Self-organizing Networks and GIS Tools Cases of Use for the Study of Trading Cooperation (1400-1800)

The collected essays comprised in this work are the result of the first years of research by the scientists who make up the DynCoopNet work team. In the framework of the EUROCORES Programme as part of the TECT call – The Evolution of Cooperation and Trading – of the European Science Foundation, this was one of five projects approved by this ambitious, interdisciplinary scientific programme. The aim of this programme has been the study of the emergence of and evolutionary processes of exchange and cooperation that occur in nature, including human societies. This programme was based on a series of common ideas. The phenomenon of cooperation essentially has, at various organisational levels, the same roots and raison d’être in all evolutionary processes whether genetic or historic-cultural. Scientists know that these processes emerge in various social contexts or ecosystems, where bacteria or human societies in multinational alliances have been elements involved. However, in most cases, Science is still unable to determine and define cooperation and why it takes place. Despite a relative lack of research, the study of cooperation has had numerous, convergent developments in various fields, such as Economics, Biology and Sociology. It can be said, in practice, that there is a common theory which explains biological and cultural evolution. This theory highlights features of interactions between agents or entities, which have developed even more in relation to economic behaviour than Social and Human Sciences. In this case, our project has been greatly enriched by an excellent bibliographical base. Generally speaking, theories relating to the emergence of cooperation mechanisms have been applied in various fields, from Neuroscience (especially with regards to Cognitive Theory) to Economic History (Game Theory).Within this broad research framework, “Dynamic Cooperation Networks” is an interdisciplinary project with historians, mathematicians, cartographers and GIS engineers from the USA, Portugal, Spain, Germany, the Netherlands, India, Sweden, Mozambique and other countries. This collaborative research team has focused on how cooperation was significant within self-organising networks in the so-called First Global Age (1400-1800).