When will negotiation agents be able to represent us? The challenges and opportunities for autonomous negotiators

Tim Baarslag, Michael Kaisers, Catholijn Jonker, E.H. Gerding, Jonathan Gratch

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

21 Citations (Scopus)


Computers that negotiate on our behalf hold great promise for the future and will even become indispensable in emerging application domains such as the smart grid and the Internet of Things. Much research has thus been expended to create agents that are able to negotiate in an abundance of circumstances. However, up until now, truly autonomous negotiators have rarely been deployed in real-world applications. This paper sizes up current negotiating agents and explores a number of technological, societal and ethical challenges that autonomous negotiation systems have brought about. The questions we address are: in what sense are these systems autonomous, what has been holding back their further proliferation, and is their spread something we should encourage? We relate the automated negotiation research agenda to dimensions of autonomy and distill three major themes that we believe will propel autonomous negotiation forward: accurate representation, long-term perspective, and user trust. We argue these orthogonal research directions need to be aligned and advanced in unison to sustain tangible progress in the field.
Original languageEnglish
Title of host publicationProceedings of the 26th International Joint Conference on Artificial Intelligence, IJCAI 2017
EditorsCarles Sierra
PublisherUniversity of Southampton
Number of pages7
ISBN (Electronic)978-0-9992411-0-3
Publication statusPublished - Aug 2017
EventIJCAI 2017: 26th International Joint Conference on Artificial Intelligence - Melbourne, Australia
Duration: 19 Aug 201725 Aug 2017
Conference number: 26


ConferenceIJCAI 2017
Abbreviated titleIJCAI 2017
Internet address


  • Tools
  • Techniques
  • Challenges
  • Human-Machine Interaction

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