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» Systems biology, models, and concurrency
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BMCBI
2008
116views more  BMCBI 2008»
15 years 28 days ago
Gene Ontology annotations: what they mean and where they come from
To address the challenges of information integration and retrieval, the computational genomics community increasingly has come to rely on the methodology of creating annotations o...
David P. Hill, Barry Smith, Monica S. McAndrews-Hi...
ICIAP
2009
ACM
15 years 7 months ago
Towards a Theoretical Framework for Learning Multi-modal Patterns for Embodied Agents
Multi-modality is a fundamental feature that characterizes biological systems and lets them achieve high robustness in understanding skills while coping with uncertainty. Relativel...
Nicoletta Noceti, Barbara Caputo, Claudio Castelli...
107
Voted
SASO
2008
IEEE
15 years 7 months ago
Empirical Characterization of Discretization Error in Gradient-Based Algorithms
Many self-organizing and self-adaptive systems use the biologically inspired “gradient” primitive, in which each device in a network estimates its distance to the closest devi...
Jonathan Bachrach, Jacob Beal, Joshua Horowitz, Da...
CEEMAS
2001
Springer
15 years 5 months ago
UML for Behavior-Oriented Multi-agent Simulations
Developing multi-agent simulations seems to be rather straight forward, as active entities in the original correspond to active agents in the model. Thus plausible behaviors can be...
Christoph Oechslein, Franziska Klügl, Rainer ...
92
Voted
DATE
2006
IEEE
101views Hardware» more  DATE 2006»
15 years 6 months ago
Design with race-free hardware semantics
Most hardware description languages do not enforce determinacy, meaning that they may yield races. Race conditions pose a problem for the implementation, verification, and validat...
Patrick Schaumont, Sandeep K. Shukla, Ingrid Verba...