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Cognitive Maps in Qualitative Modeling Techniques (CROSBI ID 206552)

Prilog u časopisu | izvorni znanstveni rad

Štula, Maja ; Mladenović, Saša ; Maras, Josip ; Stipaničev, Darko Cognitive Maps in Qualitative Modeling Techniques // International journal of advancements in computing technology, 6 (2014), 3; 120-131

Podaci o odgovornosti

Štula, Maja ; Mladenović, Saša ; Maras, Josip ; Stipaničev, Darko

engleski

Cognitive Maps in Qualitative Modeling Techniques

This paper presents knowledge representation and formalization in different qualitative modeling techniques. Qualitative reasoning, bond graphs, system dynamics, Petri nets and fuzzy cognitive maps are described and compared. They have also been compared with knowledge representation using semantic networks. The conclusion drawn in the paper is that all modeling approaches, observed in the paper, at some phase of a model development use some kind of a cognitive map presented with a directed graph. A cognitive map represents a system by identifying main concepts and relations among concepts them. There are a lot of different cognitive map types representing different kinds of knowledge. Some maps, like fuzzy cognitive maps and causal loops in system dynamics, include knowledge about cause-effect relationships among concepts. Other maps, like envisionment in qualitative reasoning and Petri nets, include knowledge about possible transitions among concepts representing system states variables. Use of cognitive maps in qualitative modeling techniques has been expected because humans use mental cognitive maps to deal with complexity in the surrounding world. That is probably the reason why cognitive maps are widely used in different areas of modeling and simulation to formally represent different type of knowledge.

cognitive maps; knowledge representation; directed graphs; qualitative modeling; fuzzy cognitive maps; semantic networks; qualitative reasoning; bond graphs; Petri nets; system dynamics

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Podaci o izdanju

6 (3)

2014.

120-131

objavljeno

2005-8039

2233-9337

Povezanost rada

Računarstvo