Social Coordination Systems with Ontology and Protocol Heterogeneity

We tackle the problem of semantic heterogeneity between participants in social coordination systems for multi-agent interactions, focusing on electronic institutions. We propose an ontology aligning mechanism for systems organised in a centralised way, in which agents match their own ontology and protocol against central ones while executing the interaction. We base on the Interaction-Situated Semantic Alignment technique, considering meaning to be dependent on the context of interaction. At the same time, we extend I-SSA with new features such as allowing first-order messages.