Weighting estimation methods for opponents' utility functions using boosting in multi-time negotiations
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[1] Tim Baarslag. Exploring the Strategy Space of Negotiating Agents: A Framework for Bidding, Learning and Accepting in Automated Negotiation , 2016 .
[2] A. Rubinstein. Perfect Equilibrium in a Bargaining Model , 1982 .
[3] Katsuhide Fujita. Automated strategy adaptation for multi-times bilateral closed negotiations , 2014, AAMAS.
[4] Sarit Kraus,et al. Strategic Negotiation in Multiagent Environments , 2001, Intelligent robots and autonomous agents.
[5] Katsuhide Fujita,et al. Alternating Offers Protocol Considering Fair Privacy for Multilateral Closed Negotiation , 2017, PRIMA.
[6] Chunyan Miao,et al. KEMNAD: A KNOWLEDGE ENGINEERING METHODOLOGY FOR NEGOTIATING AGENT DEVELOPMENT , 2012, Comput. Intell..
[7] Sarit Kraus,et al. Multiagent Negotiation under Time Constraints , 1995, Artif. Intell..
[8] Katsuhide Fujita,et al. Compromising Strategy Using Weighted Counting in Multi-times Negotiations , 2014, 2014 IIAI 3rd International Conference on Advanced Applied Informatics.
[9] Nicholas R. Jennings,et al. Using Gaussian Processes to Optimise Concession in Complex Negotiations against Unknown Opponents , 2011, IJCAI.
[10] Sarit Kraus,et al. The First Automated Negotiating Agents Competition (ANAC 2010) , 2012, New Trends in Agent-Based Complex Automated Negotiations.
[11] R. Schapire. The Strength of Weak Learnability , 1990, Machine Learning.
[12] Evgueni,et al. Automatic Knowledge Transfer for Agent-based Bilateral Negotiation Tasks , 2014 .
[13] Tim Baarslag. Accepting Optimally with Incomplete Information , 2016 .
[14] Takayuki Ito,et al. Modern Approaches to Agent-based Complex Automated Negotiation , 2017 .
[15] Katsuhide Fujita,et al. Compromising Strategy Based on Estimated Maximum Utility for Automated Negotiation Agents Competition (ANAC-10) , 2011, IEA/AIE.
[16] Koen V. Hindriks,et al. Accepting optimally in automated negotiation with incomplete information , 2013, AAMAS.
[17] Sarit Kraus,et al. Evaluating practical negotiating agents: Results and analysis of the 2011 international competition , 2013, Artif. Intell..
[18] Nicholas R. Jennings,et al. Using similarity criteria to make issue trade-offs in automated negotiations , 2002, Artif. Intell..
[19] N. R. Jennings,et al. Multi-Issue Negotiation with Deadlines , 2006, J. Artif. Intell. Res..
[20] Gerhard Weiss,et al. An Efficient and Adaptive Approach to Negotiation in Complex Environments , 2012, ECAI.
[22] Piotr Czyzżak,et al. Pareto simulated annealing—a metaheuristic technique for multiple‐objective combinatorial optimization , 1998 .
[23] Koen V. Hindriks,et al. Alternating Offers Protocols for Multilateral Negotiation , 2017 .
[24] Sarit Kraus,et al. GENIUS: AN INTEGRATED ENVIRONMENT FOR SUPPORTING THE DESIGN OF GENERIC AUTOMATED NEGOTIATORS , 2012, Comput. Intell..
[25] Katsuhide Fujita,et al. Preliminary Estimating Method of Opponent’s Preferences Using Simple Weighted Functions for Multi-lateral Closed Multi-issue Negotiations , 2017 .
[26] Gerhard Weiss,et al. Using Transfer Learning to Model Unknown Opponents in Automated Negotiations , 2014, ANAC@AAMAS.
[27] Gerhard Weiss,et al. Conditional Restricted Boltzmann Machines for Negotiations in Highly Competitive and Complex Domains , 2013, IJCAI.
[28] Katsuhide Fujita,et al. RandomDance: Compromising Strategy Considering Interdependencies of Issues with Randomness , 2017 .
[29] K. Fujita,et al. Weighting estimation methods for opponents' utility functions using boosting in multi-time negotiations , 2017 .