Q11: What EC related journals and magazines are there?
[eds note: comments on speed of reviewing and publishing, whether
they accept LaTeX/TeX format or ASCII by e-mail, etc. are welcome]
1. Dedicated EC Journals:
Evolutionary Computation
Published quarterly by: MIT Press Journals, 55 Hayward Street,
Cambridge, MA 02142-1399, USA. Tel: (617) 253-2889, Fax: (617)
258-6779, <journals-orders@mit.edu>
Along with the explosive growth of the computing industry has come
the need to design systems capable of functioning in complex,
changing ENVIRONMENTs. Considerable effort is underway to explore
alternative approaches to designing more robust computer systems
capable of learning from and adapting to the environment in which
they operate.
One broad class of such techniques takes its inspiration from natural
systems with particular emphasis on evolutionary models of
computation such as GAs, ESs. CFS, and EP. Until now, information
on these techniques has been widely spread over numerous disciplines,
conferences, and journals. [eds note: The editorial board reads like
a who-is-who in EC.] For paper e-mail submission, use one of the
following addresses:
o America: John Grefenstette <gref@aic.nrl.navy.mil>
o Europe: Heinz Muehlenbein <heinz.muehlenbein@gmd.de>
o Asia: Hiroaki Kitano <kitano@csl.sony.co.jp>
o Ed-in-chief: Ken De Jong <kdejong@aic.gmu.edu>
Please note, that submissions should be sent to one of the sub-
editors. Grefenstette and Kitano accept LaTeX or PostScript
submissions.
BioSystems
Journal of Biological and Information Processing Sciences, Elsevier
Science Publishers, P.O. Box 1527, 1000 BM Amsterdam, The
Netherlands.
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.
Topics: Molecular EVOLUTION: Self-organizing and self-replicating
systems, Origin and evolution of the genetic mechanism; Biological
Information Processing: Molecular recognition, Cellular control,
Neuromuscular 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))
2. Related Journals:
Complex Systems
Published by: Complex Systems Publications, Inc., P.O. Box 6149,
Champaign, IL 61821-8149, USA.
Complex Systems devotes to the rapid publication of research on the
science, mathematics, and engineering of systems with simple
components but complex overall behavior. Try finger(1) on
<jcs@wri.com> for additional info.
Machine Learning
Published by: Kluwer Academic Publishers, P.O. Box 358, Accord
Station, Hingham, MA 02018-0358 USA.
Machine Learning is an international forum for research on
computational approaches to learning. The journal publishes articles
reporting substantive research results on a wide range of learning
methods applied to a variety of task domains. The ideal paper will
make a theoretical contribution supported by a computer
implementation.
The journal has published many key papers in learning theory,
reinforcement learning, and decision tree methods. The journal
regularly publishes special issues devoted to GAs and CFS as well.
Adaptive Behavior
Published quarterly by: MIT Press Journals, details above.
Broadly, behavior is adaptive if it deals successfully with changes
circumstances. For example, when surprised, a hungry --but
environmentally informed-- mouse may dart for cover rather than
another piece of cheese. Similarly, a tripped-up ROBOT [eds note: not
necessarily built by Sirius Cybernetics Corp.] could get back on its
feet and accomplish a moonrock-finding mission if it had learned to
cope with unanticipated lunar potholes.
Adaptive Behavior thus takes an approach complementary to traditional
AI. Now basic abilities that allow animals to survive, or ROBOTs to
perform their mission in unpredictable ENVIRONMENTs, will be studied
in preference to more elaborate and human-specific abilities.
The journal also aims to investigate which new insights into
intelligence and cognition can be achieved by explicitly taking into
account the ENVIRONMENT feedback --mediated by behavior-- that an
animal or a ROBOT receives, instead of studying components of
intelligence in isolation.
Topics: INDIVIDUAL and Collective Behavior. Neural Correlates of
Behavior. Perception and Motor Control. Motivation and Emotion.
Action SELECTION and Behavioral Sequences. Internal World Models.
Ontogeny, Learning, and EVOLUTION. Characterization of ENVIRONMENTs.
Artificial Life
Published quarterly by: MIT Press Journals, details above.
Artificial Life is intended to be the primary forum for the
dissemination of scientific and engineering research in the field of
ARTIFICIAL LIFE. It will report on synthetic biological work being
carried out in any and all media, from the familiar "wetware" of
organic chemistry, through the inorganic "hardware" of mobile ROBOTs,
all the way to the virtual "software" residing inside computers.
Research topics ranging from the fabrication of self-replicating
molecules to the study of evolving POPULATIONs of computer programs
will be included.
There will also be occasional issues devoted to special topics, such
as L-Systems, GENETIC ALGORITHMs, in-vitro EVOLUTION of molecules,
artificial cells, computer viruses, and many social and philosophical
issues arising from the attempt to synthesize life artificially.
[eds note: The editorial board reads like a who-is-who in ALIFE]
Evolutionary Economics
Published quarterly by: Springer-Verlag New York, Inc., Service
Center Secaucus, 44 Hartz Way, Secaucus, NJ 07094, USA. Tel: (201)
348-4033, Fax: (201) 348-4505.
Evolutionary Economics aims to provide an international forum for a
new approach to economics. Following the tradition of Joseph A.
Schlumpeter, it is designed to focus on original research with an
evolutionary conception of the economy. The journal will publish
articles with strong emphasis on dynamics, changing structures
(including technologies, institutions, beliefs, imitation, etc.). It
favors interdisciplinary analysis and is devoted to theoretical,
methodological and applied work.
Research areas include: industrial dynamics; multi-sectoral and
cross-country studies of productivity; innovations and new
technologies; dynamic competition and structural change in a national
and international context; causes and effects of technological,
political and social changes; cyclic processes in economic EVOLUTION;
the role of governments in a dynamic world; modeling complex dynamic
economic systems; application of concepts, such as self-organization,
bifurcation, and chaos theory to economics; evolutionary games.
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