The Topical Collection looks for submissions covering the following aspects: (1) Artificial Intelligence in Smart Computing; (2) Artificial Intelligence for Industry and Societies; (3) Multi-Agent Systems (Theory and Applications); (4) Social Simulation and Modelling. Further detail of the different subject areas is given below.
(1) Artificial Intelligence in Smart Computing:
With the advance of computer networks and hardware technology, it is now possible not only to integrate miniaturized computers into the things in our surroundings but also possible to connect those things over computer networks and the Internet.
(2) Artificial Intelligence for Industry and Societies:
Societies and industries face many challenges to be more intelligent and sustainable. In this context, many good practices and approaches are being explored, and numerous new contributions are being generated daily. Many good practices and procedures are being investigated and several unique contributions emerge without benefitting from sufficient visibility. In these, A.I. will have an even stronger role, as complex multi-disciplinary projects need its support. In this evolution, Industry and Societies must be holding hands, and this is a truly multi-disciplinary endeavour, whereby A.I. is a key hinge and facilitator between technologies, goods and services.
(3) Multi-Agent Systems: Theory and Applications:
The purpose of this thematic track is to provide a high-profile, internationally respected discussion forum on the most recent and innovative scientific research in the area of agents and multiagent systems (MAS). The MASTA thematic track will cover not only traditional topics related to agent theory and multi-agent engineering but also issues associated with using evolving autonomous systems in real-world scenarios where humans are involved, including conversational systems.
(4) Social Simulation and Modelling:
Social Simulation is a multi-disciplinary effort that has increasingly established new challenges for the Artificial Intelligence and Multiagent Systems (MAS) community, by bringing the agent technology to face complex phenomena such as the ones found in social sciences. In addition, since social life could not be conceived without social interactions, other areas such as social network analysis have contributed to characterising and modelling the structures of networks, so as to understand the flow of relevant factors between network nodes (i.e., the agents).