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» Learning Models of Macrobehavior in Complex Adaptive Systems
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MIDDLEWARE
2007
Springer
14 years 3 months ago
Augmenting reflective middleware with an aspect orientation support layer
Reflective middleware provides an effective way to support adaptation in distributed systems. However, as distributed systems become increasingly complex, certain drawbacks of the...
Bholanathsingh Surajbali, Geoff Coulson, Phil Gree...
GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
13 years 10 months ago
SSNNS -: a suite of tools to explore spiking neural networks
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee
IFIP3
1998
151views Education» more  IFIP3 1998»
13 years 10 months ago
Conceptual Workflow Modelling for Remote Courses
Development of a wide spread project intended to teaching Computer Science, integrating a considerable number of students all over a country with big geographical extension and sc...
José Palazzo M. de Oliveira, Mariano Nicola...
CVPR
2007
IEEE
14 years 11 months ago
Beyond bottom-up: Incorporating task-dependent influences into a computational model of spatial attention
A critical function in both machine vision and biological vision systems is attentional selection of scene regions worthy of further analysis by higher-level processes such as obj...
Robert J. Peters, Laurent Itti
SIGSOFT
2005
ACM
14 years 9 months ago
The story of moose: an agile reengineering environment
Moose is a language-independent environment for reverseand re-engineering complex software systems. Moose provides a set of services including a common meta-model, metrics evaluat...
Oscar Nierstrasz, Stéphane Ducasse, Tudor G...