[论文解读] History of generative Artificial Intelligence (AI) chatbots: past, present, and future development

Md. Al-Amin, Mohammad Shazed Ali+6 more|arXiv (Cornell University)|Feb 4, 2024

AI in Service Interactions被引用 34

一句话总结

对从基于规则的系统到智能驱动代理的聊天机器人演变的全面按时间顺序的回顾，突出关键里程碑、范式转变和未来潜力。

ABSTRACT

This research provides an in-depth comprehensive review of the progress of chatbot technology over time, from the initial basic systems relying on rules to today's advanced conversational bots powered by artificial intelligence. Spanning many decades, the paper explores the major milestones, innovations, and paradigm shifts that have driven the evolution of chatbots. Looking back at the very basic statistical model in 1906 via the early chatbots, such as ELIZA and ALICE in the 1960s and 1970s, the study traces key innovations leading to today's advanced conversational agents, such as ChatGPT and Google Bard. The study synthesizes insights from academic literature and industry sources to highlight crucial milestones, including the introduction of Turing tests, influential projects such as CALO, and recent transformer-based models. Tracing the path forward, the paper highlights how natural language processing and machine learning have been integrated into modern chatbots for more sophisticated capabilities. This chronological survey of the chatbot landscape provides a holistic reference to understand the technological and historical factors propelling conversational AI. By synthesizing learnings from this historical analysis, the research offers important context about the developmental trajectory of chatbots and their immense future potential across various field of application which could be the potential take ways for the respective research community and stakeholders.

研究动机与目标

• 考察跨越数十年的聊天机器人技术历史发展。
• 确定塑造对话式 AI 的主要里程碑、创新和范式转变。
• 综合学术文献与行业资料的见解，以使当前与未来趋势具备背景与语境。

提出的方法

• 对聊天机器人技术进行按时间顺序的文献与行业综合分析。
• 突出并分析关键项目、模型与概念（如 ELIZA、ALICE、图灵测试、CALO）。
• 讨论自然语言处理与机器学习的进展如何被整合到现代聊天机器人中。

实验结果

研究问题

• RQ1 生成式 AI 聊天机器人演变中的主要里程碑是什么？
• RQ2 哪些范式转变推动了从基于规则的系统到现代 AI 代理的进步？
• RQ3 自然语言处理和机器学习的进展如何影响当代聊天机器人，它们潜在的未来影响是什么？

主要发现

• 聊天机器人技术已从基本的基于规则的系统发展到先进的 AI 驱动对话代理。
• 关键里程碑包括早期聊天机器人如 ELIZA 和 ALICE、图灵测试概念、CALO，以及最近的基于 transformer 的模型。
• 自然语言处理和机器学习的整合为现代聊天机器人提供了更为复杂的能力。
• 本研究为理解推动会话式 AI 及其在各应用领域未来潜力的历史因素提供了整体参考。