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  • 标题:Open-Domain Neural Conversational Agents: The Step Towards Artificial General Intelligence
  • 作者:Sasa Arsovski ; Sze Hui Wong ; Adrian David Cheok
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2018
  • 卷号:9
  • 期号:6
  • DOI:10.14569/IJACSA.2018.090654
  • 出版社:Science and Information Society (SAI)
  • 摘要:Development of conversational agents started half century ago and since then it has transformed into a technology that is accessible in various aspects in everyday life. This paper presents a survey current state-of-the-art in the open domain neural conversational agent research and future research directions towards Artificial General Intelligence (AGI) creation. In order to create a conversational agent which is able to pass the Turing Test, numerous research efforts are focused on open-domain dialogue system. This paper will present latest research in domain of Neural Network reasoning and logical association, sentiment analysis and real-time learning approaches applied to open domain neural conversational agents. As an effort to provide future research directions, current cuttingedge approaches applied to open domain neural conversational agents, current cutting-edge approaches in rationale generation and the state-of-the-art research directions in alternative training methods will be discussed in this paper.
  • 关键词:Artificial intelligence; deep learning; neural networks; open domain chatbots; conversational agents
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