Agent

Interface

class twon_lss.agent._interface.AgentArgsInterface

Abstract base class for agent configuration parameters.

The AgentArgsInterface class provides a standardized configuration interface for agent implementations, ensuring consistent parameter handling across different agent types. This base class can be extended to include specific configuration options for different agent behaviors.

This interface serves as a foundation for configuring agent behavior parameters such as action probabilities, response patterns, engagement thresholds, and other behavioral characteristics that define how agents interact within the social media simulation.

model_config: ClassVar[ConfigDict] = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

class twon_lss.agent._interface.AgentInterface

Abstract base class for user behavior agents in the social media simulation.

The AgentInterface class defines the core framework for implementing user behavior agents that control how users interact within the social media simulation. Agents determine user actions such as posting content, engaging with posts, sharing information, and responding to other users.

This interface supports different agent types including influencers, bystanders, and other behavioral archetypes by providing a consistent framework for defining action probabilities and decision-making logic.

args

Configuration object containing agent-specific parameters (default: AgentArgsInterface()).

Type:

AgentArgsInterface

model_config: ClassVar[ConfigDict] = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].