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sAGENTIC SYSTEMS
WHAT is an Agentic System?
An Agentic System is a network of intelligent agents that:
- Understand objectives
- Break goals into tasks
- Execute actions
- Coordinate with other agents
- Learn from feedback
- Optimize outcomes over time
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WHY Agentic Systems?
Traditional AI:
- Answer questions
- Generate content
- Predict outcomes
Agentic Systems:
- Do work
- Execute tasks
- Manage workflows
- Operate systems autonomously
Key Advantages
Autonomy
Reduces human workload
Scalability
Multiple agents work in parallel
Intelligence
Multi-step reasoning and planning
Adaptability
Learns from environment
Efficiency
Optimizes complex workflows
Use Cases
- Smart cities
- Digital twin governance
- Business automation
- Supply chains
- Finance systems
- Healthcare systems
- Cybersecurity
- Robotics systems
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HOW Agentic Systems Work
Agent Lifecycle
1. Receive Goal
2. Understand Context
3. Plan Tasks
4. Assign Sub-agents
5. Execute Actions
6. Evaluate Results
7. Improve Strategy
8. Repeat Loop
AGENTIC SYSTEM ARCHITECTURE
Full Stack Architecture
USER INTERFACE / COMMAND LAYER
ORCHESTRATION LAYER
MULTI-AGENT SYSTEM
MEMORY + KNOWLEDGE GRAPH
TOOL USE LAYER (APIs, DBs)
EXECUTION ENGINE
OBSERVABILITY + GOVERNANCE
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EXAMPLE: SMART CITY AGENTIC SYSTEM
Scenario: Traffic Optimization
Goal
Reduce city traffic congestion by 30%
Step 1: Planner Agent
Breaks goal into:
- Traffic data collection
- Congestion hotspot detection
- Signal optimization
- Route redistribution
Step 2: Data Agent
Collects:
- GPS data
- Traffic sensors
- Weather data
- Event schedules
Step 3: Reasoning Agent
Finds:
- Peak congestion zones
- Bottleneck intersections
- Time-based traffic patterns
Step 4: Action Agent
Executes:
- Adjusts traffic signals
- Re-routes vehicles
- Updates navigation systems
Step 5: Monitoring Agent
Tracks:
- Travel time reduction
- Congestion levels
- Emissions reduction
Result
|
KPI |
Before |
After |
|
Congestion |
100% |
68% |
|
Travel Time |
45 min |
31 min |
|
Emissions |
High |
Reduced 25% |
