## Abstract

The paper is a description of the software propagation architecture of the computer simulation of the challenge propagation model codenamed

"The global brain can be defined as the distributed intelligence emerging from the network of all people and machines on this planet, as connected via the Internet. The present paper proposes the foundations for the mathematical model of the self-organization of such a network towards increasing intelligence. [...] The intention of the simulation is to explore the space of parameters and propagation mechanisms in order to find the configurations that maximize this collective benefit extraction, which we define as the distributed intelligence of the network".

The working paper defines special requirements for the computer simulation, the software architecture in terms of objects and processes, technological space used for the implementation and some open / further questions.

[1] Heylighen, F. (2012). Challenge propagation: a new paradigm for modeling distributed intelligence. GBI working paper 2012-01.

[2] Heylighen, F., Busseniers, E., Veitas, V., Vidal, C., and Weinbaum, D. (2012). Towards a mathematical model of the global brain: architecture, components, and specications. GBI Working Paper 2012-05

*Challprop*. The software architecture is based on the conceptual model of self-organization outlined in [1] and the mathematical model developed in [2]. The purposes of the model as defined in [2] are:"The global brain can be defined as the distributed intelligence emerging from the network of all people and machines on this planet, as connected via the Internet. The present paper proposes the foundations for the mathematical model of the self-organization of such a network towards increasing intelligence. [...] The intention of the simulation is to explore the space of parameters and propagation mechanisms in order to find the configurations that maximize this collective benefit extraction, which we define as the distributed intelligence of the network".

The working paper defines special requirements for the computer simulation, the software architecture in terms of objects and processes, technological space used for the implementation and some open / further questions.

[1] Heylighen, F. (2012). Challenge propagation: a new paradigm for modeling distributed intelligence. GBI working paper 2012-01.

[2] Heylighen, F., Busseniers, E., Veitas, V., Vidal, C., and Weinbaum, D. (2012). Towards a mathematical model of the global brain: architecture, components, and specications. GBI Working Paper 2012-05

Original language | English |
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Publisher | Unknown |

Number of pages | 15 |

Volume | GBI Working Papers |

Publication status | Published - 2012 |