Agentic Paradigms Quick Reference Card
The Two Fundamental Trade-offs
TRADE-OFF 1: RELIABILITY ← → CREATIVITY
├── IMPLICIT KNOWLEDGE (Creative)
│ └── Model parameters as source of truth
│ └── Risk: Hallucination
└── EXPLICIT KNOWLEDGE (Reliable)
└── External sources as source of truth
└── Risk: Rigidity
TRADE-OFF 2: SAFETY ← → AUTONOMY
├── EVENT COGNITION (Safe)
│ └── Understand and advise
│ └── Human makes decisions
└── GOAL EXECUTION (Autonomous)
└── Plan and execute
└── Agent takes action
The Four Paradigms at a Glance
| Paradigm | Knowledge | Agency | One-Liner |
|---|---|---|---|
| Latent Space Clinician (LSC) | Implicit | Cognition | Creative synthesis from internal knowledge |
| Grounded Synthesizer (GS) | Explicit | Cognition | Evidence-based information synthesis |
| Emergent Planner (EP) | Implicit | Execution | Autonomous multi-step planning |
| Verifiable Workflow Automator (VWA) | Explicit | Execution | Protocol-driven process execution |
Five Technical Components
1. Strategic Planning
| Component | LSC | GS | EP | VWA |
|---|---|---|---|---|
| Decomposition | Chain-of-thought | Query dependency graph | Cognitive maps | Protocol mapping |
| Iteration | Self-consistency | Gap-filling loops | Self-reflection | Closed-loop correction |
2. Memory Management
| Component | LSC | GS | EP | VWA |
|---|---|---|---|---|
| Parametric | Knowledge source | Query generator | Strategic engine | Intent parser |
| Non-Parametric | Context window | Evidence ledger | Workflow log | State register |
3. Action Execution (Explicit paradigms only)
| Action Type | GS Purpose | VWA Purpose |
|---|---|---|
| Knowledge-Based | Logical grounding via KG | Verifiable inference via DB |
| Search-Based | Forage-Constrain-Attribute | Optimize-Route-Validate |
| Tool-Use | Liability offloading | Clinical orchestration |
4. Collaboration
| Topology | Description | Best For |
|---|---|---|
| Single-Agent | One model handles all | Simple tasks |
| Dominant (Hierarchical) | Central orchestrator delegates | Complex workflows |
| Distributed (Peer-to-Peer) | Agents negotiate consensus | Ambiguous decisions |
5. Evolution
| Paradigm | What Evolves | How |
|---|---|---|
| LSC | Model parameters | Continual learning |
| GS | Query strategies | Efficiency optimization |
| EP | Action policies | RL / meta-learning |
| VWA | Workflow components | Evolutionary refinement |
Decision Matrix
When to Use Each Paradigm
HIGH STAKES?
NO YES
┌─────────────────┬─────────────────┐
│ │ │
NEEDS │ LSC │ GS │
CREATIVITY │ (Creative + │ (Reliable + │
│ Advisory) │ Auditable) │
│ │ │
├─────────────────┼─────────────────┤
│ │ │
NEEDS │ EP │ VWA │
EXECUTION │ (Flexible + │ (Predictable + │
│ Autonomous) │ Compliant) │
│ │ │
└─────────────────┴─────────────────┘
Key Patterns Cheat Sheet
LSC Pattern: Chain-of-Thought + Self-Consistency
Query → Multiple reasoning paths → Vote → Consensus answer
GS Pattern: Decompose + Ground + Cite
Query → Sub-queries → Retrieve evidence → Synthesize with citations
EP Pattern: Plan + Execute + Reflect + Adapt
Goal → Cognitive map → Execute step → Reflect → Adjust plan → Repeat
VWA Pattern: Map + Validate + Execute + Log
Request → Match protocol → Validate preconditions → Execute → Audit trail
Risk Mitigation Quick Reference
| Risk | LSC Mitigation | GS Mitigation | EP Mitigation | VWA Mitigation |
|---|---|---|---|---|
| Hallucination | Human validation | Evidence firewall | Reflection checkpoints | Protocol constraints |
| Staleness | Periodic fine-tuning | Source updates | Policy updates | Workflow versioning |
| Cascade Failure | N/A (advisory) | Source diversity | Rollback capability | Circuit breakers |
| Compliance | Not recommended | Audit trails | Human escalation | Built-in logging |
Enterprise Application Mapping
| Use Case | Primary Paradigm | Supporting Paradigm |
|---|---|---|
| Document Generation | GS | LSC (creativity) |
| Data Entry Automation | VWA | - |
| Customer Support | GS | LSC (empathy) |
| Process Automation | VWA | EP (exceptions) |
| Research Synthesis | GS | LSC (insights) |
| Strategic Analysis | LSC | GS (grounding) |
| Compliance Reporting | VWA | GS (verification) |
| Exception Handling | EP | VWA (escalation) |
Memory Architecture Reference
┌─────────────────────────────────────────────────────────────┐
│ MEMORY STACK │
├─────────────────────────────────────────────────────────────┤
│ STATIC LAYER │
│ └── Business rules, protocols, domain knowledge │
├─────────────────────────────────────────────────────────────┤
│ DYNAMIC LAYER │
│ └── Session state, workflow progress, entity tracking │
├─────────────────────────────────────────────────────────────┤
│ AUDIT LAYER │
│ └── Action logs, decision traces, compliance records │
├─────────────────────────────────────────────────────────────┤
│ LEARNING LAYER │
│ └── Pattern cache, optimization data, feedback history │
└─────────────────────────────────────────────────────────────┘
Collaboration Topology Selection
Single Agent ← Choose when →
✓ Task is simple and well-defined
✓ Low complexity
✓ Resource constraints
Dominant Topology ← Choose when →
✓ Clear hierarchy needed
✓ Complex multi-step workflows
✓ Centralized control preferred
Distributed Topology ← Choose when →
✓ Multiple perspectives needed
✓ Ambiguous decisions
✓ Peer review beneficial
Metrics Reference
| Category | Key Metrics |
|---|---|
| Accuracy | Completion rate, Error rate, Compliance score |
| Efficiency | Latency, Human touches per task, Cycle time |
| Quality | Citation accuracy, Reasoning validity, User satisfaction |
| Safety | Escalation rate, Rollback frequency, Audit findings |
Implementation Checklist
For Any Paradigm
- Define clear component boundaries (Planning, Memory, Action, etc.)
- Implement appropriate memory architecture
- Establish evolution mechanism
- Create audit logging
- Build human escalation paths
For Explicit Paradigms (GS, VWA)
- Define knowledge sources
- Implement evidence firewalling
- Create citation/attribution system
- Validate source freshness
For Execution Paradigms (EP, VWA)
- Define rollback mechanisms
- Implement circuit breakers
- Create state persistence
- Build monitoring dashboards
Source Reference
Paper: "Reinventing Clinical Dialogue: Agentic Paradigms for LLM-Enabled Healthcare Communication"
Authors: Zhi, Zhao, Wu, Zhao, Zhu (Tianjin University, Chinese Academy of Sciences)
Scope: 300+ papers surveyed | Dec 2025
Primary Contribution: Two-axis taxonomy for agentic systems (Knowledge Source × Agency Objective)