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Consensus Theory for Cognitive Agents’ Unstructured Knowledge Conflicts Resolving in Management Information Systems
- Source :
- Transactions on Computational Collective Intelligence XXXII ISBN: 9783662586105
- Publication Year :
- 2018
- Publisher :
- Springer Berlin Heidelberg, 2018.
-
Abstract
- Management information systems of distributed nature, play a vital role in any kind of business organizations’ activity. The multi-agent systems, based on cognitive agent architecture, deserve special attention in this class of systems. They allow not only to access to the information and quick search for interesting us information, its analysis and drawing conclusions, but also, in addition to responding to stimuli from the environment, have the cognitive ability to learning through empirical experience gained through direct interaction with the environment. It, in turn, allows for the automatic generation of variants of decisions and, in many cases, even taking and putting into action the decisions. The big problem currently, however, turns out to be the processing of unstructured knowledge in systems of this kind. In contemporary companies, unstructured knowledge is essential, mainly due to the possibility to obtain better flexibility and competitiveness of the organization. Therefore, unstructured knowledge supports structured knowledge to a high degree. Simultaneously, one must note that the most prevailing phenomenon is a conflict in unstructured knowledge. It is extremely difficult to resolve conflicts of this kind properly. However, it is also very important, since it can improve the operation of management information system and, consequently, help the organization that employs the system become more flexible and competitive.
- Subjects :
- Flexibility (engineering)
Class (computer programming)
021103 operations research
Knowledge management
business.industry
Computer science
0211 other engineering and technologies
Consensus theory
Cognition
02 engineering and technology
Management information systems
Action (philosophy)
Phenomenon
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Architecture
business
Subjects
Details
- ISBN :
- 978-3-662-58610-5
- ISBNs :
- 9783662586105
- Database :
- OpenAIRE
- Journal :
- Transactions on Computational Collective Intelligence XXXII ISBN: 9783662586105
- Accession number :
- edsair.doi...........e380a5eb0e1d409e3e0a6bb2351aab68