通过循环发展与判定实现创造性人工智能（CAIRDD）系统的初步开发与评估
Initial Development and Evaluation of the Creative Artificial Intelligence through Recurring Developments and Determinations (CAIRDD) System
- North Dakota State University（北达科他州立大学）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本文针对LLM创造力不足的问题，提出通过概念注入与迭代精炼增强创造力的方法，并初步开发了CAIRDD系统，评估了其关键组件的有效性。
AI中文摘要：
计算机系统创造力是通向通用人工智能（AGI）的关键一步。然而，由于人类创造力尚未被完全理解，在软件中开发这种能力十分困难。大型语言模型（LLMs）提供了创造力的表象和感知能力的外观，但实际上既不具有创造力也不具有感知能力。虽然LLMs已经创造了真正的新内容，在某些情况下——例如有害的幻觉——是无意中产生的，但其有意的创造力被一些人认为无法与人类相匹敌。为应对这一挑战，本文提出了一种通过概念注入与迭代精炼过程来增强LLM输出创造力的技术。本文介绍了通过循环发展与判定实现创造性人工智能（CAIRDD）系统的初步开发工作，并对关键系统组件的有效性进行了评估。
英文摘要：
Computer system creativity is a key step on the pathway to artificial general intelligence (AGI). It is elusive, however, due to the fact that human creativity is not fully understood and, thus, it is difficult to develop this capability in software. Large language models (LLMs) provide a facsimile of creativity and the appearance of sentience, while not actually being either creative or sentient. While LLMs have created bona fide new content, in some cases - such as with harmful hallucinations - inadvertently, their deliberate creativity is seen by some to not match that of humans. In response to this challenge, this paper proposes a technique for enhancing LLM output creativity via an iterative process of concept injection and refinement. Initial work on the development of the Creative Artificial Intelligence through Recurring Developments and Determinations (CAIRDD) system is presented and the efficacy of key system components is evaluated.
