Iterative combinatorial auctions: achieving economic and computational efficiency
Iterative combinatorial auctions: achieving economic and computational efficiency
Designing a Multi-Agent system to simulate scenarios for decision-making in river basin systems
Proceedings of the 2006 conference on Artificial Intelligence Research and Development
Auction Mechanisms for Efficient Advertisement Selection on Public Displays
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
A probabilistic trust model for handling inaccurate reputation sources
iTrust'05 Proceedings of the Third international conference on Trust Management
A Fair Mechanism for Recurrent Multi-unit Auctions
MATES '08 Proceedings of the 6th German conference on Multiagent System Technologies
Review: Improving urban wastewater management through an auction-based management of discharges
Environmental Modelling & Software
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The use of auctions for distributing resources in competing environments has produced a large variety of auctions types and algorithms to treat them. However, auctions have some problems when faced with some real-world applications containing renewable and perishable resources. In this paper we present a mechanism to deal with such issues by dynamically configuring some of the auction parameters taking into account the past experience. The mechanism has been used to coordinate industrial discharges and a Waste Water Treatment Plant, so that the treatment thresholds of the plant are never exceeded. We have performed some simulations to evaluate the system, and the results show that with this mechanism the coordination between the industries improves the treatment of the water.