12th European Conference on Artificial Life

September 2-6 2013, Taormina, Italy

Designing, Programming, Evolving, Simulation and Synthesis of Natural and Artificial Living Systems
"What is Life?", Erwin Schrödinger.

ECAL2013 will showcase a wide range of topics in Artificial Life including, but not restricted to: Evolutionary Computation, Quantum Computation, Molecular Computation, Neural Computation, Artificial Life, Swarm Intelligence, Artificial Ant Systems, Artificial Immune Systems, Self-Organizing Systems, Emergent Behaviors, and Applications to Real-World Problems.

  • Adaptation - Self-Adaptation
  • Adaptive Material Technologies
  • Ant Algorithms
  • Anticipatory Medical and Cellular Devices
  • Applications and Experiences with Self-Systems
  • Applications in Nanotechnology, Compilable Matter, or Medicine
  • Applications in Sociology, Economics and Behavioral Sciences
  • Applications with Memristors
  • Artificial Cells
  • Artificial Immune Systems
  • Assisted Ambient Intelligence
  • Astrobiology, Origins of Replicators and Life
  • Automata Networks and Cellular Automata
  • Automated Genomic Engineering
  • Autonomous Robotic Systems
  • Basic Working Principles for the Syntethic Life
  • Bio-Inspired Hardware Design and Manufacturing
  • Bio-Inspired Intelligent Agents
  • Bio-Inspired Technology
  • Bio-Inspired Wireless Sensor Networks
  • Biocomputing
  • Bioinspired Robotics
  • Biological Control
  • Biologically Inspired Design
  • Biologically Inspired engineering
  • Biologically, Socially, and Physically Inspired Self-Systems
  • Biomedical Nanotechnology
  • Biomimetic Microsystems
  • Carbon Nanostructures
  • Cellular Automata
  • Cellular Neural Networks
  • Classifier Systems
  • Co-Evolution
  • Co-Evolution and Symbiogenesis
  • Computational Synthetic Biology
  • Computational Systems Biology
  • Computational Tools for Self-assembly
  • Constraint Handling
  • Constructive Dynamical Systems and Complexity
  • Control of Emergent Properties in Self-Systems
  • Design and Engineering for Self-Systems (Self-Organization, Self-Adaptation, Self-Management, Self-Monitoring, Self-Tuning, Self-Repair, Self-Configuration, etc.)
  • Developmental Genetic-Regulatory Networks
  • DNA Computing
  • Drift and Shift in Data Streams
  • Dynamic Environments - Dynamic Optimisation
  • Embedded Soft Computing Diagnostics and Prognostics Algorithms
  • Emergence and Complexity
  • Emergence of Signaling and Communication
  • Estimation of Distribution Algorithms
  • Ethics and Philosophy of Artificial Life
  • Evolution Dynamics
  • Evolution Strategies
  • Evolutionary Algorithms Specification
  • Evolutionary Phase Transitions
  • Evolutionary Programming
  • Evolutionary Robotics
  • Evolvability, Heritability, and Multicellularity
  • Evolvable Hardware
  • Evolving and Adaptive Intelligent Systems
  • Evolving Decision Systems
  • Evolving Fuzzy Clustering Methods
  • Evolving in Dynamic Environments
  • Evolving Intelligent Systems for Time Series Prediction
  • Evolving Intelligent Systems State Monitoring and Prognostics
  • Evolving Neuro-Fuzzy Systems
  • Evolving Regression-based Classifiers
  • Fitness Landscape
  • Fuzzy Systems
  • Games and Generalized Biology
  • Genetic Algorithms
  • Genetic Programming
  • Genetic Regulatory Systems
  • Heuristics & Metaheuristics
  • Human-Robot Interaction
  • Hybridization
  • Information-Theoretic Methods in Life-like Systems
  • Integrated Synthetic Systems
  • Interactive Evolution
  • Living Materials
  • Management and Control of Self-Systems
  • Mathematical Models
  • Memetic algorithms
  • Methods and Applications of Evolutionary Developmental Systems
  • Minimal Cell
  • Molecular Motors, Self-assembled Computer Circuit and System Architectures
  • Multi-Agent Systems
  • Multi-Objective Optimization
  • Multicellularity
  • Multiscale Robustness and Plasticity
  • Nature-Inspired Engineering
  • Nature-Inspired Machine Learning
  • Network Theory in Biology and Artificial Life
  • Neural Networks with Evolving Structure
  • Neural Networks
  • New Adaptive and Evolving Learning Methods
  • Non-Carbon based Life
  • Non-Stationary Time Series Prediction with Bio-Inspired Algorithms
  • Non-Traditional Computational Media
  • Parallel Evolutionary Algorithms
  • Parameter Tuning
  • Particle Swarms
  • Performance Analysis
  • Performance Measures Local/Global
  • Phenotypic Plasticity and Adaptability in Scalable, Robust Growing Systems
  • Philosophical Aspects
  • Predictive Methods for Complex Adaptive Systems
  • Predictive Methods for Complex Adaptive Systems and Life-like Systems
  • Principles and Theory of Self-Assembly
  • Programmable Nanomaterials
  • Quantum Computing
  • Re-Constructing and Re-Programming Life
  • Replicator and Interaction Dynamics
  • Representations
  • Robotic and Embodiment: Minimal, Adaptive, Ontogenetic and/or Social Robotics
  • Robustness and Dependability of Self-Systems
  • Self-Assembled DNA Nanostructures
  • Self-Assembled Protein Nanostructures
  • Self-Assembled Surface Chemistry
  • Self-Assembly Across Scales
  • Self-Monitoring Evolving Systems
  • Self-Organization, Swarms and Multicellular Systems
  • Self-Organizing Systems
  • Self-reproduction, Self-Repair, and Morphogenesis
  • Sensor and Actuator Evolution and Adaptation
  • Simulation and Visualization Tools for Artificial Life
  • Smart Evolving Sensors
  • Stability, Robustness, Unlearning Effects
  • Structure Flexibility and Robustness in Evolving Systems
  • Swarm Intelligence
  • Synchronization and Biological Clocks
  • Synthetic Biology
  • Systems Chemistry
  • Theories, Frameworks and Methods for Self-Systems
  • Theory of Evolutionary Computing
  • Top-down Meets Bottom-up
  • Wet and Dry Artificial Life

PAPER PRESENTATION

Following the now well-established tradition of ECAL conferences, all accepted papers will be presented during small poster sessions of about 16 papers. Each session will contain papers from a wide variety of topics, and will begin by a plenary quick overview of all papers in that session by a major researcher in the field. Past experiences have shown that such presentation format led to more interactions between participants and to a deeper understanding of the papers. All accepted papers will be published in the MIT Press Proceedings.

PAPER SUBMISSION

Authors are encouraged to explain how their work sheds light on the fundamental properties of living systems and makes progress on the important open questions of artificial life, synthetic biology, and complex systems.
There are two options for submission: either full paper or abstract. Note that the format is exactly the same for both options. The only difference resides in the number of pages and type of contents:

  1. Full papers have an 8-page maximum length and should report on new, unpublished work
  2. Abstracts are limited to a 2-page length.

All submissions will be subject to peer review, and all accepted submissions will be allocated either an oral presentation slot or a poster slot with no distinction being made between the two submission options (full paper or abstract).

Accepted full-paper and abstract, which was submitted to the main conference (not to the workshops, which are independently managed), will be published by MIT Press in a single online open-access proceedings volume.

The top 8 accepted publications will have the opportunity to publish a revised and expanded version of their conference paper in the Artificial Life journal.