Learning of defaults by agents in a distributed multi-agent system environment

Henryk Rybiński , Dominik Paweł Ryżko , Przemysław B. Więch

Abstract

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.

Author Henryk Rybiński (FEIT / IN)
Henryk Rybiński,,
- The Institute of Computer Science
, Dominik Paweł Ryżko (FEIT / IN)
Dominik Paweł Ryżko,,
- The Institute of Computer Science
, Przemysław B. Więch (FEIT / IN)
Przemysław B. Więch,,
- The Institute of Computer Science
Pages197-213
Book Smart Innovation, Systems and Technologies, Smart Innovation, Systems and Technologies , 2013, ISBN 9783642286988, 197-213 p.
ASJC Classification1700 General Computer Science; 1800 General Decision Sciences
DOIDOI:10.1007/978-3-642-28699-5_8
Languageen angielski
Score (nominal)0
ScoreMinisterial score = 0.0, 24-07-2020, MonographChapterAuthor
Publication indicators Scopus Citations = 0; GS Citations = 2.0; Scopus SNIP (Source Normalised Impact per Paper): 2013 = 0.315
Citation count*2 (2020-09-17)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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