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Artificial Communication | Artificial Intelligence

In this tutorial, we will learn about the communication which is done between a human and an Artificial Agent. We are going to study how a system (or an agent) is trained to communicate in a way the same as humans and will also discuss further such agents in detail? By Monika Sharma Last updated : April 16, 2023

What is Artificial Communication in AI?

Today, there are many systems in the market which are capable of communicating with you in the same way as a human does. They hear you, work according to your orders and also reply to you with relevant answers. This communication is performed by the agents which work Artificial Intelligence and is thus known as Artificial Communication. It is also sometimes known as Agent Communication. These communicating models have been a great change and achievement in the field of Machine Learning and Artificial Intelligence because they imitate humans so well.

The systems which are able to communicate with humans are designed to do so. Even though they are the machine which is later communicating but first it is the humans which train them for it, and training a machine is not an easy task. This is because we humans have the instincts and grasping power form the birth itself, but machines cannot have that and so each and every task that a machine will do has to be designed and developed first. So, these type of agents are designed in such a way that their system is capable of understanding the words that a human utters to it and is also able to extract the meaning out of it and form a relevant answer to it and reply it in the same way (i.e. in human language) in which question was asked, so that a successful communication could take place between the system and the human.

This entire process is carried out by the two main components of the communicating agents, which are the speaker and the hearer. For a smooth conversation, the agent should act both as a hearer as well as the speaker at different times. So, when it acts as the hearer, it tries to synthesize and extract the meaning of the words so that the agent can further work on finding the solution or a valid reply for it. When the agent acts as a speaker, then it has to present the data in such a way that it is acceptable by the user and the user can easily understand it.