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90 Socially Intelligent Agentssocial situation, which enable them to act coherently at any moment, in the faceof unexpected and complex situations [10].The idea of creating new communication groups and norms from existingones has been used for quite a long time: for example, by [17] and finding waysof having new institutions emerge is often emphasised (e.g. [14]. Althoughsuccessful, these attempts still require very little creativity from the agents intheir social life, since this ability would require the involvement of a metalanguage.It is obvious that the creativity that is required is not easy to organise. Just oneelement, inspired by the observation of human societies, could help in improvingit. As we saw, humans use old rules to create new ways of communicating byputting them in a new context. It is true in everyday life: some power ortrust relations that are expected to appear in intimate relations can sometimesbe recognised at work. Even without much invention, this overlap betweendifferent fields of relation can eventually engender new institutions: the changeof context forces individuals to explain to the others the meaning of the newrule they try to use and thus create a new relational system [3]. For the moment,software systems are built in a way that makes them very specialised and quiteindependent from each other. More generally, when agents communicate, itis mainly about single topics, rarely dealing about different type of tasks withdifferent type of acquaintances. Maybe making agents more generic wouldbe the first step to enable them to transpose their knowledge of interactionsbetween different contexts so that the result would be more creative.4. ConclusionThe idea of social intelligence can be summarised by two main requirements:the ability to be able to exchange quite complex information to undertake sophisticatedtasks in a reliable way, but also the ability to open the system so thatnew rules of communication can be created with new type of agents when theyare recognised as valuable for these interactions.For the moment these aspects are treated quite independently, and the reasoncertainly lies in the final aims of the research. A technological system that hasto be reliable cannot afford to address the questions of the self-consciousnessof artificial agents: such approaches have not been proven to lead to predictableresults (and one could even anticipate the opposite effect). This is why no onetries to design social intelligence of entities when these are used to solve preciseproblems.Lots of researchers agree on the fact that social intelligence can appear onlyif agents can recognise who is valuable for interaction, and more precisely ifthey are willing to communicate with others even if they receive messages thatare not clear right away. But in that case, one has to enable them to imagine