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Are you ready to think about conversation? You and your team are creating a specific conversation agent for a specific domain and task. The structure of such a conversation consists of sequences of dialogue moves that accomplish certain conversational and domain-specific aims that users will have - which we call conversation patterns after Moore (2019). In this section, you will build these patterns in Prolog in the patterns.pl file. You will also create agent responses, so the agent will be able to perform these patterns. A conversation is between a user and an agent. The interpretation of what a user says in a conversation is done by a Dialogflow agent which tries to classify user utterances as an intent. These intents are implemented by your team members that work on Dialogflow and Filter Functions Section, so make sure to check out what they are doing and talk to them! The agent side will be created by your team in the responses.pl file by means of text/2rules. It is very important that the labels ('names') that you and your other team members use match, otherwise the code won’t work.
Now, let’s get started! Please read and follow the instruction on the following page:
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