Multi-Agent Systems: Theory and Applications (MASTA)
Abstract
We present a multiagent decision mechanism for the airport
traffic control domain. It enables airlines to jointly decide on propos-
als for plan conflict solutions. The mechanism uses weighted voting for
maximizing global utility and Clarke Tax to discourage manipulation.
We introduce accounts to ensure that all agents are treated fairly, to
some extent. The mechanism allows an airport to determine the pay-off
between optimality and fairness of schedules. Also, it compensates for
agents that happen to be in practically unfavourable positions
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