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ACMICEC
2007
ACM
154views ECommerce» more  ACMICEC 2007»
13 years 11 months ago
Learning and adaptivity in interactive recommender systems
Recommender systems are intelligent E-commerce applications that assist users in a decision-making process by offering personalized product recommendations during an interaction s...
Tariq Mahmood, Francesco Ricci
ATAL
2008
Springer
13 years 9 months ago
Sequential decision making with untrustworthy service providers
In this paper, we deal with the sequential decision making problem of agents operating in computational economies, where there is uncertainty regarding the trustworthiness of serv...
W. T. Luke Teacy, Georgios Chalkiadakis, Alex Roge...
ATAL
2009
Springer
13 years 5 months ago
Replicator Dynamics for Multi-agent Learning: An Orthogonal Approach
Today's society is largely connected and many real life applications lend themselves to be modeled as multi-agent systems. Although such systems as well as their models are d...
Michael Kaisers, Karl Tuyls
HASE
1998
IEEE
13 years 12 months ago
Incremental Development of a High Integrity Compiler: Experience from an Industrial Development
We have developed and successfully applied a technique to build a high integrity compiler from Pasp, a Pascal-like language, to Asp, the target language for a high integrity proce...
Susan Stepney
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
14 years 1 months ago
Event-driven learning classifier systems for online soccer games
This paper reports on the application of classifier systems to the acquisition of decision-making algorithms for agents in online soccer games. The objective of this research is t...
Yuji Sato, Ryutaro Kanno