A Bayesian classifier for learning opponents’ preferences in multi-object automated negotiation

Author:

Buffett Scott,Spencer Bruce

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Marketing,Computer Networks and Communications,Computer Science Applications

Reference15 articles.

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2. Negotiating exchanges of P3P-labeled information for compensation;Buffett;Comput. Intell.,2004

3. S. Buffett, N. Scott, B. Spencer, M.M. Richter, M.W. Fleming, Determining internet users’ values for private information, in: Proceedings of the Second Annual Conference on Privacy, Security and Trust (PST04), 2004, pp. 79–88.

4. U. Chajewska, D. Koller, R. Parr, Making rational decisions using adaptive utility elicitation, in: AAAI-00, Austin, TX, USA, 2000, pp. 363–369.

5. R.M. Coehoorn, N.R. Jennings, Learning an opponent’s preferences to make effective multi-issue negotiation tradeoffs, in: Proceedings of the Sixth International Conference on Electronic Commerce (ICEC2004), Delft, The Netherlands, 2004, pp. 113–120.

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