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Cybernetics and programming
Reference:

Hybrid design of artificial intelligent systems

Dushkin Roman

Director of Science and Technology, Artificial Intelligence Agency

127473, Russia, Moskva, g. Moscow, per. 1-I volkonskii, 15

roman.dushkin@gmail.com
Другие публикации этого автора
 

 
Andronov Mikhail Grigor'evich

Leading Development Engineer, Artificial Intelligence Agency

119049, Russia, g. Moscow, ul. Zhitnaya, 10

mihandronov@gmail.com
Другие публикации этого автора
 

 

DOI:

10.25136/2644-5522.2019.4.29809

Review date:

20-05-2019


Publish date:

15-12-2019


Abstract: The subject of research is the architecture of artificial intelligent systems, developed as part of a hybrid approach to artificial intelligence. The article offers the author’s vision of the process of constructing artificial intelligent agents based on a hybrid approach using organismic principles. An artificial intelligent agent with a hybrid scheme is a “cybernetic machine” operating in a certain environment and functionally interacting with it. Of interest is the way the agent interacts and makes decisions, in which information from the environment passes through many sensors, and then it is cleaned up and sensory integrated with further translation into a symbolic form for decision making based on symbolic logic and the operation of a universal output machine. As the main research methodology, a systems engineering approach to the analysis and construction of technical systems was adopted, as well as a functional approach as an additional research method. The novelty of the study is in the use of a hybrid paradigm for constructing artificial intelligent systems in conjunction with systems and functional approaches in the design of technical systems, which made it possible to generalize the available data on the interaction of intelligent agents with the environment and identify interesting patterns for use in the development of artificial intelligence systems. The main conclusion of the study is the possibility of using a hybrid paradigm to obtain artificial intellectual agents that have important advantages of the upward and downward artificial intelligence paradigm - the ability to learn and behave appropriately in an unknown environment and the ability to explain the reasons for their decisions, respectively. This important finding will advance research into explainable artificial intelligence.


Keywords: functional approach, interaction with environment, cybernetic approach, system architecture, intellectual agent, hybrid paradigm, artificial intelligence, system design, system analysis, explainable artificial intelligence
This article written in Russian. You can find full text of article in Russian here .

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