Artificial Intelligent Entity

An Artificial Intelligent Entity is an intelligent entity that is an artificial system designed to solve intelligence tasks through engineered cognitive processes and programmed behavior patterns.

• Context:
  • It can (typically) process Entity Input Data through artificial neural networks.
  • It can (typically) generate Entity Decisions via computational models.
  • It can (typically) learn from Entity Experience through training processes.
  • It can (often) maintain Entity Knowledge Bases from information acquisition.
  • It can (often) update its Entity Behavioral Models through reinforcement learning.
  • It can (often) interact with Entity Environments via sensor and actuator systems.
  • ...
  • It can range from being a Simple Artificial Intelligent Entity to being a Complex Artificial Intelligent Entity, depending on its entity architecture complexity.
  • It can range from being a Narrow Artificial Intelligent Entity to being a General Artificial Intelligent Entity, depending on its entity capability scope.
  • It can range from being a Rule-Based Intelligent Entity to being a Learning Intelligent Entity, depending on its entity adaptation capability.
  • It can range from being a Supervised Intelligent Entity to being an Autonomous Intelligent Entity, depending on its entity independence level.
  • It can range from being a Specialized Artificial Entity to being a Versatile Artificial Entity, depending on its entity application domain.
  • ...
• Example(s):
  • Software-Based Intelligent Entities, such as:
    • AI Agent Entity, performing autonomous decision making.
    • Expert System Entity, providing specialized knowledge.
    • Game AI Entity, demonstrating strategic behavior.
  • Robotic Intelligent Entities, such as:
    • Industrial Robot Entity, executing complex tasks.
    • Service Robot Entity, interacting with human users.
    • Autonomous Vehicle Entity, navigating physical environments.
  • Embedded Intelligent Entities, such as:
    • Smart Device Entity, adapting to user preferences.
    • Control System Entity, managing complex processes.
    • IoT Device Entity, participating in networked intelligence.
  • ...
• Counter-Example(s):
  • Natural Intelligent Entitys, which evolve rather than being artificial designed.
  • Simple Program Entitys, which lack intelligent behavior.
  • Basic Tool Entitys, which require direct control.
  • Static System Entitys, which cannot learn or adapt.
• See: Artificial Intelligence, Machine Learning Entity, Intelligent System, Cognitive Computing Entity, Neural Network, AI Architecture.

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