About the book
The book covers one of the most actual and prospective areas of Artificial Intelligence (AI) – Multi-Agent Technologies (MATs) – and their nexus with Machine Learning (ML). MATs and Multi-Agent Systems (MASs) arise as an extremely powerful tool for the solution of various complicated problems regarding the planning of operation of distributed robotics and inter-robot communications, assessment and predictive modeling of situations, smart homes and cities supervising and control, financial, economic, ecological, biological and demographic modeling and simulation, etc. From the other side, ML joins a broad set of theoretical and technological approaches aimed to minimize the difficulty and time necessary for the development and maintenance of knowledge bases of MASs-based socio-technological smart systems. ML is conceptually and practically closely interconnected with artificial neural networks. So joint consideration of these two modern paradigms may produce a non-trivial synergetic effect in both directions: multi-agent implementation of ML logics and procedures, as well as ML-based algorithms of correcting MASs behaviour by changing their knowledge bases according to a volatile environment. The most interesting topic would be combined and deeply integrated MASs with neuro-based ML elements embedded in MAT inference and meta-inference engines.