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SIGECOM
2009
ACM
114views ECommerce» more  SIGECOM 2009»
16 years 1 months ago
Policy teaching through reward function learning
Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...
Haoqi Zhang, David C. Parkes, Yiling Chen
ATAL
2007
Springer
16 years 24 days ago
Outperforming the competition in multi-unit sealed bid auctions
In this paper, we examine the behavior of bidding agents that are in direct competition with the other participants in an auction setting. Thus the agents are not simply trying to...
Ioannis A. Vetsikas, Nicholas R. Jennings
ICCS
2007
Springer
16 years 23 days ago
Density Based Fuzzy Membership Functions in the Context of Geocomputation
Geocomputation has a long tradition in dealing with fuzzyness in different contexts, most notably in the challenges created by the representation of geographic space in digital for...
Victor Sousa Lobo, Fernando Bação, M...
TARK
2007
Springer
16 years 22 days ago
From conditional probability to the logic of doxastic actions
We investigate the discrete (finite) case of the Popper-Renyi theory of conditional probability, introducing discrete conditional probabilistic models for (multi-agent) knowledge...
Alexandru Baltag, Sonja Smets
HICSS
2006
IEEE
160views Biometrics» more  HICSS 2006»
16 years 20 days ago
Cyber Defense Competitions and Information Security Education: An Active Learning Solution for a Capstone Course
The content of information security curricula spans a wide array of topics. Because of this variety, a program needs to focus on some particular aspect and provide appropriate dep...
Art Conklin