New draft: Complexity measurement of natural and artificial languages

We compared entropy for texts written in natural languages (English, Spanish) and artificial languages (computer software) based on a simple expression for the entropy as a function of message length and specific word diversity. Code text written in artificial languages showed higher entropy than text of similar length expressed in natural languages. Spanish texts exhibit more symbolic diversity than English ones. Results showed that algorithms based on complexity measures differentiate artificial from natural languages, and that text analysis based on complexity measures allows the unveiling of important aspects of their nature. We propose specific expressions to examine entropy related aspects of tests and estimate the values of entropy, emergence, self-organization and complexity based on specific diversity and message length.

Complexity measurement of natural and artificial languages
Gerardo Febres, Klaus Jaffe, Carlos Gershenson


CfP&A: ALife 14


July 31st - August 2nd, 2014
Javits Center, Manhattan, New York, NY, USA


Sponsored by the International Society for Artificial Life (ISAL)

January 15, 2014 -- Workshop/tutorial proposal deadline
February 1, 2014 -- Science visualization competition deadline
March 31, 2014 -- Paper/abstract submission deadline


We cordially invite you to submit papers to ALIFE 14: The Fourteenth
International Conference on the Synthesis and Simulation of Living
Systems. Since its inception in 1987, ALIFE has been the leading
biyearly international conference in the field of Artificial Life --
the highly interdisciplinary research area on artificially constructed
living systems, including mathematical, computational, robotic, and
biochemical ones. The understanding and application of such
generalized forms of life, or "life-as-it-could-be", have been
producing significant contributions to various fields of science and

The upcoming ALIFE 14 will be held at the Javits Center located in the
middle of Manhattan, New York, the world's largest economic and
cultural center. We hope you will find it a perfect place to discuss
Artificial Life, the intellectual melting pot that mixes biology,
computation, technology, art, philosophy, and more!!

ALIFE 14 accepts submissions in either full paper (8 pages) or
extended abstract (2 pages) format. Accepted papers and abstracts will
be published by MIT Press as open-access electronic
proceedings. Topics of interest include, but are not limited to, the
following aspects of Artificial Life:

 - Bio-inspired and evolutionary robotics
 - Self-replication, self-repair and morphogenesis
 - Artificial chemistry and cellular automata
 - Perception, cognition and behavior
 - Embodied, interactive systems
 - Collective dynamics of swarms
 - Complex dynamical networks
 - Evolutionary dynamics
 - Ecological and social dynamics
 - Economy/society/social media as living systems
 - Methodologies and tools for artificial life
 - Applications to nanotechnology, biology or medicine
 - Applications to business and finance
 - Applications to games and entertainment
 - Artificial life-based art
 - Philosophical and ethical issues
 - Artificial life and education

Best paper awards (best paper, best student paper, best poster) will
be given to highest quality work, with prizes offered by Wolfram
Research, Inc.

General Chair -- Hod Lipson (Cornell University)
Program Chair -- Hiroki Sayama (Binghamton University)
Workshop Chair -- John Reiffel (Union College)
Competition Chair -- Sebastian Risi (IT University of Copenhagen)
Executive Producer -- Ira Fraitag
Event Producer -- Craig Ryan

For more information, please visit the conference website: http://alife14.org.


Editorial Published: Multidisciplinary applications of complex networks modeling, simulation, visualization, and analysis

(...) complex systems are characterized by the interactions between their numerous elements. The word ‘complex’ comes from the Latin plexus which means entwined. In other words, it is difficult to correlate global properties of complex systems with the properties of the individual constituent components. This is primarily because the interactions between these individual elements partly determine the future states of the system (Gershenson 2013). If these interactions are not included in the developed models, the models would not be an accurate reflection of the modelled phenomenon.

Gershenson, C. & M. A. Niazi (2013). Multidisciplinary applications of complex networks modeling, simulation, visualization, and analysis. Complex Adaptive Systems Modeling 1:17  http://dx.doi.org/10.1186/2194-3206-1-17