The Project MAS builds upon the basics material taught in the Multi-Agent Systems course. You will use some additional tools and software to develop your cooking assistantrecipe recommendation agent in this project. We provide a brief overview of the tools you should need to use throughout the project:
Dialogflow: We use Google Dialogflow to interpret user utterances and generate for translating spoken user utterances into text by means of automatic speech recognition, for classifying these texts by means of intent recognition, and for generating the speech of the agent. For One of your main tasks will be designing an intent scheme and adding entities for making sense of what a user says, we will only use it to detect intents and entities. You will need to specify these in a Dialogflow agent, which you need to create at the start of the project.
GitHub: We use GitHub classroom to provide you with the initial agent code. GitHub is a development platform. You should use GitHub need to join the GitHub classroom and use it for developing and sharing your code.
MARBEL: You will develop your cooking assistant recipe recommendation agent using MARBEL and SWI Prolog. The MARBEL agent implements a dialog engine that you will use. You do not need to change this agent, even though but you are allowed to modify it if you like. The focus will be mostly on using Prolog to provide the agent with the knowledge it needs and to make it smarter by providing it with basic some logic related to its task.
SIC: We will make use of the Social Interaction Cloud (SIC) which runs in a Docker container. The agent will connect with this cloud infrastructure to be able to interface with a browser for displaying a webpage for visual support and Dialogflow for voice-based user interaction. For programming, the browser, Bootstrap, a front-end open-source toolkit for building websites will be used.
To get started with this project, you (and your group members) need to set up this the software tools listed.
After running java -jar computer-browser.jar a pop-up should appear like the one in the left-hand corner of the picture below. Click okay without filling in a username and password.
Then a google chrome window should open. It should say it is being controlled by automated test software and display long string of random characters. In your terminal it should say ‘ChromeDriver was started successfully’ in one of the lines.
When you run the .mas2g file in your agent, another popup should appear like the one in the left-hand corner of the picture below. The empty box should be ticked next to the browser code that matches your google chrome window code, and then you hit OK
You should now see a window rendering the browser plug-in and hear the bot agent start talking. The rest now is up to you!