Rule-based AI Agent

A Rule-based AI Agent is an AI agent that follows predefined rules (to perform agent tasks through explicit instructions and conditional logic).

• Context:
  • It can (typically) execute Agent Actions based on predefined rule sets.
  • It can (typically) process Input Data through if-then logic.
  • It can (typically) follow explicit instructions from domain experts.
  • It can (often) handle business processes through automated workflows.
  • It can (often) make Decisions based on static knowledge base.
  • ...
  • It can range from being a Simple Rule Engine to being an Expert System, depending on its rule complexity.
  • It can range from being a Domain-Specific Rule Agent to being a Multi-Domain Rule Agent, depending on its rule coverage.
  • ...
• Examples:
  • Medical Expert Systems, such as:
    • MYCIN System (1976), implementing medical diagnosis rules.
  • Business Rule Engines, such as:
    • Process Automation Agents for workflow management.
    • Decision Support Systems for structured decision making.
  • ...
• Counter-Examples:
  • Learning-based AI Agents, which modify behavior through experience.
  • Neural Network Systems, which lack explicit rules.
  • Adaptive Algorithms, which change behavior patterns dynamically.
• See: Expert System, Business Rule Engine, Decision Support System, Logic-Based AI.

---