Open-Domain Neural Conversational Agents: The Step Towards Artificial General Intelligence

Abstract

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.

Authors and Affiliations

Sasa Arsovski, Sze Hui Wong, Adrian David Cheok

Keywords

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  • EP ID EP323055
  • DOI 10.14569/IJACSA.2018.090654
  • Views 91
  • Downloads 0

How To Cite

Sasa Arsovski, Sze Hui Wong, Adrian David Cheok (2018). Open-Domain Neural Conversational Agents: The Step Towards Artificial General Intelligence. International Journal of Advanced Computer Science & Applications, 9(6), 402-408. https://europub.co.uk/articles/-A-323055