IAGO: Interactive Arbitration Guide Online (Demonstration)

Automated negotiation between two agents has been the subject of much research focused on optimization and efficiency. However, human-agent negotiation represents a field in which real-world considerations can be more fully explored. Furthermore, teaching negotiation and other interpersonal skills requires long periods of practice with open-ended dialogues and partners. The API presented in this paper represents a novel platform on which to conduct human-agent research and facilitate teaching negotiation tactics in a longitudinal way. We present a prototype demonstration that is real-time, rapidly distributable, and allows more actions than current platforms of negotiation.