论文标题
人工智能漫长游戏中的知识工程：语音行为的情况
Knowledge Engineering in the Long Game of Artificial Intelligence: The Case of Speech Acts
论文作者
论文摘要
本文介绍了知识工程的原理和实践，这些原则和实践使整体语言构成的智能代理的发展可以跨领域和应用程序运作，并通过终身学习扩展其本体论和词汇知识。为了插图，我们专注于对话ACT建模，该任务已在语言学，认知建模和统计自然语言处理中广泛追求。我们描述了一种基于代理知识认知结构的综合方法，并突出了过去方法与其他代理功能分离对话的局限性。
This paper describes principles and practices of knowledge engineering that enable the development of holistic language-endowed intelligent agents that can function across domains and applications, as well as expand their ontological and lexical knowledge through lifelong learning. For illustration, we focus on dialog act modeling, a task that has been widely pursued in linguistics, cognitive modeling, and statistical natural language processing. We describe an integrative approach grounded in the OntoAgent knowledge-centric cognitive architecture and highlight the limitations of past approaches that isolate dialog from other agent functionalities.
