Pizarra Arquitectura is a computing model used in inteligencia artificial where multiple agents or processes collaborate to solve complex problems by sharing a common base de conocimientos, referred to as the ‘blackboard.’
In this architecture, the blackboard acts as a shared workspace where different knowledge sources can contribute information, hypotheses, or solutions. Each agent or module, known as a ‘knowledge source,’ has its own expertise and can read from and write to the blackboard. This allows for a flexible and dynamic problem-solving approach, as different agents can contribute at different stages of the process.
The blackboard architecture is particularly effective in scenarios where problems are too complex for a single agent to solve independently. For example, in procesamiento de lenguaje natural, various agents might handle syntax, semantics, and discourse analysis, contributing their findings to the blackboard to create a coherent understanding of the text.
Los componentes típicos de una arquitectura de pizarra incluyen:
- Pizarra: El repositorio central donde se almacenan datos, hipótesis y soluciones.
- Fuentes de Conocimiento: Independent agents or modules that access the blackboard, contribute knowledge, and make inferences.
- Componente de Control: Manages the activity of knowledge sources, determining which source can act and when, often based on the current state de la pizarra.
Esta arquitectura es versátil y ha sido aplicada en diversos campos, incluyendo reconocimiento de voz, image processing, and expert systems, showcasing its ability to handle complex, multifaceted problems through collaboration.