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.
ALIFE 14: THE FOURTEENTH INTERNATIONAL CONFERENCE ON
THE SYNTHESIS AND SIMULATION OF LIVING SYSTEMS
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
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
In recent years, we have heard more and more about complexity. However, it seems that given the increasing discourse divergence on this topic, instead of generating knowledge we are generating confusion. This paper offers a perspective to speak clearly about complexity from an epistemological point of view.
En años recientes hemos escuchado hablar más y más sobre complejidad. Pero pareciera que al haber una diversidad creciente de discursos sobre el tema, en lugar de generar conocimiento estamos generando confusión. En este artículo se ofrece una perspectiva para hablar claramente sobre la complejidad desde un punto de vista epistemológico.
En els últims anys s'ha sentit parlar cada cop més de complexitat. Tot i això, com que hi ha una diversitat creixent de discursos sobre aquest tema, en lloc de generar coneixement, estem generant confusió. En aquest article s'ofereix una perspectiva per parlar clarament sobre complexitat des d'un punt de vista epistemològic.
Gershenson, C. (2013). ¿Cómo hablar de complejidad? Llengua, Societat i Comunicació, 11:14–19.
This article presents an overview of current and potential applications of living technology to some urban problems. Living technology can be described as technology that exhibits the core features of living systems. These features can be useful to solve dynamic problems. In particular, urban problems concerning mobility, logistics, telecommunications, governance, safety, sustainability, and society and culture are presented, and solutions involving living technology are reviewed. A methodology for developing living technology is mentioned, and supraoptimal public transportation systems are used as a case study to illustrate the benefits of urban living technology. Finally, the usefulness of describing cities as living systems is discussed.
Related to this TED@SãoPaulo talk.
Check the rest of the papers of this Special Issue on Living Technology.
This chapter reviews the purpose and use of models from the field of complex systems and, in particular, the implications of trying to use models to understand or make decisions within complex situations, such as policy makers usually face. A discussion of the different dimensions one can formalise situations, the different purposes for models and the different kinds of relationship they can have with the policy making process, is followed by an examination of the compromises forced by the complexity of the target issues. Several modelling approaches from complexity science are briefly described, with notes as to their abilities and limitations. These approaches include system dynamics, network theory, information theory, cellular automata, and agent-based modelling. Some examples of policy models are presented and discussed in the context of the previous analysis. Finally we conclude by outlining some of the major pitfalls facing those wishing to use such models for policy evaluation.
Modelling Complexity for Policy: Opportunities and Challenges
Bruce Edmonds, Carlos Gershenson
The Computer Science Department of the Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas (IIMAS) of the Universidad Nacional Autónoma de México (UNAM) has a open call for research professors.
Located in the heart of the UNAM's Ciudad Universitaria, a UNESCO World Heritage site, the IIMAS has been the leader in computer science in Mexico since the first computer in the country was acquired by UNAM. Researchers at UNAM have a privileged position for several reasons. UNAM is the highest ranked spanish speaking higher education institution in the world and produces half of the research in Mexico and is the largest in the continent (300K+ students). Professors in faculties do more teaching than research, while researchers in institutes (such as IIMAS) do more research than teaching (about 48 hours per year, usually to the best graduate students in the country. Groups of more than five students get a teaching assistant). Students in most graduate programs at UNAM receive automatically a scholarship, and there is travel budget for researchers, minimizing the grant writing load. There are several grant calls with high acceptance rates. There are also two postdoctoral fellowship calls per year internal to UNAM. High performing researchers can reach tenure in less than five years.
Requirements for this call are:
- To have a PhD degree in computer science or related areas from a renowned institution.
- To have published high quality research papers in an area related to computer science.
- To have teaching skills at undergraduate and graduate levels.
- To have abilities to direct undergraduate and graduate theses.
- To be able to collaborate in multidisciplinary research projects.
- Updated Curriculum Vitae, including publication list.
- Copy of PhD degree.
- Copy of publications.
- At least two references with email included.
- A work plan which includes research and teaching prospects for the next three years.
Cybernetics and Systems Research (CSR) were developed in the mid-twentieth century, offering the possibility of describing and comparing different phenomena using the same language. The concepts which originated in CSR have spread to practically all disciplines, many now used within the scientific study of complex systems. CSR has the potential to contribute to the solution of relevant problems, but the path towards this goal is not straightforward. This paper summarizes the ideas presented by the authors during a round table in 2012 on the past, present and future of CSR.
The Past, Present and Future of Cybernetics and Systems Research
Carlos Gershenson, Peter Csermely, Peter Erdi, Helena Knyazeva, Alexander Laszlo
If you would like traffic lights to work better, please share and vote for our proposal, "Self-organizing traffic lights" (quick registration required).
The optimal coordination of traffic lights is an extremely complex problem. Moreover, traffic situations change constantly, demanding everchanging solutions. Most traffic lights are fixed. And from the few ones that adapt, they do so very slowly. A recently proposed method allows for the distributed adaptation of traffic lights as fast as the traffic demands change, i.e. at the seconds scale.
In several computer simulations, this method has proven to reduce waiting times by 50%, leading to considerable emission reductions. For example, it is estimated that with one thousand intersections in Mexico City, one million CO2 tons would be saved every year, at a cost of only $25 million.
We have the technology to implement this solution, it is time to do it!