Group Decision and Negotiation. A Process-Oriented View: by Pascale Zaraté, Gregory E. Kersten, Jorge E. Hernández

By Pascale Zaraté, Gregory E. Kersten, Jorge E. Hernández (eds.)

This booklet constitutes the court cases of the Joint INFORMS-GDN and EWG-DSS overseas convention on crew determination and Negotiation (GDN), held in Toulouse, France, in the course of June 10–13, 2014.

The GDN conferences goal to assemble researchers and practitioners from a large spectrum of fields, together with economics, administration, desktop technological know-how, engineering and determination technological know-how. The contributions document on learn on person and staff determination aid, negotiation and public sale aid and the layout of structures and brokers aiding such processes.

From a complete of 88 submissions, 31 papers have been permitted for e-book during this quantity. The papers are geared up into topical sections on collaborative choice making, auctions, wisdom determination aid structures, multi-criteria choice making, multi-agent platforms, negotiation research, choice research, information research, DSS / GDSS use, community research and semantic instruments for staff determination making.

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Extra info for Group Decision and Negotiation. A Process-Oriented View: Joint INFORMS-GDN and EWG-DSS International Conference, GDN 2014, Toulouse, France, June 10-13, 2014. Proceedings

Sample text

According to Proposition 1, for every supplier there is a unique configuration which is efficient irrespectively of the price. Although every price is feasible, not every price can be accepted by the buyers and the suppliers. , their utility values are nonnegative. The mechanism’s efficiency maximization problem is as follows: max  , S max .  , S (4) subject to: 0. 0 (5) . (6) Assume that supplier s* is the winner and maximum social welfare is obtained when good is selected. If price does not affect welfare, then problem (4)-(6) maximizes social welfare for buyer b and m suppliers (S = {1, …, m}).

It may also be possible that the relationship between this composite price and all other attributes is linear. However, one cannot make such a claim without conducting a detailed study. 1 Efficient Frontier One of the standard assumptions in decision analysis is that the set of feasible alternatives is convex. While this may not be the case when this set is discrete it has often been assumed that such a set is bounded by a convex hull. Utility functions map the feasible set from the decision space onto the utility space.

Reverse auctions rely on the quasi-linearity assumption. It is a strong assumption because “it is not in general possible to model a well-behaved exchange economy as a transferable game” [4]. Luce and Raiffa [5] observe that situations in which quasilinear utilities “can realistically happen remains obscure”. Section 2 discusses quasi-linear utilities and their implications which are relevant to reverse auctions. While these implications are useful because they assure that the reverse auctions are efficient mechanisms which result in efficient solutions, they seldom characterize real-life situations.

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