Artificially Intelligent (AI) Agent

An Artificially Intelligent (AI) Agent is an AI-system that is an agent system (which can perform AI agent tasks to make decisions based on data, without constant human intervention, and can interact with its environment or other systems).

• Context:
  • It can range from being a Simple AI Agent to being a Complex AI Agent, depending on the number of functionalities and sophistication of its underlying models.
  • It can range from being a Specific AI Agent to being a General AI Agent, depending on its domain adaptability and breadth of its knowledge base.
  • It can range from being a Rule-based AI Agent to being a Learning-based AI Agent, depending on its reliance on predefined rules versus its ability to learn and adapt over time.
  • It can range from being a Supervised AI Agent to being an Unsupervised AI Agent, depending on its training requirements and the need for labeled data.
  • It can range from being a Single-agent AI System to being a Multi-agent AI System, depending on its capability to collaborate and interact with other agents.
  • It can range from being a Local AI System to being a Global AI System, depending on its operational scope and distribution.
  • It can range from being a Physical AI System to being a Virtual AI System, depending on its embodiment and interaction mediums.
  • It can range from being a Passive AI System to being an Active AI System, depending on its initiation capabilities and the extent to which it can perform actions without external prompts.
  • It can range from being a Human-like AI System to being a Non-human-like AI System, depending on its mimicry of human cognition and behavior.
  • …
• Example(s):
  • Reactive AI Agent: An agent that reacts to specific stimuli or situations.
  • Proactive AI Agent, such as a ChatGPT-based agent (that can ask follow-up questions after setting up strategy).
  • Simple AI Agent: An agent with basic functionalities.
  • Complex AI Agent: An agent with intricate and advanced features.
  • Specific AI Agent: An agent designed for specific tasks.
  • General AI Agent: An agent designed for a variety of tasks.
  • Rule-based AI Agent: An agent that operates based on predefined rules.
  • Learning-based AI Agent: An agent that can learn and adapt over time.
  • Supervised AI Agent: An agent trained with labeled data.
  • Unsupervised AI Agent: An agent trained without labeled data.
  • Single-agent AI System: A system comprising a single agent.
  • Multi-agent AI System: A system where multiple agents interact.
  • Local AI System: An agent that operates within a localized environment.
  • Global AI System: An agent that operates over wider networks or systems.
  • Physical AI System:such as a Roomba robot.
  • Virtual AI System: such as a ChatGPT-based agent (that is Web-based application).
  • Passive AI System: Agents that don't change their behavior based on interactions.
  • Active AI System: Agents that adapt based on interactions.
  • Human-like AI System: Agents that mimic human behavior or appearance.
  • Non-human-like AI System: Agents that don't resemble humans in behavior or appearance.
  • …
• See: ChatGPT-based Agent, Chatbot-based Agent, Autonomous AI System.

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References

2023

• chat

1. 1. AI Agent Properties Table:

Examples	Reactive AI Agent	Proactive AI Agent	Simple AI Agent	Complex AI Agent	Specific AI Agent	General AI Agent	Rule-based AI Agent	Learning-based AI Agent	Supervised AI Agent	Unsupervised AI Agent	Single-agent AI System	Multi-agent AI System	Local AI System	Global AI System	Physical AI System	Virtual AI System	Passive AI System	Active AI System	Human-like AI System	Non-human-like AI System
Light-sensitive robots moving towards/away from light sources	X		X								X				X		X			X
Personal assistants predicting user's next action		X		X				X								X		X
Basic chatbots answering predefined queries	X		X								X					X	X
Image recognition systems diagnosing specific diseases					X				X							X
General purpose robotics systems adaptable to tasks						X		X							X			X
Legacy expert systems in medical diagnosis					X		X									X
Autonomous cars learning from on-road experiences		X		X					X						X			X
Recommendation systems refining suggestions based on behavior				X					X							X		X
Image classifiers trained on labeled datasets										X						X
Anomaly detection systems in network security											X					X
Standalone virtual customer service agents on websites												X				X
Swarm robotics used for coordinated tasks like search and rescue		X		X					X				X			X			X
Home automation systems controlling devices in a house														X		X			X
Global weather prediction systems		X		X					X						X		X		X
Warehouse robots for sorting and moving items		X							X							X			X
Virtual assistants on smartphones or computers		X							X								X		X
Humanoid robots for social interaction or companionship		X		X												X				X
Industrial robotic arms for manufacturing															X			X		X

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