Agent-Mediated Electronic Commerce VI: Theories for and - download pdf or read online

By Peyman Faratin, Juan A. Rodríguez-Aguilar

ISBN-10: 3540297375

ISBN-13: 9783540297376

This booklet constitutes the completely refereed post-proceedings of the sixth foreign Workshop on Agent-Mediated digital trade, AMEC 2006, held in ny, new york, united states in July 2004 as a part of AAMAS 2004.

The 15 revised complete papers awarded have been rigorously chosen from 39 submissions in the course of rounds of reviewing and revision. The papers assemble novel paintings from such diversified fields as laptop technological know-how, Operations study, man made Intelligence and allotted platforms that target modeling, implementation and evaluate of computational buying and selling establishment and/or agent ideas over a various set of products. they're prepared in topical sections on mechanism layout, buying and selling brokers, and instruments.

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Extra info for Agent-Mediated Electronic Commerce VI: Theories for and Engineering of Distributed Mechanisms and Systems, AAMAS 2004 Workshop, Amec 2004, New York,

Sample text

He tenants have to agree on three architectural features X = {x1 , x2 , x3 } of a planned renovation. For the three features, we have options x1 ∈ d1 = {A, B, C}, x2 ∈ d2 = {A, C} and x3 ∈ d3 = {B, C}. For structural reasons, the combination of x2 = A and x3 = C is not allowed, but all other combinations are feasible. This restriction is modelled by a constraint. Each agent attaches different utilities to a feature or feature combination. Specifically: – for agent A1 and any of the three features, choosing A has a utility of -1, B a utility of 0 and C a utility of +1.

For example, a group going out have dinner together has to choose a restaurant that fits everyone’s preferences. Tenants of a building have to decide on features of a planned renovation. Spectrum has to be divided up among different mobile telephone providers. A mechanism for solving a social choice problem takes as inputs declarations of the agents’ utilities for each outcome, and outputs as a solution the optimal choice and possibly other information. Social choice problems become difficult to solve when agents have conflicting preferences, as each agent will exaggerate its preferences to obtain a better outcome for itself.

In this case, it is efficient to allocate A to agent 1 when x1 < 6 and to agent 2 otherwise. However, it is not possible to achieve an efficient mechanism in this case, since agent 1 will always state x1 < 6 no matter what the real value of x1 is. In the case of our mechanism, agent 1 pays x2 − 6 if it allocated the good. Since v1 (A, ∅) is always higher than this, agent 1 will thus lie and always state a value of x1 < 6. This problem can again be shown to extend to be symptomatic of any mechanism rather than our mechanism [4].

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Agent-Mediated Electronic Commerce VI: Theories for and Engineering of Distributed Mechanisms and Systems, AAMAS 2004 Workshop, Amec 2004, New York, by Peyman Faratin, Juan A. Rodríguez-Aguilar

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