BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary
thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological
information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of ... click here for full Aims & Scope
BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary
thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological
information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of
biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems
that capture essential principles of natural biological information processing.
The categories and topics listed below are examples:
the editors will be happy to comment on the relevance of other topics.
Molecular Evolution
Self-organizing and
self-replicating systems
Origins and evolution of the genetic mechanism
Biological Information Processing
Molecular
recognition
Cellular control
Neuromolecular computing
Biological adaptability
Molecular computing technologies
Evolutionary
Systems
Stochastic evolutionary algorithms
Evolutionary optimization
Simulation of genetic and ecological systems
Applications
(neural nets, machine learning, robotics)
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Editor-in-Chief: Contact the Editor
Gary Fogel
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