- Agent monitors and selects its own reasoning strategies, switching approaches based on task type and performance feedback.
- When to use
- Complex multi-domain problems where different sub-tasks need different reasoning methods and the agent must adapt mid-execution.
- Watch out
- Overhead of strategy selection and monitoring can exceed savings from better approach choice, especially on simple or time-constrained tasks.
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Meta-Reasoning: Overview
Higher-order reasoning about reasoning processes, including strategy selection and monitoring
- Reasoning strategy selection
- Multi-level reasoning coordination
- Strategy performance monitoring
- Dynamic strategy switching
- Cross-domain strategy transfer
- Meta-cognitive monitoring
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References
The papers, specifications, and repositories this pattern is based on.
- Establishing Meta-Decision-Making for AI: An Ontology of Relevance, Representation and Reasoning (ArXiv 2022)arXiv:2210.00608
- A meta-cognitive architecture for planning in uncertain environments (ScienceDirect 2013)
- Meta-Reasoning in Agents - Evidence-Based Advances in Reflective AI Systems (Computer Society)
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