TY - JOUR
T1 - Automatic negotiation
T2 - playing the domain instead of the opponent
AU - Erez, Eden S.
AU - Zuckerman, Inon
AU - Hermel, Dror
N1 - Publisher Copyright:
© 2016 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2017/5/4
Y1 - 2017/5/4
N2 - An automated negotiator is an intelligent agent whose task is to reach the best possible agreement. We explore a novel approach to developing a negotiation strategy, a ‘domain-based approach’. Specifically, we use two domain parameters, reservation value and discount factor, to cluster the domain into different regions, in each of which we employ a heuristic strategy based on the notions of temporal flexibility and bargaining strength. Following the presentation of our cognitive and formal models, we show in an extensive experimental study that an agent based on that approach wins against the top agents of the automated negotiation competition of 2012 and 2013, and attained the second place in 2014.
AB - An automated negotiator is an intelligent agent whose task is to reach the best possible agreement. We explore a novel approach to developing a negotiation strategy, a ‘domain-based approach’. Specifically, we use two domain parameters, reservation value and discount factor, to cluster the domain into different regions, in each of which we employ a heuristic strategy based on the notions of temporal flexibility and bargaining strength. Following the presentation of our cognitive and formal models, we show in an extensive experimental study that an agent based on that approach wins against the top agents of the automated negotiation competition of 2012 and 2013, and attained the second place in 2014.
KW - ANAC competition
KW - Bargaining
KW - automated negotiations
UR - http://www.scopus.com/inward/record.url?scp=84980009710&partnerID=8YFLogxK
U2 - 10.1080/0952813X.2016.1212102
DO - 10.1080/0952813X.2016.1212102
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AN - SCOPUS:84980009710
SN - 0952-813X
VL - 29
SP - 597
EP - 616
JO - Journal of Experimental and Theoretical Artificial Intelligence
JF - Journal of Experimental and Theoretical Artificial Intelligence
IS - 3
ER -