IEEE CEC 2005 - Special Session on

Artificial Life

at the 2005 IEEE Congress on Evolutionary Computation
Edinburgh, Scotland - 2-5 September 2005


Scope and Theme:

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.

This special session will stress the development of our understanding of fundamental principles from biological systems underlying this success, and promote the development of a scientific and professional community that seeks to systematically study and apply them. Artificial Life promotes a unified view of biology and technological design by identifying their common reliance on (1) adaptability to changing environments via interaction and (2) evolutionary methods. Organic evolution has achieved the only known solutions to the tremendous problems of scalability, robustness and adaptability in systems that may consist of astronomical numbers of elements (with even more interactions and dependencies between them, such as for cells in the body of a multicellular plant or animal, or for neurons in the brain).

These (bottom-up) solutions achieved by biology are, moreover, grounded in particular physical and system constraints, coordinate robust stability through different levels of hierarchical organization, and are capable of growing, developing, and adapting dynamically in a complex environment with changing requirements. Such problems represent a complexity ceiling for traditional human engineering methods that fail to scale up to today's development and maintenance problems in software, telecommunications and control. Particular areas of current explosive growth in scientific understanding relevant to the success we see in biological systems include the study of interaction, development, symbiosis (and its evolutionary extreme, symbiogenesis), embodiment, epigenetics, and developmental robustness and plasticity, higher-level units of individuality (with heritability of fitness), evolutionary developmental morphogenesis with genetic regulatory control, and massively parallel and distributed multicellular networks with special connectivity characteristics. Current practice in robotics and evolutionary computation is benefitting from ever deeper understanding of these principles and mechanisms underlying the success of life-on-earth, as generalized to other domains by Artificial Life. Target topics in this special session will include, but not necessarily be be limited to, the following:

Focus Topics

Scientific Program Committee Members

Submissions and Important Dates

Submissions Deadline: 25 April 2005
Notification to Authors: 19 May 2005
Camera-Ready Copies Due: 11 June 2005

All submissions will be peer-reviewed according to IEEE standards. Submissions should be in IEEE two-column format up to 6 pages according to instructions on IEEE CEC website giving format and uploading requirement details. (Authors should indicate this special session when uploading their submission.)

Organized with the support of:
The IEEE Working Group on Artificial Life and Complex Adaptive Systems
The U.K. EPSRC Network on Evolvability in Biological and Software Systems

Special Session Homepage and Updates:

Special Session Organizer:

Prof. Dr. Chrystopher L. Nehaniv
Research Professor (Mathematical & Evolutionary Computer Sciences)
Algorithms & Adaptive Systems Research Groups
School of Computer Science, University of Hertfordshire
College Lane, Hatfield, Hertfordshire AL10 9AB
United Kingdom

Last update 20 April 2005