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Using Similarity Criteria to Make Negotiation Trade-Offs

Using Similarity Criteria to Make Negotiation Trade-Offs
Using Similarity Criteria to Make Negotiation Trade-Offs
This paper addresses the issues involved in software agents making trade-offs during automated negotiations in which they have information uncertainty and resource limitations. In particular, the importance of being able to make trade-offs in real-world applications is highlighted and a novel algorithm for performing trade-offs for multi-dimensional goods is developed. The algorithm uses the notion of fuzzy similarity in order to find negotiation solutions that are beneficial to both parties. Empirical results indicate the benefits and effectiveness of the trade-off algorithm in a range of negotiation situations.
119-126
Faratin, P.
a08769c5-138a-47a3-9ec9-a983bcca3ef1
Sierra, C.
3f8f6400-5899-4871-8b30-7f84a52ec9fa
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Faratin, P.
a08769c5-138a-47a3-9ec9-a983bcca3ef1
Sierra, C.
3f8f6400-5899-4871-8b30-7f84a52ec9fa
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30

Faratin, P., Sierra, C. and Jennings, N. R. (2000) Using Similarity Criteria to Make Negotiation Trade-Offs. 4th International Conference on Multi-Agent Systems (ICMAS-2000), United States. pp. 119-126 .

Record type: Conference or Workshop Item (Paper)

Abstract

This paper addresses the issues involved in software agents making trade-offs during automated negotiations in which they have information uncertainty and resource limitations. In particular, the importance of being able to make trade-offs in real-world applications is highlighted and a novel algorithm for performing trade-offs for multi-dimensional goods is developed. The algorithm uses the notion of fuzzy similarity in order to find negotiation solutions that are beneficial to both parties. Empirical results indicate the benefits and effectiveness of the trade-off algorithm in a range of negotiation situations.

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More information

Published date: 2000
Venue - Dates: 4th International Conference on Multi-Agent Systems (ICMAS-2000), United States, 2000-01-01
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 253738
URI: http://eprints.soton.ac.uk/id/eprint/253738
PURE UUID: 09700f50-1b45-4fb7-94a6-9441a5c57ab3

Catalogue record

Date deposited: 04 Nov 2002
Last modified: 16 Dec 2019 20:46

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Contributors

Author: P. Faratin
Author: C. Sierra
Author: N. R. Jennings

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