Multi-Agent and Social Stability

Any rule based agent, social or business network that can be seen as equivalent to a rule based system (eg governments, countries, stock-markets, nature (eg ant colonies), companies, pervasive computing, ambient intelligence etc)  has been found to suffer from instability and, in particular  unwanted oscillations, due to interacting rules within networks of autonomous entities. From complex theory it has been found that the problem of  instability cannot be solved analytically; however, it is possible to prevent it.  This IEG research is investigating  novel solution to prevent cyclic instability in computer based networks of coordinating entities using strategies that make use of the topological properties and theories we have developed based on graph theory that we call Interaction Networks (IN).