DoNA—A Domain-based negotiation agent

Eden Shalom Erez, Inon Zuckerman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


Negotiation is an important skill when interacting actors might have misaligned interests. In order to support automated negotiators research the Automated Negotiation Agent Competition (ANAC) was founded to evaluate automated agents in a bilateral negotiation setting across multiple domains. An analysis of various agents’ strategies from past competitions show that most of them used an explicit opponent modeling component. While it is well known that in repeated interactions, learning the opponent and developing reciprocity become of prominent importance to achieve one’s goal, when the interactions with the same partner are not repeated, focusing on complex opponent modeling might not be the right approach. With that in mind, we explore a domain-based approach in which we form strategies based solely on two domain parameters: the reservation value and the discount factor. Following the presentation of our cognitive model, we present DoNA, a Domain-based Negotiation Agent that exemplifies our approach.

Original languageEnglish
Title of host publicationRecent Advances in Agent-based Complex Automated Negotiation
EditorsKatsuhide Fujita, Valentin Robu, Naoki Fukuta, Minjie Zhang, Takayuki Ito
Number of pages11
StatePublished - 2016
Event7th International Workshop on Agent-based Complex Automated Negotiation, ACAN 2014 - Paris, France
Duration: 1 May 2014 → …

Publication series

NameStudies in Computational Intelligence
ISSN (Print)1860-949X


Conference7th International Workshop on Agent-based Complex Automated Negotiation, ACAN 2014
Period1/05/14 → …


Dive into the research topics of 'DoNA—A Domain-based negotiation agent'. Together they form a unique fingerprint.

Cite this