Interoperable AI: Evolutionary Race Towards Sustainable Knowledge Sharing

Article and Supplementary MaterialInternational audienceThe advancement and deployment of artificial intelligent agents brought numerous benefits in knowledge and data gathering and processing. However, one of the key challenges in deploying such agents in an open environment like the Web is their interoperability as they currently mostly run in silos. In this paper we report on a simulation and evaluation based on evolutionary agent-based modelling to empirically test how sustainable different strategies are for knowledge sharing in open multi-agent systems (MAS). Our results show the importance of translation-based approaches and the need for incentives to support these

Interorganizational Information Systems: Systematic Literature Mapping Protocol

Organizations increasingly need to establish partnerships with other organizations to face environment changes and remain competitive. This interorganizational relationship allows organizations to share resources and collaborate to handle business opportunities better. This technical report present the protocol of the systematic mapping performed to understand what is an IOIS and how these systems support interorganizational relationships

Combining reactive and deliberative agents for complete ecosystems in infospheres

International audienceThe diversity of resources and information in real infospheres calls for artificial ecosystems with a diversity of interacting agents ranging from reactive to deliberative paradigms and maintaining the information ecology. After discussing the notion of infosphere and some interests of the XML family for such a world, this paper provides examples showing the interest of such hybrid systems