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.

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}
}