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Intelligent systems - Coggle Diagram

- - - - Forward chaining
      - Backwards chaining
  - - - Logical consistency
    - - "What-if" scenarios
    - - "Rules-of-thumb"
    - - Partial truths
    - - Hierarchical categorisation of knowledge
    - - Deep learning
        
        Pros
        
        Adaptable
        
        Learn from new data automatically
        
        Complex decisions
        
        Non-linear
        
        Ambiguous data
        
        Scalable
        
        Enterprise datasets
        
        Accurate
        
        Predictions
        
        Pattern recognition
        
        Cons
        
        Data dependency
        
        Labelled data
        
        Specialised hardware (GPUs)
        
        Difficult to interpret decisions
        
        Computational power
  - - - Predefined rules
      - Repetitive
    - - Adaptable
      - Uses AI and NLP
  - - - Image/facial recognition
      - NLP
      - Anomaly detection
      - Medical diagnosis
  - - - Knowledge base reliance
      - No novel problems
      - Expensive
      - Time consuming
    - - Consistent, reliable decision making
      - Automation increase productivity
      - Expert-level advice
  - - - Speed & capability
      - CPUs, GPUs
      - Multi-core processors
      - Real-time
      - Large-scale inference
      - Probabilistic model
      - Cloud computing
    - - Enterprise database
      - APIs
      - Sensors
      - Internet
      - Impact
        
        Learn from data
        
        ML
        
        Accurate
        
        Customisable recommendations
    - - Computing infrastructure
        
        Servers
        
        Storage
        
        Sensors
      - More feasible
      - Cloud infrastructure
        
        Scalable
    - - ML models
      - Interconnected nodes
      - Learn patterns
      - For ambiguous, noisy, incomplete data
      - For probabilistic outcoemes
      - Image recognition
      - NLP
      - Speech recognition
    - - Web analysis
        
        Site usage
        
        Link structure
        
        User behavior
      - Dynamic, real-time info
        
        Web scraping
        
        API integration
      - Adapt, respond to changes
        
        User trends
        
        Digital environments
      - Decision making
        
        SEO
        
        Customer support
- - - - High customisation
      - Adaptive
  - - - Immediate decision making
- - - - Mathematical, financial, simulation models
    - - Expert knowledge
      - Rules
      - Recommend action
    - - Group collaboration
    - - Collect, store, manipulate
      - Large data
  - - - Inventory levels, logistics, market trends
      - Predictive analytics
      - ML
    - - Clinical DSS
        
        Computerised alerts and reminders
        
        Clinical guidelines
        
        Condition-specific order sets
        
        Focused data reports and summaries
        
        Documentation templates
        
        Diagnostic support
        
        Contextually relevant reference information
      - Diagnosis
      - Recommend treatment
    - - Assess loan
      - Credit scoring system
    - - Route planning
      - Fleet management
    - - Smart farming
      - Weather, soil, crop data
  - - - Highly certain & defined
      - Minimal human input
      - Full automation
      - Routine, repetitve decision
    - - Rules + human insight
      - Quantitative + qualitative
    - - High uncertainty
      - No standard procedure
      - Context-dependent