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Agent-Role Pattern

Pattern Type: CCO Structural Pattern
Domain: Agent modeling and organizational structures
Based on: CCO Design Patterns

Problem​

How do we model the relationship between agents and the roles they can bear and realize in different contexts?

Solution​

Use the CCO Agent-Role pattern where:

  • Agents are material entities capable of performing actions
  • Roles are realizable entities that inhere in agents
  • Role Realization occurs when agents perform actions that fulfill role specifications

Pattern Structure​

Implementation​

Core Classes​

  • Agent - Entity capable of performing actions
  • Role - Realizable entity that defines responsibilities
  • Act - Process that realizes roles

Key Relations​

  • cco:bearer_of - Agent bears Role
  • cco:realizes - Act realizes Role
  • cco:agent_in - Agent participates in Act

AI Context Examples​

AI Agent Roles​

@prefix abi: <http://ontology.naas.ai/abi/> .
@prefix cco: <http://purl.obolibrary.org/obo/> .

# AI Agent bearing multiple roles
abi:ChatGPT a abi:AIAgent ;
    cco:bearer_of abi:ConversationalRole,
                  abi:ReasoningRole,
                  abi:CodeGenerationRole .

# Role realization through acts
abi:ConversationAct a cco:Act ;
    cco:realizes abi:ConversationalRole ;
    cco:agent_in abi:ChatGPT .

Organizational Roles​

# Human agent in AI organization
abi:DataScientist a cco:Agent ;
    cco:bearer_of abi:DataAnalysisRole,
                  abi:ModelTrainingRole .

# Role realization
abi:ModelTrainingAct a cco:Act ;
    cco:realizes abi:ModelTrainingRole ;
    cco:agent_in abi:DataScientist .

Benefits​

  1. Flexibility - Agents can bear multiple roles simultaneously
  2. Context Sensitivity - Roles can be context-dependent
  3. Temporal Dynamics - Agents can acquire/lose roles over time
  4. Organizational Modeling - Supports complex organizational structures

See Also​

  • Agent - CCO Agent class
  • Role - CCO Role class
  • AIAgent - ABI AI Agent extension