Artificially Intelligent (AI) Agent

An Artificially Intelligent (AI) Agent is a software-based agent that is an autonomous AI system (which implements AI agent algorithms to perform AI agent tasks through environmental interaction and autonomous decision making).

• Context:
  • It can (typically) process Agent Input through AI models and learning algorithms.
  • It can (typically) generate Agent Actions via automated decision making.
  • It can (typically) interact with its Agent Environment through sensor and actuator systems.
  • It can (often) adapt its Agent Behavior through continuous learning.
  • It can (often) collaborate with other AI Agents in multi-agent systems.
  • It can (often) initiate Agent Tasks based on environmental triggers.
  • ...
  • It can range from being a Simple AI Agent to being a Complex AI Agent, depending on its agent functionality complexity.
  • It can range from being a Specific AI Agent to being a General AI Agent, depending on its agent domain adaptability.
  • It can range from being a Rule-based AI Agent to being a Learning-based AI Agent, depending on its agent learning capability.
  • It can range from being a Supervised AI Agent to being an Unsupervised AI Agent, depending on its agent training requirement.
  • It can range from being a Single-agent AI System to being a Multi-agent AI System, depending on its agent collaboration capability.
  • It can range from being a Local AI System to being a Global AI System, depending on its agent operational scope.
  • It can range from being a Physical AI System to being a Virtual AI System, depending on its agent embodiment type.
  • It can range from being a Passive AI System to being an Active AI System, depending on its agent initiation capability.
  • It can range from being a Human-like AI System to being a Non-human-like AI System, depending on its agent behavioral similarity.
  • It can range from being a Narrow AI Agent to being a General AI Agent, depending on its capability scope.
  • It can range from being an Athletic AI Agent to being a Scholarly AI Agent, depending on its task domain.
  • It can range from being a Domain-Specific AI Agent to being an Open-Domain AI Agent, depending on its application scope.
  • It can range from being a Non-Cognitive AI Agent to being a Cognitive AI Agent, depending on its reasoning capability.
  • It can range from being an Engineered AI Agent to being an Evolved AI Agent, depending on its development approach.
  • It can range from being an Information Providing AI Agent to being a Tool Using AI Agent, depending on its interaction mode.
  • It can range from being a Black-Box AI Agent to being an Explainable AI Agent, depending on its transparency level.
  • It can range from being a Beneficial AI Agent to being a Dangerous AI Agent, depending on its impact type.
  • It can range from being a Rule-Based AI Agent to being a Language Model AI Agent, depending on its system complexity.
  • ...
• Examples:
  • Reactive AI Agents, which respond to specific stimuli.
  • Proactive AI Agents, such as:
    • ChatGPT-based Agent (2024), generating follow-up questions after strategy setup.
    • Planning Agent, anticipating future states and action sequences.
  • Task-Oriented AI Agents, such as:
    • Simple AI Agent, performing basic functions.
    • Complex AI Agent, managing advanced features.
    • Specific AI Agent, focusing on specialized tasks.
    • General AI Agent, handling diverse task types.
  • Learning-Based AI Agents, such as:
    • Rule-based AI Agent, following predefined rules.
    • Learning-based AI Agent, adapting through experience.
    • Supervised AI Agent, trained on labeled data.
    • Unsupervised AI Agent, learning from unlabeled data.
  • System Architecture AI Agents, such as:
    • Single-agent AI System, operating independently.
    • Multi-agent AI System, enabling agent collaboration.
    • Local AI System, functioning in confined environments.
    • Global AI System, operating across distributed networks.
  • Implementation AI Agents, such as:
    • Physical AI System, like Roomba Robot (2024), performing physical tasks.
    • Virtual AI System, like ChatGPT-based Agent (2024), operating as a web-based application.
  • Behavioral AI Agents, such as:
    • Passive AI System, maintaining static behavior.
    • Active AI System, showing adaptive responses.
    • Human-like AI System, mimicking human behavior.
    • Non-human-like AI System, using alternative behavior patterns.
  • Intelligent Software Assistant.
  • ...
• Counter-Examples:
  • Unintelligent Software Agents, which lack AI capabilitys.
  • Manual Control Systems, requiring constant human input.
  • Static Algorithms, without learning ability.
  • Pure Data Storages, lacking agent behavior.
• See: ChatGPT-based Agent, Chatbot-based Agent, Autonomous AI System, Agent Learning, AI Architecture, Multi-Agent 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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