artificial life

Mario Zarco graduates with honors!

Today Mario Zarco graduated with honors from UNAM’s Master’s degree in Computer Science and Engineering for his work on self-optimization in neural networks.

The title and extended abstract of his thesis are as follows:

􀀈􀀓􀀔􀀕􀀇􀀌􀀐􀀁􀀇􀀈􀀁􀀄􀀕􀀔􀀐􀀂􀀐􀀑􀀔􀀌􀀎􀀌􀀖􀀄􀀆􀀌􀀘􀀏􀀁􀀈􀀏􀀁􀀒􀀈􀀇􀀈􀀓􀀁Estudio de Auto-Optimización en Redes Neuronales de Hopfield
Mario Alberto Zarco López

Las redes neuronales de Hopfield de tiempo discreto, cuya dinámica presentan múltiples atractores de punto fijo, han sido ampliamente usadas en dos casos: (1) memoria asociativa, basada en aprender un conjunto de patrones de entrenamiento los cuales son representados por atractores, y (2) optimización, basado en representar un problema de satisfaccion de restricciones con la topología de la red de tal forma que los atractores sean soluciones de ese problema. En el ultimo caso, la función de energía de la red debe tener la misma forma que la función a ser optimizada, de modo que los m´ınimos de la primera también sean mínimos de la segunda. Aunque se ha demostrado que los atractores de baja energía tienen un amplio domino de atracción, la red usualmente queda atrapada en mínimos locales. Recientemente se demostró que las redes de Hopfield de tiempo-discreto pueden converger en atractores globalmente óptimos ampliando las mejores cuencas de atracción. La red combina el aprendizaje de sus propios atractores usando aprendizaje Hebbiano y la aleatorizacion de los estados neuronales una vez que la red ha reforzada su configuración actual.


The 15th International Conference on the Simulation of Adaptive Behavior (SAB2018)

The 15th International Conference on the Simulation of Adaptive Behavior (SAB2018)
14-17 August 2018, Frankfurt, Germany

* Keynote speakers *

Auke Jan Ijspeert, Swiss Federal Institute of Technology (EPFL), Switzerland
Jan Peters, Darmstadt University of Technology, Germany
Koh Hosoda, Osaka University, Japan
Tom Froese, National Autonomous University of Mexico, Mexico

CFP: 6th Int. Conf. on the Theory and Practice of Natural Computing


Prague, Czech Republic

December 18-20, 2017

Organized by:

Institute of Computer Science
Czech Academy of Sciences

Faculty of Mathematics and Physics
Charles University

Research Group on Mathematical Linguistics (GRLMC)
Rovira i Virgili University


TPNC is a conference series intending to cover the wide spectrum of computational principles, models and techniques inspired by information processing in nature. TPNC 2017 will reserve significant room for young scholars at the beginning of their career and particular focus will be put on methodology. The conference aims at attracting contributions to nature-inspired models of computation, synthesizing nature by means of computation, nature-inspired materials, and information processing in nature.


TPNC 2017 will take place in Prague, whose historic centre is UNESCO World Heritage Site and which is home to famous attractions like the Prague Castle, the Charles Bridge, etc. The venue will be:

Faculty of Mathematics and Physics
Charles University
Ke Karlovu 3
121 16 Praha 2


EON Workshop

Tom Froese and Jorge Campos Bravo will participate in the following workshop at the end of their stay Earth-Life Science Institute in Tokyo this summer.

EON Workshop: Sensors, Motors and Behaviour at the Origin of Life

EON will hold an international workshop at ELSI on July 26-28, 2017.

Organizers: Matthew Egbert 1  ,   Martin Hanczyc 2
Lecturer, University of Auckland, NZ                    
Principal Investigator, Centre for Integrative Biology, University of Trento, Italy

Venue: ELSI Hall in ELSI-1 bldg., Tokyo Institute of Technology, Tokyo, Japan.

Title: Sensors, Motors and Behaviour at the Origin of Life


More information can be found on the EON workshop website.

CFP: ECAL 2017


“Artificial Life and the scientific method: Create, play, experiment, discover”

The ECAL 2017 Organizing Committee would like to cordially invite you to submit your work to the 14th European Conference on Artificial Life (ECAL 2017), taking place on the LyonTech Campus in Lyon, France, 4-8 September 2017.

*  I M P O R T A N T   D A T E S  *

Paper submission deadline:  9th April, 2017
Notification of Acceptance:  12th May, 2017
Camera-Ready due:                 9th June, 2017
Main Conference convenes:  4-8 September, 2017

Contact email for queries:



2017 IEEE Symposium on Artificial Life

as part of

2017 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2017)
Hilton Hawaiian Village Resort, Honolulu, Hawaii
Nov. 27-Dec. 1, 2017

Call for papers

Artificial Life is the study of the simulation and synthesis of living systems. In particular, this science of generalized living and life-like systems provides engineering with billions of years of design expertise to learn from and exploit through the example of the evolution of organic life on earth. Increased understanding of the massively successful design diversity, complexity, and adaptability of life is rapidly making inroads into all areas of engineering and the Sciences of the Artificial. Numerous applications of ideas from nature and their generalizations from life-as-we-know-it to life-as-it-could-be continually find their way into engineering and science.

IEEE ALIFE 2017 brings together researchers working on the emerging areas of Artificial Life and Complex Adaptive Systems, aiming to understand and synthesize life-like systems and applying bio-inspired synthetic methods to other science/engineering disciplines, including Biology, Robotics, Social Sciences, among others.