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Improving Trust and Reputation Modeling in E-Commerce Using Agent Lifetime and Transaction Count [chapter]

Catherine Cormier, Thomas T. Tran
2009 Lecture Notes in Business Information Processing  
To meet these objectives, we propose the use of two new parameters in trust and reputation modeling: agent lifetime and total transaction count.  ...  However, the subjective and social-based qualities that are inherent to trust and reputation introduce many complexities into the development of a reliable model.  ...  On each time step, every buying agent in the marketplace is given the opportunity to buy.  ... 
doi:10.1007/978-3-642-01187-0_15 fatcat:o46cy5qmufak7nzvwkv6nojqlm

A Reputation-Oriented Reinforcement Learning Strategy for Agents in Electronic Marketplaces

Thomas Tran, Robin Cohen
2002 Computational intelligence  
We also include the ability for buying agents to optionally explore the marketplace in order to discover new reputable sellers.  ...  Modelling the reputation of sellers allows buying agents to focus on those sellers with whom a certain degree of trust has been established.  ...  We discussed that the proposed algorithm may lead to improved performance for buying agents, higher level of satisfaction for both buying and selling agents, reduced communication load, and more robust  ... 
doi:10.1111/1467-8640.t01-1-00203 fatcat:xe4e2g2z2vddpdwfewevs4uzxy

Learning Algorithms for Software Agents in Uncertain and Untrusted Market Environments

Thomas T. Tran, Robin Cohen
2003 International Joint Conference on Artificial Intelligence  
In this paper, we propose algorithms for buying and selling agents in electronic marketplaces, based on reputation modelling and reinforcement learning (RL).  ...  We have performed experimentation to measure the value of our model on both microscopic and macroscopic levels.  ... 
dblp:conf/ijcai/TranC03 fatcat:mc6kqfgizfcm7h4riutr7e72be

Personality for buyer and seller agents in electronic marketplace based on reputation and reinforcement learning

Adel Jahanbani
2012 African Journal of Business Management  
In this paper, we propose a marketplace model which is based on personality, reputation and reinforcement learning algorithms for buying and selling agents.  ...  In addition, seller agents apply reinforcement learning to establish a model of reputation of buyer agents.  ...  Also, it models the reputation of mobile buying agents to dedicate discount for them based on their reputation.  ... 
doi:10.5897/ajbm11.2492 fatcat:2edwjacysrcefhjhq3edqcazxq

An Experimental Testbed for Evaluation of Trust and Reputation Systems [chapter]

Reid Kerr, Robin Cohen
2009 IFIP Advances in Information and Communication Technology  
In this paper, we propose an experimentation and evaluation testbed based directly on that used in our investigations into security vulnerabilities in trust and reputation systems for marketplaces.  ...  Efforts in the trust and reputation community to develop a testbed have yielded a successful competition platform, ART.  ...  -The Reputation Lag agent depends on the delay that exists in many marketplaces between the time he is paid by the buyer, and the time that his reputation is updated to reflect the outcome of the transaction  ... 
doi:10.1007/978-3-642-02056-8_16 fatcat:u4fx764amffvdmpq6pmelcz4m4

Belief-Desire-Intention (BDI) Multi-agent System for Cloud Marketplace Negotiation [article]

Saurabh Deochake
2022 arXiv   pre-print
Each party in the cloud marketplace system supports a BDI agent for autonomous decision making and negotiation to facilitate automated buying and selling of resources.  ...  The cloud marketplace system is further augmented with assignments of behavior norm and reputation index to the agents to facilitate trust among them.  ...  in the marketplace to buy more resources.  ... 
arXiv:2206.08468v1 fatcat:sun35ju5svdl7iwadpcivjuaqa

Page 641 of Psychological Abstracts Vol. 90, Issue 2 [page]

2003 Psychological Abstracts  
Also included is the ability for buying agents to optionally ex- plore the marketplace in order to discover new reputable sellers.  ...  Modeling the reputation of sellers allows buying agents to focus on those sellers with whom a certain degree of trust has been established.  ... 

A familiarity-based trust model for effective selection of sellers in multiagent e-commerce systems

Jie Zhang, Ali A. Ghorbani, Robin Cohen
2007 International Journal of Information Security  
In electronic marketplaces, trust is modeled, for instance, in order to allow buying agents to make effective selection of selling agents.  ...  We propose an improved familiarity measurement based on the exploration of factors that affect a human's feelings of familiarity.  ...  Ghorbani and from the Natural Science and Engineering Research Council of Canada (NSERC) for Drs. Ghorbani and Cohen.  ... 
doi:10.1007/s10207-007-0025-y fatcat:dun2vb4kpjb5veetk4vjzww3xm

Extensive Experimental Validation of a Personalized Approach for Coping with Unfair Ratings in Reputation Systems

Jie Zhang
2011 Journal of Theoretical and Applied Electronic Commerce Research  
The unfair rating problem exists when a buying agent models the trustworthiness of selling agents by also relying on ratings of the sellers from other buyers in electronic marketplaces, that is in a reputation  ...  Our approach allows a buyer to model both the private reputation and public reputation of other buyers to determine whether these buyers' ratings are fair.  ...  Introduction In electronic marketplaces populated by self-interested agents, buying agents would benefit by modeling the trustworthiness of selling agents, in order to make effective decisions about which  ... 
doi:10.4067/s0718-18762011000300005 fatcat:hjvgyk75tzg75o5psnwgfxhuwq

Shadow markets and hierarchies: comparing and modeling networks in the Dark Net

2018 Journal of Institutional Economics  
We examine structures of networks on the Internet Dark Net (Virtual) and compare it to network structures of traditional black markets (Ground), using agent-based modeling.  ...  The purpose of modeling these two different types of illicit markets is to understand the network structure that emerges from the interactions of the agents in each environment.  ...  Buying agents in the ground model can only imperfectly perceive the true reputation of the agents they could possibly deal with and have to make a buying decision based on this information.  ... 
doi:10.1017/s1744137417000613 fatcat:s4pnixe6ffgh7bt7freesnwh4u

Trust Evaluation for Reliable Electronic Transactions between Business Partners [chapter]

Joana Urbano, Ana Paula Rocha, Eugénio Oliveira
2012 Lecture Notes in Business Information Processing  
The model was evaluated in an agent-mediated simulated textile virtual market, also described in this paper.  ...  contracts measure can improve the efficiency of the automatic selection of reliable partners in certain population scenarios.  ...  Acknowledgements The first author enjoys a PhD grant with reference SFRH/BD/39070/2007 from the Portuguese Fundação para a Ciência e a Tecnologia.  ... 
doi:10.1007/978-3-642-28563-9_12 fatcat:albxlxhhsve25nwer6czjwwy3e

A framework for trust modeling in multiagent electronic marketplaces with buying advisors to consider varying seller behavior and the limiting of seller bids

Jie Zhang, Robin Cohen
2013 ACM Transactions on Intelligent Systems and Technology  
In this article, we present a framework of use in electronic marketplaces that allows buying agents to model the trustworthiness of selling agents in an effective way, making use of seller ratings provided  ...  A framework for trust modeling in multiagent electronic marketplaces with buying advisors to consider varying seller behavior and the limiting of seller bids.  ...  RELATED WORK A growing number of researchers in artificial intelligence have been studying how to model the trustworthiness of selling agents in muliagent-based electronic marketplaces, in an effort to  ... 
doi:10.1145/2438653.2438659 fatcat:yeov24naxfcs3f4umf2gaifj4y

Dynamic Credibility Threshold Assignment in Trust and Reputation Mechanisms Using PID Controller [chapter]

Mohsen Mohkami, Zeinab Noorian, Julita Vassileva
2015 Lecture Notes in Computer Science  
According to the status of the e-marketplace the feedback system improves the performance utilizing PID controller from the field of control systems.  ...  The results of experiments, using simulation and real-world dataset show that the market-adaptive honesty threshold allows to optimize the performance of the marketplace with respect to throughput and  ...  would be improvements in the performance of the marketplace.  ... 
doi:10.1007/978-3-319-22747-4_12 fatcat:oppb7x366rbylmccyhrztcdlbm

TATM: A Trust Mechanism for Social Traders in Double Auctions [chapter]

Jacob Dumesny, Tim Miller, Michael Kirley, Liz Sonenberg
2011 Lecture Notes in Computer Science  
We present the Trading Agent Trust Model (TATM) that individual traders employ to detect deceptive traders and mitigate their influence on the individual's actions.  ...  Traders that operate in markets with multiple competing marketplaces can use learning to choose in which marketplace they will trade, and how much they will shout in that marketplace.  ...  Related Work: Trust and Reputation Mechanisms Enhancing decision making in trading markets by mimicing successful peers has the potential to improve both individual agent performance and market efficiency  ... 
doi:10.1007/978-3-642-25832-9_41 fatcat:pnwgyhho25e7xouwj4zdqndwge

PumaMart: a parallel and autonomous agents based internet marketplace

Yan Wang, Kian-Lee Tan, Jian Ren
2004 Electronic Commerce Research and Applications  
In this paper, we present PumaMart, a Parallel and autonomous agents based Internet Marketplace, which deploys several novel models to facilitate autonomous and automatic online buying and selling by software  ...  These information will be sent to the master agent at the server of the Agent Service Provider (ASP), which will employ its worker agents for subsequent shop searching/filtering, offer gathering/evaluating  ...  Acknowledgement This work is supported by the NSTB/MOE funded project on Strategic Program on Computer Security (R-252-000-015-112/303).  ... 
doi:10.1016/j.elerap.2004.01.003 fatcat:pmehcha7l5hlhi5lgou3ibggsu
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