Organizational Survival and the Emergence of Collaboration Networks: a Multi-Agent Approach

TL;DRAbstract

The present work deals with interactions between firms. Literature that inspired our work comes from organizational ecologists, evolutionary economics and Agent-Based Computational Economics. Our general belief is that organizations are adaptive at different levels of analysis: individually, or as a group. We dedicate a special attention to the network formation and regard networks as new forms of organizations. In order to understand these interactions and the different mechanisms of adaptation, that include learning and evolution, two studies have been developed in this work: CASOS and NetOrg. Our main objective with CASOS - Cellular Automata System for Organizational Survival - is to analyse the effects of a set of parameters (organizational density, size and age) in the founding and in the mortality of organizations. The best combination of these parameters will produce the best solution for the simulation. The cellular automata approach is embedded with a Genetic Algorithm that ca

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