ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1604.04730
  4. Cited By
Evolutionary-aided negotiation model for bilateral bargaining in Ambient
  Intelligence domains with complex utility functions

Evolutionary-aided negotiation model for bilateral bargaining in Ambient Intelligence domains with complex utility functions

16 April 2016
Víctor Sánchez-Anguix
S. Valero
V. Julián
V. Botti
A. García-Fornes
ArXiv (abs)PDFHTML

Papers citing "Evolutionary-aided negotiation model for bilateral bargaining in Ambient Intelligence domains with complex utility functions"

5 / 5 papers shown
Can we reach Pareto optimal outcomes using bottom-up approaches?
Can we reach Pareto optimal outcomes using bottom-up approaches?
Víctor Sánchez-Anguix
Reyhan Aydoğan
T. Baarslag
Catholijn M. Jonker
114
6
0
03 Jul 2016
Studying the impact of negotiation environments on negotiation teams'
  performance
Studying the impact of negotiation environments on negotiation teams' performance
Víctor Sánchez-Anguix
V. Julián
V. Botti
A. García-Fornes
77
26
0
16 Apr 2016
Reaching Unanimous Agreements Within Agent-Based Negotiation Teams With
  Linear and Monotonic Utility Functions
Reaching Unanimous Agreements Within Agent-Based Negotiation Teams With Linear and Monotonic Utility Functions
Víctor Sánchez-Anguix
V. Julián
V. Botti
A. García-Fornes
66
22
0
16 Apr 2016
Unanimously acceptable agreements for negotiation teams in unpredictable
  domains
Unanimously acceptable agreements for negotiation teams in unpredictable domains
Víctor Sánchez-Anguix
Reyhan Aydoğan
V. Julián
Catholijn M. Jonker
164
22
0
16 Apr 2016
Strategies for Utility Maximization in Social Groups with Preferential
  Exploration
Strategies for Utility Maximization in Social Groups with Preferential ExplorationAutonomous Agents and Multi-Agent Systems (AAMAS), 2014
Saurabh Aggarwal
J. Kuri
118
1
0
10 Sep 2014
1
Page 1 of 1