Cognitive Enterprise

Playing poker with robots: A solution overview

Share this post:

This is the second article in the series of blog posts where we show the ease and usefulness of Watson services by making two robots play poker in a multi-person setting.

In the previous article, we introduced our project, our robots, and Bluemix. Today, we will talk about the various Watson services out there on Bluemix that can help our idea turn into a reality and how to use those services with Watson Developer Cloud.

Image 1

Watson Developer Cloud and Bluemix

The IBM Watson Developer Cloud (WDC) is a library of smart services that you can use to develop cognitive applications. WDC provides REST APIs that can be accessed through SDKs written in Node.js, Python and Java.

The Watson Services Catalog lists all services offered by Watson Developer Cloud. These services provide a RESTful interface for interaction between the applications and the service.

IBM Bluemix is a cloud platform which is used to deploy and host your applications and Watson services.

Making Robots Cognitive

To play a game of poker with humans, our robots need to have some cognitive capabilities.

The robots should be able to look at their cards and recognize them. They should listen to what the players around the table are talking and understand it. They should be able to participate in conversations.

In the past it has been difficult to do these tasks using conventional methods but Watson will help us accomplish these normally difficult tasks.

We have shortlisted the following services to serve our purpose :

1. Speech to Text : The Speech to Text service from Watson converts human voice into the written word. This easy-to-use service uses machine intelligence to combine information about grammar and language structure to generate an accurate transcription. This service also supports multiple languages.

2. Text to Speech : Watson’s Text to Speech service synthesizes written text into speech audio. This service provides both male and female voices in multiple languages.

3. Natural Language Classifier : The Natural Language Classifier service from Watson enables developers without a background in machine learning to interpret and classify natural language. The developer just has to provide a training set containing of sentences against their intents.

4. Dialog : The Dialog service provided by Watson Developer Cloud allows developers to build applications with an ability to have conversations with the users. Imagine having your application to automatically respond to user questions, walk users through processes or applications or just add a social element of chatting. This service can learn and track the user profile information over time to improve the quality of conversations over time.

5. Visual Recognition : Watson’s Visual Recognition service answers the question : “What is in this image?”. It is as easy as passing the image to the service and having the service respond with confidence scores of objects and events contained in the image. This service also detects faces and performs Text Recognition on the image. If you are planning to use this service for a very specific set of images (like the deck of cards in our case), you can train a custom classifier for yourself by passing a sample set of images to the service.

Image 2

Image 3

The Solution

Now that we have shortlisted the services we will be using, this is how our solution will look like. The robots will be our user interface and the Watson services deployed on the Bluemix cloud will be the “brain” of our system.

Installing Watson Developer Cloud for Python

We spoke about the Watson Developer Cloud SDK for accessing Watson services from your application. You can install the watson-developer-cloud python library to access the services provided by WDC as follows :

~$ pip install –upgrade watson-developer-cloud

or

~$ easy_install –upgrade watson-developer-cloud

And you are ready to go!

Final Words

In the next chapter, we will dig deeper into the Speech to Text service and learn how to implement it into a new application.

Add Comment
No Comments

Leave a Reply

Your email address will not be published.Required fields are marked *

More Developers Stories
July 26, 2017

Meet the 13-year-old prodigy taking IBM and artificial intelligence by storm

The Australian Broadcasting Corporation (ABC) recently profiled 13-year-old Canadian tech prodigy Tanmay Bakshi who started using computers at age five, launched his first app at age nine, and has been working with IBM's AI and cognitive APIs for a couple of years now. In 2013, at age nine, he built "tTables," an app to help kids learn multiplication, an incredible achievement for a child who loves to code but is largely self-taught.

Continue reading

July 26, 2017

How cognitive computing will revolutionize the retail industry

Cognitive computing is already redefining the retail industry worldwide. 91% of retail executives familiar with cognitive computing believe it will play a disruptive role in their organization. Opportunities for cognitive insights in the retail industry will continue to grow in the near future. Learn more.

Continue reading

July 20, 2017

Watch your tone! IBM expands on Watson’s tone sensitivity for customer service applications

Watson's Tone Analyzer API is expanding its emotional understanding to help businesses better solve customer engagement challenges. The new feature detects frustration, satisfaction, excitement, politeness, impoliteness, sadness and sympathy.

Continue reading