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TARK
2007
Springer
15 years 3 months ago
The computational complexity of choice sets
Social choice rules are often evaluated and compared by inquiring whether they fulfill certain desirable criteria such as the Condorcet criterion, which states that an alternativ...
Felix Brandt, Felix A. Fischer, Paul Harrenstein
SIGECOM
2006
ACM
155views ECommerce» more  SIGECOM 2006»
15 years 3 months ago
Incentives engineering for structured P2P systems - a feasibility demonstration using economic experiments
Structured peer-to-peer systems allow to administer large volumes of data. Several peers collaborate to generate a query result. Analyses of unstructured peer-to-peer systems, nam...
Stephan Schosser, Klemens Böhm, Rainer Schmid...
SIGECOM
2006
ACM
107views ECommerce» more  SIGECOM 2006»
15 years 3 months ago
Empirical mechanism design: methods, with application to a supply-chain scenario
Our proposed methods employ learning and search techniques to estimate outcome features of interest as a function of mechanism parameter settings. We illustrate our approach with ...
Yevgeniy Vorobeychik, Christopher Kiekintveld, Mic...
ATAL
2005
Springer
15 years 3 months ago
Approximating state estimation in multiagent settings using particle filters
State estimation consists of updating an agent’s belief given executed actions and observed evidence to date. In single agent environments, the state estimation can be formalize...
Prashant Doshi, Piotr J. Gmytrasiewicz
LAMAS
2005
Springer
15 years 3 months ago
An Overview of Cooperative and Competitive Multiagent Learning
Abstract Multi-agent systems (MASs) is an area of distributed artificial intelligence that emphasizes the joint behaviors of agents with some degree of autonomy and the complexiti...
Pieter Jan't Hoen, Karl Tuyls, Liviu Panait, Sean ...