64 lines
1.8 KiB
Markdown
64 lines
1.8 KiB
Markdown
# Research-Swarm - Distributed Research Collaboration
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## Overview
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Distributed research graph with collaborative literature review, hypothesis generation, experimental validation, and knowledge synthesis.
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## Purpose
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Model how multiple research agents can collaborate on scientific research through shared knowledge graphs.
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## Operations
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- **Papers Reviewed**: 5 (literature search)
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- **Hypotheses Generated**: 3 (synthesis)
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- **Experiments Conducted**: 3 (validation)
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- **Synthesized Knowledge**: 3 research methods
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## Results
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- **Throughput**: 2.01 ops/sec
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- **Latency**: 486ms avg
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- **Papers Reviewed**: 5
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- **Hypotheses**: 3
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- **Experiments**: 3
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- **Research Methods**: 3
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- **Confirmation Rate**: 67% (2/3 confirmed)
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## Technical Details
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### Research Workflow
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```
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1. Literature Review
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├── Agent 0: Neural architecture search
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├── Agent 1: Few-shot learning methods
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└── Agent 2: Transfer learning strategies
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2. Hypothesis Generation
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└── Synthesize insights from papers
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→ "Combining meta-learning with architecture search
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improves few-shot performance"
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3. Experimental Validation
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└── Test hypothesis
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→ Result: Confirmed (92% confidence)
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4. Knowledge Synthesis
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└── Create reusable research method
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→ "meta_architecture_search_protocol"
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```
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### Causal Links
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Papers → Hypotheses (support relationships)
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Hypotheses → Experiments (validation links)
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## Applications
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- **Academic Research**: Literature meta-analysis
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- **Drug Discovery**: Hypothesis generation
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- **Materials Science**: Property prediction
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- **AI Research**: AutoML and architecture search
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## Research Capabilities
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- Collaborative literature review
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- Hypothesis generation from synthesis
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- Experimental design and validation
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- Method reusability and composition
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**Status**: ✅ Operational | **Package**: research-swarm
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