Conceptos Básicos
Customizable concurrency models are essential for BDI agent programming frameworks to enable tuning execution to specific application needs and execution environments.
Resumen
The content provides a taxonomy of concurrency models for BDI agent programming frameworks, including one-agent-one-thread (1A1T), all-agents-one-thread (AA1T), all-agents-one-event-loop (AA1EL), and all-agents-one-executor (AA1E) models. It analyzes several popular BDI frameworks like Jason, Astra, JaKtA, Phidias, Spade-BDI, and Jadex, and their support for these concurrency models.
The key insights are:
The choice of concurrency model deeply impacts aspects like performance, determinism, and reproducibility of multi-agent systems (MAS) built on top of BDI frameworks.
Experienced developers need control over the concurrency model to tune the execution of their MAS to specific application requirements and execution environments.
BDI framework designers should promote a clear separation between the MAS specification and its actual runtime concurrency model, enabling flexibility in model selection.
Further investigation is needed to provide a general concurrency blueprint for BDI technologies.