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DOI: 10.14569/IJACSA.2018.090654
PDF

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

Author 1: Sasa Arsovski
Author 2: Sze Hui Wong
Author 3: Adrian David Cheok

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 6, 2018.

  • Abstract and Keywords
  • How to Cite this Article
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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.

Keywords: Artificial intelligence; deep learning; neural networks; open domain chatbots; conversational agents

Sasa Arsovski, Sze Hui Wong and Adrian David Cheok, “Open-Domain Neural Conversational Agents: The Step Towards Artificial General Intelligence” International Journal of Advanced Computer Science and Applications(IJACSA), 9(6), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090654

@article{Arsovski2018,
title = {Open-Domain Neural Conversational Agents: The Step Towards Artificial General Intelligence},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090654},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090654},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {6},
author = {Sasa Arsovski and Sze Hui Wong and Adrian David Cheok}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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