Cognition Engines, page-48

A cognitive engine is a collection of machine learning algorithms that can analyze data, make decisions, and adapt to their environment. They are used in a variety of fields, including healthcare, manufacturing, and computer networks.

How they work

• Analyze data: Cognitive engines analyze data to identify patterns and deviations.
• Make decisions: Cognitive engines use learning algorithms to make decisions based on their observations.
• Adapt: Cognitive engines can adapt to their environment and make intelligent changes to achieve their goals.

Where they are used

• Healthcare

  Cognitive engines can be used to analyze patient data and help with diagnosis and treatment.
• Manufacturing

  Cognitive engines can be used to help with production planning and quality control.
• Computer networks

  Cognitive engines can be used to monitor network performance and detect anomalies.

Examples of cognitive engines

• Cognition Engine by AppDynamics: Analyzes transaction-based performance data to help identify and resolve issues
• Cognitive Engine in Cognitive Radios: Uses learning algorithms to observe the environment and make decisions
• Cognitive Engines by AI for industrial cobotics and health: Uses AI technology based on reward-based learning to mimic the brain's memory

in general yes, specific to SOR? No.