Conversational Machines

Conversational Machines

Conversational agents need to make decisions through a very large set of alternatives reacting to users’ input and choose the best answer that most likely will lead to the accomplishment of a task.

In this demo we show the internal belief states of such machines using so-called Partially Observable Markov Decision Processes. In this demo it’s possible to see all the intermediate steps in the decision processes associated to the voice of the user and the prompt of the system.

See demo:

Conversational Machines with Partially Observable Markov Decision Processes

For related publications on the topic follow this link.

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