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Cognitive maps are a function of the working brain that humans and animals use for movement in a new environment. They help us in recognizing places, computing directions and distances, and in critical-thinking on shortcuts. They support us in wayfinding in an environment, and act as blueprints for new technology.
A mind map is a diagram used to visually organize information into a hierarchy, showing relationships among pieces of the whole. [1] It is often based on a single concept, drawn as an image in the center of a blank page, to which associated representations of ideas such as images, words and parts of words are added.
In 1988, David Hyerle wrote Expand Your Thinking and introduced Thinking Maps. These are a set of techniques used in primary and secondary education with the intention of providing a common visual language to information structure. There are eight types of maps: Circle Map: used for defining in context; Bubble Map: used for describing with ...
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Example concept map created using the IHMC CmapTools computer program. Concept maps are used to stimulate the generation of ideas, and are believed to aid creativity. [4] Concept mapping is also sometimes used for brain-storming. Although they are often personalized and idiosyncratic, concept maps can be used to communicate complex ideas.
A graphic organizer, also known as a knowledge map, concept map, story map, cognitive organizer, advance organizer, or concept diagram, is a pedagogical tool that uses visual symbols to express knowledge and concepts through relationships between them. [1]
[2]: 13 In later writings, Cabrera describes D, S, R, and P as "patterns of thinking", and expands upon the implications of these thinking skills. [ 3 ] [ 4 ] The DSRP theory is a mathematical formalism of systems thinking and cognition , built on the philosophical underpinnings of constructivism and evolutionary epistemology .
Fuzzy cognitive maps are signed fuzzy directed graphs. Spreadsheets or tables are used to map FCMs into matrices for further computation. FCM is a technique used for causal knowledge acquisition and representation, it supports causal knowledge reasoning process and belong to the neuro-fuzzy system that aim at solving decision making problems, modeling and simulate complex systems. [4]