Learning about the opponent in automated bilateral negotiation: a comprehensive survey of opponent modeling techniques
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Learning about the opponent in automated bilateral negotiation: a comprehensive survey of opponent modeling techniques
Authors
Keywords
Negotiation, Software agents, Opponent model, Learning techniques, Automated negotiation, Opponent modeling, Machine learning, Survey
Journal
AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS
Volume 30, Issue 5, Pages 849-898
Publisher
Springer Nature
Online
2015-09-07
DOI
10.1007/s10458-015-9309-1
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- An experimental study of software agent negotiations with humans
- (2014) Rustam Vahidov et al. DECISION SUPPORT SYSTEMS
- An efficient and robust negotiating strategy in bilateral negotiations over multiple items
- (2014) Jianye Hao et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- A one-shot bargaining strategy for dealing with multifarious opponents
- (2013) Shu-juan Ji et al. APPLIED INTELLIGENCE
- From problems to protocols: Towards a negotiation handbook
- (2013) Ivan Marsa-Maestre et al. DECISION SUPPORT SYSTEMS
- Evaluating practical negotiating agents: Results and analysis of the 2011 international competition
- (2012) Tim Baarslag et al. ARTIFICIAL INTELLIGENCE
- GENIUS: AN INTEGRATED ENVIRONMENT FOR SUPPORTING THE DESIGN OF GENERIC AUTOMATED NEGOTIATORS
- (2012) Raz Lin et al. COMPUTATIONAL INTELLIGENCE
- Computer poker: A review
- (2011) Jonathan Rubin et al. ARTIFICIAL INTELLIGENCE
- Preferences in AI: An overview
- (2011) Carmel Domshlak et al. ARTIFICIAL INTELLIGENCE
- Learning opponent’s preferences for effective negotiation: an approach based on concept learning
- (2010) Reyhan Aydoğan et al. AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS
- Addressing stability issues in mediated complex contract negotiations for constraint-based, non-monotonic utility spaces
- (2010) Miguel A. Lopez-Carmona et al. AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS
- Strategic agents for multi-resource negotiation
- (2010) Bo An et al. AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS
- Pairwise issue modeling for negotiation counteroffer prediction using neural networks
- (2010) Réal A. Carbonneau et al. DECISION SUPPORT SYSTEMS
- Automated Interactive Sales Processes
- (2010) T. Klos et al. IEEE INTELLIGENT SYSTEMS
- Evolutionary-aided negotiation model for bilateral bargaining in Ambient Intelligence domains with complex utility functions
- (2010) Víctor Sánchez-Anguix et al. INFORMATION SCIENCES
- Can automated agents proficiently negotiate with humans?
- (2009) Raz Lin et al. COMMUNICATIONS OF THE ACM
- Knowledge discovery for adaptive negotiation agents in e-marketplaces
- (2008) Raymond Y.K. Lau et al. DECISION SUPPORT SYSTEMS
- A neural networks approach for forecasting the supplier’s bid prices in supplier selection negotiation process
- (2008) Chun Ching Lee et al. EXPERT SYSTEMS WITH APPLICATIONS
- BLGAN: Bayesian Learning and Genetic Algorithm for Supporting Negotiation With Incomplete Information
- (2008) Kwang Mong Sim et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- Negotiating with bounded rational agents in environments with incomplete information using an automated agent
- (2007) Raz Lin et al. ARTIFICIAL INTELLIGENCE
- Predicting opponent’s moves in electronic negotiations using neural networks
- (2006) R CARBONNEAU et al. EXPERT SYSTEMS WITH APPLICATIONS
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now