Learning of defaults by agents in a distributed multi-agent system environment
Henryk Rybiński , Dominik Paweł Ryżko , Przemysław B. Więch
The paper introduces a novel approach to machine learning in a multi-agents system. A distributed version of Inductive Logic Programming is used, which allows agents to construct new rules based on knowledge and examples, which are available to different memebrs of the system. The learning process is performed in two phases - first locally by each agent and then on the global level while reasoning. © Springer-Verlag Berlin Heidelberg 2013.
|Book||Smart Innovation, Systems and Technologies, Smart Innovation, Systems and Technologies , 2013, ISBN 9783642286988, 197-213 p.|
|Score||= 0.0, 24-07-2020, MonographChapterAuthor|
|Publication indicators||= 0; = 2.0; : 2013 = 0.315|
|Citation count*||2 (2020-09-17)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.