POPPONENT: Highly accurate, individually and socially efficient opponent preference model in bilateral multi issue negotiations (Extended Abstract) F Zafari, F Nassiri-Mofakham In Journal Track, Proceedings of the Twenty-Sixth International Joint …, 2017 | 41 | 2017 |
A heuristic personality-based bilateral multi-issue bargaining model in electronic commerce F Nassiri-Mofakham, MA Nematbakhsh, N Ghasem-Aghaee, ... International Journal of Human-Computer Studies 67 (1), 1-35, 2009 | 39 | 2009 |
Bidding Strategy for Agents in Multi-Attribute Combinatorial Double Auction F Nassiri-Mofakham, MA Nematbakhsh, A Baraani-Dastjerdi, ... Expert Systems with Applications 42 (6), 3268–3295, 2015 | 32 | 2015 |
A personality-based simulation of bargaining in e-commerce F Nassiri-Mofakham, N Ghasem-Aghaee, M Ali Nematbakhsh, ... Simulation & gaming 39 (1), 83-100, 2008 | 24 | 2008 |
An opponent-adaptive strategy to increase utility and fairness in agents’ negotiation S Mirzayi, F Taghiyareh, F Nassiri-Mofakham Applied Intelligence 52 (4), 3587-3603, 2022 | 19 | 2022 |
Electronic Promotion to New Customers using a Fixed link mkNN Learning. F Nassiri-Mofakham, MA Nematbakhsh, A Baraani-Dastjerdi, ... CSREA EEE, USA, 20-27, 2007 | 18* | 2007 |
Electronic promotion to new customers using mkNN learning F Nassiri-Mofakham, MA Nematbakhsh, A Baraani-Dastjerdi, ... Information Sciences 179 (3), 248-266, 2009 | 17 | 2009 |
Bravecat: iterative deepening distance-based opponent modeling and hybrid bidding in nonlinear ultra large bilateral multi issue negotiation domains F Zafari, F Nassiri-Mofakham Recent Advances in Agent-based Complex Automated Negotiation, 285-293, 2016 | 13 | 2016 |
DOPPONENT: A Socially Efficient Preference Model of Opponent in Bilateral Multi Issue Negotiations F Zafari, F Nassiri-Mofakham, AZ Hamadani Journal of Computing and Security 1 (4), 283–292, 2014 | 13 | 2014 |
Current and future developments in artificial intelligence F Nassiri-Mofakham Intelligent Computational Systems: A Multi-Disciplinary Perspective 1, 2017 | 11 | 2017 |
Pars agent: hybrid time-dependent, random and frequency-based bidding and acceptance strategies in multilateral negotiations Z Khosravimehr, F Nassiri-Mofakham Modern Approaches to Agent-based Complex Automated Negotiation, 175-183, 2017 | 11 | 2017 |
Cross-cultural time sensitivity in a bilateral e-negotiation system H Shahmoradi, F Nassiri-Mofakham, F Nemati New Marketing Research Journal 2014 (Special Issue), 55-68, 2014 | 11 | 2014 |
Performance analysis of classification methods and alternative linear programming integrated with fuzzy delphi feature selection B Izadi, B Ranjbarian, S Ketabi, F Nassiri-Mofakham International Journal of Information Technology and Computer Science (IJITCS …, 2013 | 9 | 2013 |
A bidding strategy in combinatorial auctions SS Sedeh, MA Nematbakhsh, F Nassiri-Mofakham Intelligent Systems, Modelling and Simulation (ISMS), 2011 Second …, 2011 | 9 | 2011 |
How does an intelligent agent infer and translate? F Nassiri-Mofakham Computers in Human Behavior 38, 196-200, 2014 | 7 | 2014 |
Bargaining chips: coordinating one-to-many concurrent composite negotiations T Baarslag, T Elfrink, F Nassiri Mofakham, T Koça, M Kaisers, R Aydogan IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent …, 2021 | 5 | 2021 |
A new reactive routing algorithm to improve capacity and average end-to-end delay in MANETs EA Bojd, N Moghim, F Nassiri-Mofakham, N Movahedinia Arabian Journal for Science and Engineering 40, 487-499, 2015 | 5 | 2015 |
A simple semi-dynamic cooperative bargaining approach F Nassiri-Mofakham, MA Nematbakhsh, N Ghassem-aghaee, ... International Journal of Information Science and Management (IJISM) 4 (2), 15-38, 2006 | 5 | 2006 |
Experimental analysis of automated negotiation agents in modeling Gaussian bidders F Hassanvand, F Nassiri-Mofakham IEEE 2021 12th International Conference on Information and Knowledge …, 2021 | 4 | 2021 |
Role of culture in water resources management via sustainable social automated negotiation F Nassiri-Mofakham, MN Huhns Socio-Economic Planning Sciences 86, 101465, 2023 | 3 | 2023 |