Authors are invited to submit an abstract and paper for the Complex Adaptive Systems Conference to be held November 13-15, 2013, at the Baltimore Marriott Inner Harbor at Camden Yards in Baltimore, Maryland. This year's theme is "Emerging Technologies for Evolving Systems: Socio-technical, Cyber and Big Data". Abstracts and papers should be submitted in one of the following topical areas.
UPCOMING DEADLINES Regular Paper Submission: March 13, 2013 Regular Paper Authors Notification: May 15, 2013 Regular Paper Final Submission and Registration: June 5, 2013 Considered a subfield of computational intelligence focused on combinatorial optimisation problems, evolutionary computation is associated with systems that use computational models of evolutionary processes as the key elements in design and implementation, i.e. computational techniques which are based to some degree on the evolution of biological life in the natural world. A number of evolutionary computational models have been proposed, including evolutionary algorithms, genetic algorithms, the evolution strategy, evolutionary programming, swarm intelligence and artificial life.
September 20 - 22, 2013 Vilamoura, Algarve, Portugal
This Ph.D. School is intended for postgraduate students primarily from European countries (but students from other countries are also invited to apply) and offers four coherent lecture courses, taught by experts in each field, on:
I. Foundations of Complexity Science
Steven Bishop (London) Tassos Bountis (Patras) David K. Campbell (Boston) Gregoire Nicolis (Brussels)
II. Complex Networks: Theory and Applications
Panos Argyrakis (Thessaloniki) Barouch Barzel (Boston) Jeff Johnson (London)
Rosaria Conte (Rome) Dirk Helbing (Zurich) Klaus Mainzer (Munich)
The School is dedicated to the memory of Professor John S. Nicolis A special poster competition will take place and a "John S. Nicolis prize" will be awarded to the student with the best poster presentation.
Jeremy Heimans visits the RSA to share his innovative model of “movement entrepreneurship”, and to show how individuals can work more effectively with organisations and progressive companies to help mobilise large-scale, purposeful action.
The 2013 edition of the Self-Adaptive and Self-Organizing systems conference (SASO) will be held in Philadelphia, PA, USA, and hosted by Drexel University, in the week of September 9-13, 2013.
The aim of the SASO conference series is to provide a forum for the foundations of a principled approach to engineering systems, networks and services based on self-adaptation and self-organization. To this end, the meeting aims to attract participants with different backgrounds, to foster cross-pollination between research fields, and to expose and discuss innovative theories, frameworks, methodologies, tools, and applications. The complexity of current and emerging computing systems has led the software engineering, distributed systems and systems management communities to look for inspiration in diverse fields (e.g., complex systems, control theory, artificial intelligence, sociology, and biology) to find new ways of designing and managing networks, systems and services. In this endeavor, self-organization and self-adaptation have emerged as two promising interrelated approaches.
The seventh edition of the SASO conference embraces the inter-disciplinarity and the scientific, empirical and application dimensions of self-* systems, and welcomes novel results on both self-adaptive and self-organizing systems research. It seeks to emphasize the interconnection of basic research between and within fields, and the increasing protrusion of self-* systems into the human sphere, evaluating their impact on society, environmental sustainability, commerce, living/working spaces and critical infrastructure. Contributions must present novel theoretical or experimental results, or practical approaches and experiences in building or deploying real-world systems, applications, tools, frameworks, etc. Contributions contrasting different approaches for engineering a given family of systems, or demonstrating the applicability of a certain approach for different systems, are equally encouraged.
Scientists from the University of Lincoln and Newcastle University have created a computerised system which allows for autonomous navigation of mobile robots based on the locust’s unique visual system.
The work could provide the blueprint for the development of highly accurate vehicle collision sensors, surveillance technology and even aid video game programming according to the research published today.
Locusts have a distinctive way of processing information through electrical and chemical signals, giving them an extremely fast and accurate warning system for impending collisions.
The insect has incredibly powerful data processing systems built into its biology, which can in theory be recreated in robotics.