IEEE Symposium on Artificial Life (IEEE ALIFE)

December 6-9, 2019, Xiamen, China.

IEEE ALIFE 2019 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.

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.

Best Paper/Best Student Paper Awards will be sponsored by Wolfram Research, Inc.

Important dates

Paper Submissions: July 10, 2019  
Notification to Authors: Sep. 1, 2019
Final Submission: Oct. 1, 2019
Early Registration: Oct. 1, 2019


Accepted papers after peer-review will be published in the IEEE SSCI conference proceedings. Submissions will be made via the main IEEE SSCI website.


We invite submissions of high-quality contributions on a wide variety of topics relevant to the wide research areas of Artificial Life. Some sample topics of interest include, but are not limited to, the following aspects of Artificial Life:

  • Systems Biology, Astrobiology, Origins of Replicators and Life 
  • Major Evolutionary Transitions 
  • Applications in Nanotechnology, Compilable Matter, or Medicine 
  • Genetic Regulatory Systems 
  • Self-reproduction, Self-Repair, and Morphogenesis 
  • Human-Robot Interaction 
  • Robotics & Embodiment: Minimal, Adaptive, Ontogenetic and/or Social Robotics
  • Constructive Dynamical Systems and Complexity 
  • Evolvability, Heritability, and Multicellularity 
  • Information-Theoretic Methods 
  • Sensor and Actuator Evolution and Adaptation 
  • Wet and Dry Artificial Life (e.g. artificial cells; non-carbon based life) 
  • Non-Traditional Computational Media 
  • Emergence and Complexity 
  • Multiscale Robustness and Plasticity 
  • Phenotypic Plasticity & Adaptability in Scalable, Robust Growing Systems 
  • Predictive Methods for Complex Adaptive Systems and Life-like Systems 
  • Automata Networks and Cellular Automata 
  • Ethics and Philosophy of Artificial Life 
  • Co-evolution and Symbiogenesis 
  • Simulation and Visualization Tools for Artificial Life 
  • Replicator and Interaction Dynamics 
  • Network Theory in Biology and Artificial Life 
  • Synchronization and Biological Clocks 
  • Methods and Applications of Evolutionary Developmental Systems (e.g. developmental genetic-regulatory networks (DGRNs), multicellularity) 
  • Games and Generalized Biology 
  • Self-organization, Swarms and Multicellular Systems 
  • Emergence of Signaling and Communication 

Organizing Committee

Hiroki Sayama – Binghamton University, USA (chair) –
Chrystopher Nehaniv – University of Waterloo, Canada
Joseph Lizier – The University of Sydney, Australia
Stefano Nichele – Oslo Metropolitan University, Norway
Terry Bossomaier – Charles Sturt University, Australia

For more information, visit



Call for Papers, Posters and Contributed Symposia

The conference EuroCogSci 2019 aims at providing a platform for discussing the most recent developments in Cognitive Science. It will feature contributed papers, symposia, and posters covering all subfields of cognitive science, bringing together a large number of experts from Europe and overseas.

Venue: Ruhr-Universität Bochum
Start: Monday, September 2nd, 2019
End: Wednesday, September 4th, 2019

Keynote Speakers
Lawrence Barsalou (University of Glasgow), Julia Fischer (Universität Göttingen), Patrick Haggard (UCL, London), Asifa Majid (Max Planck Institute for Psycholinguistics), Brian McLaughlin (Rutgers University), Natalie Sebanz (CEU, Hungary), John Spencer (University of East Anglia)

Invited Symposium I: Situated Robotics and its Applications Minoru Asada (Osaka University) and Etienne Burdet (Imperial College London)

Invited Symposium II: Evolutionary Robotics Dario Floreano (EPFL) and Partica A. Vargas (Heriot-Watt University)

Invited Symposium III: Theory of Mind and Its Developments Ágnes M. Kovács (CEU), Beate Priewasser (Salzburg), and Albert Newen (Ruhr-Universität Bochum)

Local organizing team
Albert Newen (main organizer), Sabrina Coninx, Onur Güntürkün, Dorothea Kolossa, Beate Krickel, Jonas Rose, Tobias Schlicht, Gregor Schöner, Alfredo Vernazzani, Markus Werning, Pascale Willemsen

[EUCog News] 11 PhD / 12 Postdoc positions, Science of Intelligence research, Berlin

Science of Intelligence Berlin – Cluster of Excellence

11 PhD/ 12 Postdoc positions; with principal investigators at six participating institutions.

Cross interdisciplinary research in artificial intelligence, machine learning, control, robotics, computer vision, behavioral psychology, cognitive science, psychology, educational science, neuroscience, and philosophy.

Starting dates:  Summer/Fall 2019

Duration of postion: 3 years

Salary level: TV-L 13, 100% for all positions

What are the principles of intelligence, shared by all forms of intelligence, no matter whether artificial or biological, whether robot, computer program, human, or animal? And how can we apply these principles to create intelligent technology? Answering these questions – in an ethically responsible way – is the central scientific objective of the new Cluster of Excellence Science of Intelligence:

Researchers from a large number of analytic and synthetic disciplines – artificial intelligence, machine learning, control, robotics, computer vision, behavioral biology, cognitive science, psychology, educational science, neuroscience, and philosophy – join forces to create a multi-disciplinary research program across universities and research institutes in Berlin. Our approach is driven by the insight that any method, concept, and theory must demonstrate its merits by contributing to the intelligent behavior of a synthetic artifact, such as a robot or a computer program. These artifacts represent the shared “language” across disciplines, enabling the validation, combination, transfer, and extension of research results. Thus we expect to attain cohesion among disciplines, which currently produce their own theories and empirical findings about aspects of intelligence.

Interdisciplinary research projects have been defined which combine analytic and synthetic research and which address key aspects of individual, social, and collective intelligence. In addition the Science of Intelligence graduate program promotes the cross-disciplinary education of young scientists on a Master, PhD, and postdoctoral level. All PhD students associated with the cluster are expected to join the Science of Intelligence doctoral program: (more…)

10th Anniversary of the Laboratorio de Robótica Cognitiva, UAEM


The Laboratorio de Robótica Cognitiva of the Universidad Autónoma del Estado de Morelos, celebrates its 10th Anniversaty with a cycle of conferences about Artificial Intelligence and Cognitive Sciences.
Consult the entire program at:

21-22 February 2019
Auditorio del CIDC-UAEM
Universidad Autónoma del Estado de Morelos
Av. Universidad 1001. Col. Chamilpa
Cuernavaca, Morelos. C. P. 62209– M E X I C O


Contact & More Information

Special Issue on “Computational Models of Affordance for Robotics”. CALL FOR CONTRIBUTIONS

Gibson’s theory of affordance, in its adherence to bottom-up direct perception, is antithetical to the top-down inferential models often proposed by modern robotics research purporting to tackle it. Such research assumes internal representation to be sacrosanct, but given current developments, to what extent can this assumption now be re-examined? The recently proposed sensorimotor contingency theory furthers the theoretical argument that internal representation is unnecessary, and its proof- of-concept application in robotics as well as the subsequent explosion in deep learning methodology sheds new light on the possibility of equipping robots with the capacity for directly perceiving their environments by exploiting correlated changes in their sensory inputs triggered by executing specific motor programs. This re-examination of direct perception is only one of several issues warranting scrutiny in current robotic affordance research.

The aim of this special issue is to highlight the relevance of Gibson’s notion of affordance for developmental and cognitive robotics. The issue is focused on contributions from the current panorama of robotics with an emphasis on theories from the ecological, cognitive, developmental and sensorimotor accounts.