Agent Autonomy Model
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An Agent Autonomy Model is a classification model that categorizes AI agents based on their independence level and decision-making capability.
- AKA: Agent Independence Model, Autonomy Classification Framework, Agent Capability Maturity Model.
- Context:
- It can typically classify Reflex Agents as minimal autonomy agents.
- It can typically categorize Goal-Based Agents as moderate autonomy agents.
- It can typically identify Utility-Based Agents as high autonomy agents.
- It can typically recognize Learning Agents as adaptive autonomy agents.
- It can typically distinguish Multi-Agent Systems as collaborative autonomy agents.
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- It can often measure Independence Dimensions through supervision requirements.
- It can often evaluate Goal Complexity Dimensions via objective sophistication.
- It can often assess Environmental Awareness Dimensions using perception capability.
- It can often quantify Tool Integration Dimensions through orchestration ability.
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- It can range from being a Binary Agent Autonomy Model to being a Continuous Agent Autonomy Model, depending on its agent autonomy model granularity.
- It can range from being a Static Agent Autonomy Model to being a Dynamic Agent Autonomy Model, depending on its agent autonomy model temporal nature.
- It can range from being a Qualitative Agent Autonomy Model to being a Quantitative Agent Autonomy Model, depending on its agent autonomy model measurement type.
- It can range from being a Domain-Specific Agent Autonomy Model to being a Universal Agent Autonomy Model, depending on its agent autonomy model application scope.
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- It can guide Agent Architecture Selection through capability requirements.
- It can support Agent Performance Evaluation via autonomy metrics.
- It can enable Agent Comparison through standardized dimensions.
- It can inform System Design Decisions via autonomy assessments.
- It can facilitate Agent Evolution Planning through maturity levels.
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- Example(s):
- Simple Agent Autonomy Models, such as:
- Binary Autonomy Model distinguishing autonomous from non-autonomous agents.
- Three-Level Autonomy Model with low, medium, and high autonomy.
- Five-Level Autonomy Model from manual to fully autonomous.
- Multi-Dimensional Agent Autonomy Models, such as:
- Domain-Specific Agent Autonomy Models, such as:
- ...
- Simple Agent Autonomy Models, such as:
- Counter-Example(s):
- Performance Metric, which measures effectiveness not autonomy.
- Capability List, which enumerates features without classification.
- System Architecture, which describes structure not autonomy level.
- See: Autonomous Agent, Agent Architecture, Classification Model, Multi-Agent System, Belief-Desire-Intention Agent System, Software Agent, AI Agent System, Agent Goal.