Multiagent Modelling and Simulation as a Means to Wider Industrial Deployment of Agent Based Computing in Air-Traffic Control

Abstract

Agent based computing is an innovative sub-field of artificial intelligence and computer science, which provides theories for understanding behaviour of distributed, multi-actor systems and provides methods and algorithms for control of individual components of such system and protocols ruling their interactions. Despite agent-based computing being a highly successful basic research community, it still struggles for wider industrial deployment. The major limitation of massive exploitation of research results is the fact that they have not been successfully tested on large scale complex systems and that such testing would be expensive and in many cases risky. Sophisticated multiagent modelling and simulation can provide high fidelity, high-performance and scalable computational models of the targeted applications. The models can be used for empirical validation of the agent algorithms, methods and theories and can be used as a vehicle for transfer of the technology.