IAGO: Interactive Arbitration Guide Online (bibtex)
by Johnathan Mell, Jonathan Gratch
Abstract:
Automated negotiation between two agents has been the subject of much research focused on optimization and efficiency. Howev-er, 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 pre-sented in this paper represents a novel platform on which to con-duct human-agent research and facilitate teaching negotiation tactics in a longitudinal way. We present a prototype demonstra-tion that is real-time, rapidly distributable, and allows more ac-tions than current platforms of negotiation.
Reference:
IAGO: Interactive Arbitration Guide Online (Johnathan Mell, Jonathan Gratch), In Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, International Foundation for Autonomous Agents and Multiagent Systems, 2016.
Bibtex Entry:
@inproceedings{mell_iago:_2016,
	address = {Singapore},
	title = {{IAGO}: {Interactive} {Arbitration} {Guide} {Online}},
	url = {http://dl.acm.org/citation.cfm?id=2937230},
	abstract = {Automated negotiation between two agents has been the subject of much research focused on optimization and efficiency. Howev-er, 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 pre-sented in this paper represents a novel platform on which to con-duct human-agent research and facilitate teaching negotiation tactics in a longitudinal way. We present a prototype demonstra-tion that is real-time, rapidly distributable, and allows more ac-tions than current platforms of negotiation.},
	booktitle = {Proceedings of the 2016 {International} {Conference} on {Autonomous} {Agents} \& {Multiagent} {Systems}},
	publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
	author = {Mell, Johnathan and Gratch, Jonathan},
	month = may,
	year = {2016},
	keywords = {UARC, Virtual Humans},
	pages = {1510--1512}
}
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