Artificial Intelligence (AI) agents represent a significant evolution in computational systems, characterized by their ability to perceive environments, make decisions, and take actions to achieve specific objectives. This whitepaper presents a comprehensive framework outlining the critical pillars necessary for developing effective, safe, and beneficial AI agent systems.
By addressing foundational components including cognitive architecture, environmental interaction, learning mechanisms, value alignment, and deployment considerations, this framework provides a roadmap for researchers, developers, and organizations engaged in AI agent development.
