%Original file available from http://www.cs.odu.edu/~jbollen/bibliographies/bibtex/colint.bib
%Last update: Tuesday 15 July 2003
%Current number of entries: 4

@BOOK{global:russell1983,
title = {The Global brain - Speculations on the Evolutionary Leap to Planetary Consciousness},
author = {Peter Russell},
year = 1983,
publisher = {J. P. Turcher},
address = {Los Angeles},
}

@ARTICLE{global:mayerkress1995,
author = {Gottfried Mayer-Kress},
title = {The global brain as an emergent structure from the worldwide computing network, and its implications for modeling.},
journal = {The Information Society},
year = 1995,
volume = 11,
number=1,
pages = {1--27},
}

@ARTICLE{formal:szuba2001,
author = {T. Szuba},
title = {A formal definition of the phenomenon of collective intelligence and its IQ measure},
year = 2001,
journal = {Future Generation Computer Systems},
volume = 17,
number = 4,
pages = {489--500},
abstract = {This paper presents a formalization of collective intelligence  (CI). A molecular, quasi-chaotic model of computations allows us to model CI in social structures, and to define its measure (IQS). This methodology works for bacterial colonies and social insects as well as for human social structures. With the CI theory some patterns of human behavior receive formal justification, others can be explained as IQS optimization. The CI formalization assumes that it is a property of a social structure, initializing when individuals interact, and as a result, acquiring the ability to solve new or more complex problems. CI amplifies if the structure improves synergy, which further increases the spectrum and complexity of the problems, which can be solved together. The formalization covers areas where CI results in physical synergy and mental/logical cooperation.},
}


@ARTICLE{making:fleissner1998,
author = {Peter Fleissner and Wolfgang Hofkirchner},
title = {The making of the information society: driving forces, `Leitbilder' and the imperative for survival},
year = 1998,
journal = {Biosystems},
volume = 46,
number = 1,
month = {April},
pages = {201--207},
abstract = {
In the field of science-technology-society, there are three one-sided approaches to analyzing the spread of the Internet: technology-push, economy-pull, and community-pull. Information science, when dealing with the transformation of our societies, will have to cover all of them and even try to find out missing links. We propose adding the analysis of metaphors accompanying the introduction and diffusion of new technologies, and evaluating metaphors and technologies using the criterion of how well they are shaped to meet global challenges. We conclude that contrary to ideological promises the capability of society to generate survival-relevant information will not be improved by establishing the so-called data highway per se, unless additional requirements are met which refer to higher information levels of knowledge and wisdom.},
}

@INPROCEEDINGS{proble:redko2002,
title = {Problem of the global brain and multi-agent modeling},
author = {V. G. Redko},
year = 2002,
booktitle = {2002 IEEE International Conference on Artificial Intelligence Systems},
publisher = {{IEEE}},
address = {Divnomorskoe, Russia},
abstract = {The report characterizes a problem of the global brain and approaches to global brain researches on the basis of multi-agent modeling. The "Global Brain" is defined as a metaphor for the emerging collectively intelligent network formed by the people of this planet together with the computers, knowledge bases, and communication links that connect them together. This network is an immensely complex, self-organizing system that not only processes information, but increasingly can be seen to play the role of a brain: making decisions, solving problems, learning new connections and discovering new ideas.},
}