Faithfulness in internet algorithms
Proceedings of the ACM SIGCOMM workshop on Practice and theory of incentives in networked systems
Instantiating the contingent bids model of truthful interdependent value auctions
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Online auctions for bidders with interdependent values
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Needed foundations for assuring the desirable behavior of software-reliant systems
Proceedings of the FSE/SDP workshop on Future of software engineering research
To boldly go: an occam-π mission to engineer emergence
Natural Computing: an international journal
Efficient interdependent value combinatorial auctions with single minded bidders
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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We consider a tactical data network with limited bandwidth, in which each agent is tracking objects and may have value for receiving data from other agents. The agents are self-interested and would prefer to receive data than share data. Each agent has private information about the quality of its data and can misreport this quality and degrade or otherwise decline to share its data. The problem is one of interdependent value mechanism design because the value to one agent for the broadcast of data on an object depends on the quality of the data, which is privately known to the sender. A recent two-stage mechanism due to Mezzetti (2004) can be modified to our setting. Our mechanism achieves efficient bandwidth allocation and provides incentive compatibility by conditioning payments on the realized value for data shared between agents.