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FuturICT project wants science to catch up with the speed at which new problems and opportunities are arising in our changing world as consequences of globalization, technological, demographic and environmental change, and make a contribution to strengthening our societies' adaptiveness, resilience, and sustainability. The FuturICT project will do so by developing new scientific approaches and combining these with the best established methods in areas like multi-scale computer modeling, social supercomputing, large-scale data mining and participatory platforms. To learn more about the FuturICT, download overview documents below or see more here.Download: FuturICT Project Summary Download: FuturICT Outline

Albert-László Barabási Albert-László Barabási (born March 30, 1967) is a Hungarian-American physicist born in Transylvania, Romania, best known for his work in the research of network theory. He is the former Emil T. Hofmann professor at the University of Notre Dame and current Distinguished Professor and Director of Northeastern University's Center for Complex Network Research (CCNR) and an associate member of the Center of Cancer Systems Biology (CCSB) at the Dana Farber Cancer Institute, Harvard University. Randall D. Beer Dr. Paul Williams Research Interests My primary research interest is in understanding how coordinated behavior arises from the dynamical interaction of an animal's nervous system, its body and its environment.

Lincoln Laboratory: Publications: Current Journal Lincoln Laboratory Journal About the Journal The Lincoln Laboratory Journal showcases some of the Laboratory's most innovative and high-impact work, in fields ranging from air traffic control to bioagent sensing to parallel computing. The Journal consists of in-depth feature articles written by Laboratory staff members as well as shorter "Lab Notes" written by the Journal editors. Volume 20, Number 1 - 2013 I485/I585: Biologically Inspired Computing Biological organisms cope with the demands of their environments using solutions quite unlike the traditional human-engineered approaches to problem solving. Biological systems tend to be adaptive, reactive, and distributed. Bio-inspired computing is a field devoted to tackling complex problems using computational methods modeled after design principles encountered in nature. This course is strongly grounded on the foundations of complex systems and theoretical biology. It aims at a deep understanding of the distributed architectures of natural complex systems, and how those can be used to produce informatics tools with enhanced robustness, scalability, flexibility and which can interface more effectively with humans. It is a multi-disciplinary field strongly based on biology, complexity, computer science, informatics, cognitive science, robotics, and cybernetics.

Twitter: immediacy and collective intelligence When working on a Wikipedia entry just last week, I was confronted once again with the helplessness one might experience when the computer does not work properly or when the internet connection is down. Upon typing in the Wikipedia URL, nothing happened. I found myself staring at the blank page before me. What is one to do? Devert2012 As a goodie: a bibtex file that reference all my publications. A Study on Scalable Representations for Evolutionary Optimization of Ground Structures Accepted for publication in Evolutionary Computation, to appear. Robustness and the Halting Problem for Multi-Cellular Artificial Ontogeny Community of Wikipedia The Wikipedia community is the community of contributors to the online encyclopedia Wikipedia. Individual contributors are known as "Wikipedians". The overwhelming majority of Wikipedians are volunteers.

GECCO 2011 Best Paper Award Winners Ant Colony Optimization and Swarm Intelligence An Incremental ACOR with Local Search for Continuous Optimization Problems Tianjun Liao (IRIDIA, CoDE, Universite Libre de Bruxelles), Marco Montes de Oca (IRIDIA, CoDE, Universite Libre de Bruxelles), Dogan Aydin (Ege University), Thomas Stützle (IRIDIA, CoDE, Universite Libre de Bruxelles), Marco Dorigo (IRIDIA, CoDE, Universite Libre de Bruxelles) Artificial Life/Robotics/Evolvable Hardware Spontaneous Evolution of Structural Modularity in Robot Neural Network Controllers Josh Bongard (University of Vermont)

Toward a Civilization of Collective Intelligence "Toward a Civilization of Collective Intelligence" identifies the most important changes that have happened in our society. The slides introduce the necessity of a new language that can set a link between the machine process of cyberspace and the human collective intelligence, which is dynamic, in constant change and made in different languages, from different approaches. We need a language that represent the essence of Collective Intelligence as a Virtual World, understanding this term not only as a space where we can interact as avatars but as a global space that is formed by the human actions, their objects and interaction. 09 Ci CivilizationView more documents from gloriagdiago.

An Evolutionary Architecture - John Frazer Electronic version of An Evolutionary Architecture An Evolutionary Architecture was published in January 1995 to coincide with an exhibition of the same name at the Architectural Association. It concentrates on the work of Diploma Unit 11 run by John and Julia Frazer (with Pete Silver and Guy Westbrook) between 1989 and 1996, but includes formative work by the author dating back to his diploma prize-winning project at the AA in 1969 and related research work at Cambridge University. The book investigates the fundamental form-generating processes in architecture, considering architecture as a form of artificial life, and proposing a genetic representation in a form of DNA-like code-script, which can then be subject to developmental and evolutionary processes in response to the user and the environment. The aim of an evolutionary architecture is to achieve in the built environment the symbiotic behaviour and metabolic balance found in the natural environment.