Agent dialogues and argumentation

Agents have different interests and desires. Agents also hold different beliefs and assumptions. To accomplish tasks jointly, agents need to better convey information between each other and facilitate fair negotiations. In this thesis, we investigate agent dialogue systems developed with the Assumption-Based Argumentation (ABA) framework. In our system, agents represent their beliefs and desires in ABA. Information is exchanged via ABA arguments through dialogues. Main contributions include (1) understanding the connection between dialogues and argumentation frameworks and (2) applying argumentation dialogues in various agent applications.