Pilot: Winner of the Human-Agent Negotiation Challenge at IJCAI 2020
Kushal Chawla, Gale Lucas
TL;DR
The paper presents Pilot, a virtual human agent that won the IJCAI 2020 Human-Agent Negotiation Challenge, utilizing the IAGO framework and psychological insights to guide negotiation behavior.
Contribution
Introducing Pilot, a novel negotiation agent that integrates affective computing and psychology principles within the IAGO framework to excel in human-agent negotiations.
Findings
Pilot won the IJCAI 2020 negotiation challenge
The system effectively models human-like negotiation behavior
Leveraging psychological research improves negotiation outcomes
Abstract
This document describes our agent Pilot, winner of the Human-Agent Negotiation Challenge at ANAC, IJCAI 2020. Pilot is a virtual human that participates in a sequence of three negotiations with a human partner. Our system is based on the Interactive Arbitration Guide Online (IAGO) negotiation framework. We leverage prior Affective Computing and Psychology research in negotiations to guide various key principles that define the behavior and personality of our agent.
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Taxonomy
TopicsMulti-Agent Systems and Negotiation · Ethics and Social Impacts of AI · Artificial Intelligence in Law