Abstract
This paper presents Reflective Linguistic Programming (RLP), a unique approach to conversational AI that emphasizes self-awareness and strategic planning. RLP encourages models to introspect on their own predefined personality traits, emotional responses to incoming messages, and planned strategies, enabling contextually rich, coherent, and engaging interactions. A striking illustration of RLP's potential involves a toy example, an AI persona with an adversarial orientation, a demon named `Bogus' inspired by the children's fairy tale Hansel & Gretel. Bogus exhibits sophisticated behaviors, such as strategic deception and sensitivity to user discomfort, that spontaneously arise from the model's introspection and strategic planning. These behaviors are not pre-programmed or prompted, but emerge as a result of the model's advanced cognitive modeling. The potential applications of RLP in socially-aware AGI (Social AGI) are vast, from nuanced negotiations and mental health support systems to the creation of diverse and dynamic AI personas. Our exploration of deception serves as a stepping stone towards a new frontier in AGI, one filled with opportunities for advanced cognitive modeling and the creation of truly human `digital souls'.
Abstract (translated)
本论文介绍了反思语言编程(RLP)这种方法，它是对话人工智能中强调自我意识和战略规划的独特方法。RLP鼓励模型反思自己预先定义的个性特征、对接收到的消息的情感反应以及计划策略，从而创造 contextually rich、连贯且富有互动性的对话。RLP的潜力是一个非常显著的示例，它涉及到一个玩具例子，一个具有对抗性取向的人工智能角色，名为“Bogus”，是由儿童童话故事《Hansel & Gretel》启发的恶魔。Bogus表现出 sophisticated 的行为，例如战略欺骗和对用户不适的敏感性，这些行为是从模型的反思和战略规划中 spontaneous 产生的。这些行为并不是预先编程或提示产生的，而是从模型的 advanced 认知建模中产生的。RLP 在社交 aware 人工智能(Social AGI)中的潜在应用非常广泛，包括精细的谈判和心理健康支持系统，以及创造各种动态、多样化的人工智能角色。我们探索的欺骗作为 AI 模型的新前沿，充满了高级认知建模和创造真正人类“数字灵魂”的机会。
URL
https://arxiv.org/abs/2305.12647
