APPLYING STATISTICAL METHODS IN KNOWLEDGE MANAGEMENT OF A MULTI-AGENT SYSTEM

• Authors: Kosinar Michal , Kohut Ondrej
• Languages of publication: EN

Abstracts

EN

Multi-agent system is a system of autonomous, intelligent but resource-bounded agents. Particular agents have to be able to make decisions on their own, based on the activities of other agents and events within the system as well as in its environment. To this end agents make use of their own internal knowledge base which serves them as a memory. In this paper the authors focus on the design and management of such a knowledge base. After a brief description of some classical fundamental approaches to the knowledge base management, they propose an improvement based on the application of statistical methods. The authors focus in particular on the optimization of the process.

Keywords

EN

DESIGN; INTENSIONAL LOGIC; KNOWLEDGE MANAGEMENT; MULTI-AGENT SYSTEMS; PROCESS; STATISTICAL METHODS

Discipline

• PHILOSOPHY: PHILOSOPHY

• Publisher: Institute of Philosophy of the Slovak Academy of Sciences and Institute of Philosophy of Academy of Sciences of Czech Republic
• Journal: Organon F. medzinárodný časopis pre analytickú filozofiu
• Year: 2010
• Volume: 17
• Issue: 2
• Pages: 201-216
• Document type: ARTICLE

Contributors

author

Kosinar Michal

author

Kohut Ondrej

• Michal Kosinar, VSB - Technicka Univerzita Ostrava, 17. listopadu 15, 708 33 Ostrava, Czech Republic

Identifiers

CEJSH db identifier

11SKAAAA090524