Automated Fuzzy Bidding Strategy Using Agent's Attitude and Market Competition

This paper designs a novel fuzzy competition and attitude based bidding strategy (FCA-Bid), in which the final best bid is calculated on the basis of the attitude of the bidders and the competition for the goods in the market. The estimation of attitude is based on the bidding item’s attribute assessment, which adapts the fuzzy sets technique to handle uncertainty of the bidding process as well it uses heuristic rules to determine attitude of bidding agents. The bidding strategy also uses and determines competition in the market (based on the two factors i.e. no. of the bidders participating and the total time elapsed for an auction) using Mamdani’s Direct Method. Then the final price of the best bid will be determined based on the assessed attitude and the competition in the market using fuzzy reasoning technique.

[1]  Nicholas R. Jennings,et al.  A Fuzzy-Logic Based Bidding Strategy for Autonomous Agents in Continuous Double Auctions , 2003, IEEE Trans. Knowl. Data Eng..

[2]  Nicholas R. Jennings,et al.  Designing a successful trading agent using fuzzy techniques , 2004 .

[3]  Mayukh Dass,et al.  Modeling On-Line Art Auction Dynamics Using Functional Data Analysis , 2006, math/0609292.

[4]  Ho-fung Leung,et al.  An adaptive attitude bidding strategy for agents in continuous double auctions , 2005, 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service.

[5]  Kwang Mong Sim,et al.  Flexible negotiation agent with relaxed decision rules , 2004, IEEE Trans. Syst. Man Cybern. Part B.

[6]  Nicholas R. Jennings,et al.  Negotiation decision functions for autonomous agents , 1998, Robotics Auton. Syst..

[7]  Nicholas R. Jennings,et al.  A fuzzy constraint based model for bilateral, multi-issue negotiations in semi-competitive environments , 2003, Artif. Intell..

[8]  Huiye Ma.  Bidding strategies in agent based continuous double auctions , 2006 .

[9]  Ryszard Kowalczyk,et al.  On Fuzzy e-Negotiation Agents: autonomous negotiation with incomplete and imprecise information , 2000, Proceedings 11th International Workshop on Database and Expert Systems Applications.

[10]  A. Rosenfeld,et al.  IEEE TRANSACTIONS ON SYSTEMS , MAN , AND CYBERNETICS , 2022 .

[11]  Jun Ma,et al.  Using Agents' Attitudes and Assessments in Automated Fuzzy Bidding Strategy , 2009, ICAART.

[12]  Wolfgang Jank,et al.  Price formation and its dynamics in online auctions , 2008, Decis. Support Syst..

[13]  Peter Stone,et al.  Autonomous Bidding Agents in the Trading Agent Competition , 2001, IEEE Internet Comput..

[14]  Nicholas R. Jennings,et al.  Evolving Bidding Strategies for Multiple Auctions , 2002, ECAI.

[15]  S. Murugesan,et al.  Negotiation by software agents in electronic marketplace , 2000, 2000 TENCON Proceedings. Intelligent Systems and Technologies for the New Millennium (Cat. No.00CH37119).

[16]  Kazuo Tanaka,et al.  An Introduction to Fuzzy Logic for Practical Applications , 1996 .

[17]  Nicholas R. Jennings,et al.  Developing a bidding agent for multiple heterogeneous auctions , 2003, TOIT.

[18]  Nicholas R. Jennings,et al.  Decision procedures for multiple auctions , 2002, AAMAS '02.