Showing posts from November, 2013

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…

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 Modeling1:17