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Perseus -- A Personalized Reputation System

Petteri Nurmi
2007 IEEE/WIC/ACM International Conference on Web Intelligence (WI'07)  
We propose Perseus, a personalized reputation system.  ...  We also present simulation experiments, which indicate that Perseus is robust and able to survive under extreme conditions of misbehavior.  ...  In Perseus, we use a stochastic approximation algorithm to update the weights over time.  ... 
doi:10.1109/wi.2007.4427192 fatcat:5hmgorpgindltnh6w6ezk6nsna

Perseus -- A Personalized Reputation System

Petteri Nurmi
2007 IEEE/WIC/ACM International Conference on Web Intelligence (WI'07)  
We propose Perseus, a personalized reputation system.  ...  We also present simulation experiments, which indicate that Perseus is robust and able to survive under extreme conditions of misbehavior.  ...  In Perseus, we use a stochastic approximation algorithm to update the weights over time.  ... 
doi:10.1109/wi.2007.121 dblp:conf/webi/Nurmi07 fatcat:6lwwy67rufbwnkj677jqvphuqy

Robust Reputation Protocol Design for Online Communities: A Stochastic Stability Analysis

Yu Zhang, Mihaela van der Schaar
2013 IEEE Journal on Selected Topics in Signal Processing  
Subsequently, using these structural results we design incentive mechanisms based on reputation protocols for governing the online communities, which can "manage" the long-run evolution of the community  ...  This paper proposes a new class of incentive mechanisms aiming at compelling self-interested users in online communities to cooperate with each other by exchanging resources or services.  ...  him), nor frequent interactions, they form a suitable basis for designing incentive mechanisms for online communities with large populations.  ... 
doi:10.1109/jstsp.2013.2263785 fatcat:wuum2e3ky5e5tieoirnuhofs44

Strategic Learning and Robust Protocol Design for Online Communities with Selfish Users [article]

Yu Zhang, Mihaela van der Schaar
2011 arXiv   pre-print
In this paper, we generalize the study by analyzing the interactions of self-interested users in online communities with finite populations and are not stationary.  ...  To optimize their long-term performance based on their knowledge, users adapt their strategies to play their best response by solving individual stochastic control problems.  ...  Various incentive mechanisms have been proposed to encourage cooperation in online communities [2] [3] [6] , with a large body of them relying on the idea of reciprocity, in which users are rated based  ... 
arXiv:1108.5514v1 fatcat:bsycsjtvtrh5nmsa5rms6zyt3i

Influencing the long-term evolution of online communities using social norms

Yu Zhang, Mihaela van der Schaar
2011 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton)  
To optimize their long-term performance while operating in the community, users adapt strategies to play their best response based on their knowledge by solving individual stochastic control problems.  ...  This paper focuses on analyzing the interactions emerging between users in online communities.  ...  Various incentive mechanisms have been proposed to encourage cooperation in online communities [2] [14] [16] , with a large body of them relying on the idea of reciprocity, in which users are rated  ... 
doi:10.1109/allerton.2011.6120183 dblp:conf/allerton/ZhangS11 fatcat:frxrsk4lfjfcnlwbdqgu752zny

ADVERSE SELECTION IN ELECTRONIC MARKETS: EVIDENCE FROM ONLINE STAMP AUCTIONS

Sanjeev Dewan, Vernon Hsu
2004 Journal of Industrial Economics  
Consistent with this adverse selection discount we find that the seller reputation mechanism on eBay has an economically modest, although statistically significant, effect on auction price and probability  ...  We analyze adverse selection costs in online stamp auctions, based on a comparison of prices on eBay with those of matched stamps at a specialty stamps auction site in the U.S., Michael Rogers Inc.  ...  The proliferation of online reputation systems has been accompanied by research interest in their effectiveness.  ... 
doi:10.1111/j.0022-1821.2004.00237.x fatcat:kpyccqvla5dxrk7qdhnmsganam

Automatic Generation Control for Distributed Multi-Region Interconnected Power System with Function Approximation

Yuchen Liu, Le Zhang, Lei Xi, Qiuye Sun, Jizhong Zhu
2021 Frontiers in Energy Research  
Results show that compared with other algorithms, the proposed algorithm has optimal cooperative control performance, fast convergence speed and good robustness, which can solve the strong stochastic disturbance  ...  Under such control, the energy autonomy of each region can be achieved, and the strong stochastic disturbance caused by the large-scale access of distributed energy to grid can be resolved.  ...  Thus, the stochastic disturbances caused by large-scale new energy access to the grid can be solved.  ... 
doi:10.3389/fenrg.2021.700069 fatcat:c6swyrbi6vdgxozpraswwrsdlu

The responsiveness of criminal networks to intentional attacks: Disrupting darknet drug trade

Scott Duxbury, Dana L. Haynie, Marton Karsai
2020 PLoS ONE  
Operating in tandem, these two processes undermine long-term network robustness and increase network vulnerability to future attacks.  ...  As is common, we estimated the model through method of moments using a stochastic approximation algorithm.  ...  Results from our primary stochastic actororiented models suggest that much of the preferential attachment observed in the empirical network is driven by vendors' reputations (cumulative sales ratings)  ... 
doi:10.1371/journal.pone.0238019 pmid:32911485 fatcat:dle6t5pf7ngtbgnfzf3dw7u4iy

Evolution of generous cooperative norms by cultural group selection

István Scheuring
2009 Journal of Theoretical Biology  
Individuals are well informed about the previous actions and reputations, and follow second order norms. Individuals are norm-followers, and imitate their successful group mates.  ...  The group selection mechanism is widely debated by arguing that group (or multilevel) selection can be explained by kin selection mechanism as well (Traulsen and Nowak, 2006; Taylor and Nowak, 2007; Lehmann  ...  We studied the robustness of our model by changing systematically its parameters (see Appendix).  ... 
doi:10.1016/j.jtbi.2008.12.022 pmid:19171153 fatcat:vnzrt4ke4rcjhe5xg6ncqcizny

Reputation distribution and consumer-to-consumer online auction market structure: an exploratory study

Zhangxi Lin, Dahui Li, Balaji Janamanchi, Wayne Huang
2006 Decision Support Systems  
We propose that online reputation is becoming an important indicator of online traders' business capacity in the auction market.  ...  Following Gibrat's law and the theory of firm's entry and exit, we further explore the reputation data to study the dynamics of the online market. Implications of the findings are discussed  ...  be generated by a multiplicative stochastic process" ( [17, pp.1244-1245] ).  ... 
doi:10.1016/j.dss.2004.07.006 fatcat:olkmskovy5fm3jjn2wrdleizgi

Reputation distribution and consumer-to-consumer online auction market structure: an exploratory study

Z LIN, D LI, B JANAMANCHI, W HUANG
2004 Decision Support Systems  
We propose that online reputation is becoming an important indicator of online traders' business capacity in the auction market.  ...  Following Gibrat's law and the theory of firm's entry and exit, we further explore the reputation data to study the dynamics of the online market. Implications of the findings are discussed  ...  be generated by a multiplicative stochastic process" ( [17, pp.1244-1245] ).  ... 
doi:10.1016/s0167-9236(04)00164-2 fatcat:zmagndy7nngbzlalkdi56x67hi

Using CHI-scores to reward honest feedback from repeated interactions

Radu Jurca, Boi Faltings
2006 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems - AAMAS '06  
Online communities increasingly rely on reputation information to foster cooperation and deter cheating.  ...  The mechanism has intuitive appeal and generates significantly lower costs than existing incentive-compatible reporting mechanisms.  ...  INTRODUCTION Reputation mechanisms emerge as a promising solution for building trust in online communities lacking objective monitoring and enforcing authorities.  ... 
doi:10.1145/1160633.1160856 dblp:conf/atal/JurcaF06 fatcat:roohetsvifgc3mtrszw35ttqsi

A Taxonomy to Express Open Challenges in Trust and Reputation Systems

Mozhgan Tavakolifard, Kevin C. Almeroth
2012 Journal of Communications  
The robustness of these mechanisms is one of the critical factors required for the success of this technology.  ...  The critical open challenges that limit the effectiveness of today's trust and reputation systems are discussed by providing a comprehensive literature review.  ...  Trust and reputation system robustness can be evaluated by implementing them in a real environment or from a theoretical perspective by third parties. 5) New domains where reputation mechanisms can be  ... 
doi:10.4304/jcm.7.7.538-551 fatcat:z6wtluf6grbhbiabfmuy5notkm

2020 Index IEEE Transactions on Automatic Control Vol. 65

2020 IEEE Transactions on Automatic Control  
Wang, D., +, TAC March 2020 1272- 1279 Stochastic Control Approach to Reputation Games.  ...  ., TAC May 2020 1969-1984 Stochastic Artificial Potentials for Online Safe Navigation.  ...  Linear programming A Decentralized Event-Based Approach for Robust Model Predictive Control.  ... 
doi:10.1109/tac.2020.3046985 fatcat:hfiqhyr7sffqtewdmcwzsrugva

Electronic Markets and Auctions (Dagstuhl Seminar 13461)

Yishay Mansour, Benny Moldovanu, Noam Nisan, Berthold Vöcking, Marc Herbstritt
2014 Dagstuhl Reports  
Economics have been traditionally interested in markets in general and designing efficient markets mechanisms (such as auctions) in particular.  ...  perspective, with the advent of the Internet, there has been a significant amount of work in Algorithmic Game Theory focusing on computational aspects of electronic markets and on algorithmic aspects of mechanism  ...  A 10.5-approximate truthful mechanism for minimizing makespan on unrelated machines.  ... 
doi:10.4230/dagrep.3.11.58 dblp:journals/dagstuhl-reports/MansourMNV13 fatcat:yvkfyeeezrhhnhckygpqseqwx4
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