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Are you ready to think about talkingconversation? You and your team are creating a specific conversation agent in a limited domain. A conversation that fulfills your agent’s purposes is thus also limited. In these conversations, there are particular patterns and expectations that we can model in codeThe structure of such a conversation consists of sequences of dialogue moves that accomplish certain conversational and domain-specific aims that the interlocutors have - which we call conversational patterns after Moore (2019). In this section, we will build these patterns in Prolog in patterns.pl. We will also create agent responses to fill into these patterns. The conversation is between a user and an agent. The user side of the conversation is matched with intents in Dialogflow, which are implemented by team ' ' so make sure you talk to that team! The agent side will be created by your team in responses.pl in trough text/3 rules. Naming is important , - it all has to match so the code can work. Let’s get started! Please read and follow the instruction on the following page:
Pattern and Responses Instructions