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» Modeling and Simulation of Operating System Behavior
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AICOM
2002
103views more  AICOM 2002»
14 years 10 months ago
The emergent computational potential of evolving artificial living systems
The computational potential of artificial living systems can be studied without knowing the algorithms that govern their behavior. Modeling single organisms by means of socalled c...
Jirí Wiedermann, Jan van Leeuwen
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
14 years 11 months ago
Evolution of discrete gene regulatory models
Gene regulatory networks (GRNs) are complex control systems that govern the interaction of genes, which ultimately control cellular processes at the protein level. GRNs can be ted...
Afshin Esmaeili, Christian Jacob
APSEC
1996
IEEE
15 years 2 months ago
M-base : An Application Development Environment for End-user Computing based on Message Flow
Explosive increase in end-user computing on distributed systems requires that end-users develop application software by themselves. One solution is given as aformula of "adom...
Takeshi Chusho, Yuji Konishi, Masao Yoshioka
AIPS
2003
14 years 11 months ago
A Multi-Agent System-driven AI Planning Approach to Biological Pathway Discovery
As genomic and proteomic data is collected from highthroughput methods on a daily basis, subcellular components are identified and their in vitro behavior is characterized. Howev...
Salim Khan, William Gillis, Carl Schmidt, Keith De...
ICALP
1992
Springer
15 years 2 months ago
What Good Are Digital Clocks?
Real-time systems operate in \real," continuous time and state changes may occur at any real-numbered time point. Yet many veri cation methods are based on the assumption that...
Thomas A. Henzinger, Zohar Manna, Amir Pnueli