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» Memory analysis and significance test for agent behaviours
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GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
13 years 8 months ago
Memory analysis and significance test for agent behaviours
Many agent problems in a grid world have a restricted sensory information and motor actions. The environmental conditions need dynamic processing of internal memory. In this paper...
DaeEun Kim
GAMEON
2008
13 years 6 months ago
Automatable Evaluation Method Oriented toward Behaviour Believability for Video Games
Classic evaluation methods of believable agents are time-consuming because they involve many human to judge agents. They are well suited to validate work on new believable behavio...
Fabien Tencé, Cédric Buche
BMCBI
2007
148views more  BMCBI 2007»
13 years 4 months ago
Computation of significance scores of unweighted Gene Set Enrichment Analyses
Background: Gene Set Enrichment Analysis (GSEA) is a computational method for the statistical evaluation of sorted lists of genes or proteins. Originally GSEA was developed for in...
Andreas Keller, Christina Backes, Hans-Peter Lenho...
CONNECTION
2004
94views more  CONNECTION 2004»
13 years 4 months ago
Evolving internal memory for T-maze tasks in noisy environments
In autonomous agent systems, internal memory can be an important element to overcome the limitations of purely reactive agent behaviour. This paper presents an analysis of memory r...
DaeEun Kim
ATAL
2006
Springer
13 years 8 months ago
Evolutionary Stability of Behavioural Types in the Continuous Double Auction
In this paper, we investigate the effectiveness of different types of bidding behaviour for trading agents in the Continuous Double Auction (CDA). Specifically, we consider behavi...
Perukrishnen Vytelingum, Dave Cliff, Nicholas R. J...