A Multiagent Framework for Automated Online Bargaining

IEEE Intelligent Systems

Volumn 16, Issue 4, 2001, Pages 41-47

  Lin, Fu Ren ^a   Chang, Kuang Yi ^a  

^a NATIONAL SUN YAT SEN UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED BARGAINING AGENTS; AUTOMATED ONLINE BARGAINING; ONLINE DYNAMIC BARGAINING SYSTEM;

ALGORITHMS; COSTS; DATABASE SYSTEMS; INTELLIGENT AGENTS; LEARNING SYSTEMS; MULTI AGENT SYSTEMS; NEURAL NETWORKS; ONLINE SYSTEMS; PATTERN MATCHING;

ELECTRONIC COMMERCE;

EID: 0035387938     PISSN: 15411672     EISSN: None     Source Type: Journal    
DOI: 10.1109/5254.941356     Document Type: Article

References (6)

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2. P. Maes, R.H. Guttman, and A.G. Moukas, “Agents That Buy and Sell,” Comm. ACM, vol. 42, no. 3, Mar. 1999, pp. 81-91.
3. T.-P. Liang and H.-S. Doong, “Effect of Bar gaining in Electronic Commerce,” Int'l J. Electronic Commerce, vol. 4, no. 3, Spring 2000, pp. 23-43.
4. D. Berndt and J. Clifford, “Finding Patterns in Time Series: A Dynamic Programming Approach,” Advances in Knowledge Discovery and Data Mining, U.M. Fayyad et al., eds., AAAI Press, Menlo Park, Calif., 1996, pp. 229-247.
5. X. Ge and P. Smyth, Deformable Markov Templates for Time-Series Pattern Matching, tech. report 00-10, Dept. Information and Computer Science, Univ. California, Irvine, Mar. 2000; www.ics.uci.edu/~datalab/papers. html (current 27 June 2001).
6. J.C. Nunnally, Psychometric Theory (2nd edition), McGraw-Hill, New York, 1978.