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Related conferences:
CEC 2005
IEEE Congress on Evolutionary Computation
September 2-5 2005
Edinburgh, UK
ECAL 2005
European Conference on Artificial Life
September 5-9 2005
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ICES 2005
International Conference on Evolvable Systems
September 12-14 2005
Sitges, Barcelona, Spain
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Latest!
Important dates:
Paper submission deadline: February 18, 2005, February 28, 2005
Notification of acceptance: May 18, 2005 May 24, 2005
Camera-ready copy deadline: July 8, 2005
Workshop: August 30 - September 1, 2005
Introduction
The aim of the series of IPCAT workshops is to bring
together a multidisciplinary core of scientists who are working in the
general area of modeling information processing in biosystems.
A general theme is the nature of biological information and the ways in
which it is processed in biological and artificial cells and tissues.
The key motivation is to provide a common ground for dialogue and interaction,
without emphasis on any particular research constituency, or way of modeling,
or single issue in the relationship between biology and information.
IPCAT2005 will highlight recent research and seek to
further the dialogue, exchange of ideas, and development of interactive
viewpoints between biologists, physicists, engineers, computer scientists, technologists
and mathematicians that have been progressively expanded throughout the
IPCAT series of meetings (since 1995).
The workshop will feature sessions of selected original research papers
grouped around emergent themes of common interest, keynotes presentations by distinguished researchers and a number of discussions
and talks focusing on wider themes.
IPCAT2005 encourages experimental, computational, and theoretical articles
that link biology and the information processing sciences and that encompass
the fundamental nature of biological information processing, the 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.
Topics to be covered will include, but
are not limited to, the following:
- Self-organizing, self-repairing, and self-replicating
systems
- Evolutionary algorithms
- Machine learning
- Evolving, adapting, and neural hardware
- Automata and cellular automata
- Information processing in neural and non-neural
biosystems
- Parallel distributed processing biosystem models
- Information processing in bio-developmental
systems
- Novel bio-information processing systems
- Autonomous and evolutionary robotics
- Bionics, neural implants, and bio-robotics
- Molecular evolution and theoretical biology
- Enzyme and gene networks
- Modeling of metabolic pathways and responses
- Simulation of genetic and ecological systems
- Single neuron and sub-neuron information
processing
- Microelectronic simulation of bio-information
systemics
- Artificial bio-sensor and vision implementations
- Artificial tissue and organ implementations
- Applications of nanotechnology
- Quantum informational biology
- Quantum computation in cells and tissues
- DNA computing
- Morphogenetic processes and systems
- Ontogenetic processes and systems
- Systems biology
- Computational biology
Sponsors:
 
Department of Electronics |
