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On artificial agents for negotiation in electronic commerce / James Robert Oliver.
LIBRA Diss. POPM1996.105
Available from offsite location
LIBRA HB004 1996 .O48
Available from offsite location
- Format:
- Book
- Manuscript
- Microformat
- Thesis/Dissertation
- Author/Creator:
- Oliver, James Robert.
- Language:
- English
- Subjects (All):
- Penn dissertations--Decision Sciences.
- Decision Sciences--Penn dissertations.
- Local Subjects:
- Penn dissertations--Decision Sciences.
- Decision Sciences--Penn dissertations.
- Physical Description:
- x, 238 leaves : illustrations ; 29 cm
- Production:
- 1996.
- Summary:
- A well-established body of research consistently shows that people involved in multiple-issue negotiations frequently select pareto-inferior agreements that "leave money on the table." Using an evolutionary computation approach, we show how simple, boundedly rational, artificial, adaptive agents can learn to perform as effectively as humans in stylized negotiations. Furthermore, there is the promise that these agents can be integrated into practicable electronic commerce systems which would not only leave less money on the table, but also would enable new types of transactions to be negotiated cost effectively.
- Notes:
- Supervisor: Steven Orla Kimbrough.
- Thesis (Ph.D. in Decision Sciences) -- University of Pennsylvania, 1996.
- Includes bibliographical references.
- Local Notes:
- University Microfilms order no.: 96-27976.
- OCLC:
- 84481848
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