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The project MAS course builds upon the basics taught in the Multi-Agent Systems course. This means that you will develop the agent using GOAL and Prolog as knowledge representation language. While the GOAL assignments in the MAS course were linked to the BW4T environment, this course will make use of the Social Interaction Cloud (SIC) environment. In addition, Google Dialogflow is used to handle the speech of the agent, as well as the interpretation of user utterances. The first objective in this course is therefore to set-up and connect those modules to the agent. In the course, you will be working in groups of six, going through the different stages of chatbot development: collecting content, designing conversations, implementing conversation patterns, adding supporting visuals, testing the agent, extending on the content/patterns, and further testing the agent. This will in the end result in the agent program, as well as a report in which you describe its different components and how it was tested. This document will provide a detailed week-by-week description of the targets, while you have the freedom to choose the recipes and extend the agent beyond the basic requirements as far as you like.
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