ººººººººZEROFOUNDATION

.A base teórica para este tipo de experiência assenta, normalmente, em complexos sistemas naturais, tais como uma colónia de formigas. O objectivo da experiência é saber como poderá o processamento de informação desenvolver-se num sistema descentralizado em permanente evolução.A cada autómato é dado o mesmo estado inicial e a noção de que no espaço e tempo da sua activação existem autómatos vizinhos. Não é fornecida nenhuma programação específica para o seu comportamento, sendo instalado um programa básico de aleatoriedade gráfica.

Observou-se então que num primeiro nível os autómatos se comportam como numa linha de montagem tradicional, cada um observando as tarefas dos outros e entrando na rotina ordenadamente.

No nível 2 decidiu colocar-se novamente os autómatos num estado inicial semelhante, só que neste caso emparelhados, cada par estava alinhado para cumprir a mesma função; dois autómatos executam operações gráficas, outros dois apenas apoiam os autómatos “gráficos”. Nota-se aqui o surgimento de uma cisão entre as regiões de alta e baixa densidade.

O terceiro nível simulou a escala global e estabeleceu a possibilidade de coordenação total entre os autómatos já que estes conseguiram interagir globalmente entre si baseando-se apenas na sua prévia experiência a nível local.

No quarto nível incluiremos modelos mais elaborados usando autómatos de dimensões diversas, procurando modelar sistemas naturais de complexidade superior, orgânicos e inorgânicos, de que, por exemplo, o sistema nervoso e o sistema económico são exemplos respectivos.

Every object, organic and inorganic, owns both internal and external aspects of itself. In the perspective of himself man experiences the only view that he is allowed to see: himself. The ways to everything else are closed to his eyes except if simulation is employed.

In rnd OUTPUT we have focused our interest in the construction of a decentralized network of automata for information processing. The information processing in decentralized systems is very different from the one used in classical systems in which all information gets computed at a centralized core. In a decentralized system the information processing occurs both at local and global level: it uses a dynamic process pattern.

The theoretical base for this type of experiment usually has its foundations in complex natural systems; such has a colony of ants. The objective of the experiment is to know how the information processing would occur in a decentralized system in permanent evolution.To each automaton is given the same initial state and the notion that in the space and time period of its activation there are neighbor automata. There is no specific program to control its behavior – the program installed comprises of a basic generator of random graphics.

In the first level it was observed that the automata behave themselves has if they were in a traditional assembly line: each automaton observes the other automata and starts its own routine were the others left off.

At level 2 the automata were once again placed in the same initial state, but with one variation: they were in pairs; each pair would perform the same function. Two automatons execute the random output of graphics and the other two act as supporting team. It was noticed that a scission appeared between high and low density regions.

The third level simulated universal scale and established the possibility of total coordination between the automata since they were able to interact globally among themselves, “learning” from their previous level 2 experience at local level.

In the fourth level we will include more elaborate models using different sized automata to try and model natural systems of superior complexity, both organic and inorganic, that, for example, the nervous system and the economic system are examples.