Neural Networks Wikibooks
- Why and how do people categorize?
- why- to develop a schema that corresponds well to their real life. We need that so we aren't routinely mislead.
- how- from either exemplars or prototypes (maybe both? we're unsure)
- What issue is important but ignored by prototype and exemplar?
- The author argues that its not so clear, but we have to take into account flexibility of structures as well as people's goals. Instead we should use clusters.
- clusters: bundles of experiences that group together - a more flexible way of representing info.
- Encompass both prototypes and exemplars in that a category represented by one cluster is a prototype and one category with many clusters is an exemplar.
- exemplar prototype continuum (a spectrum)
- Knowledge gets more complex the more we learn, and this model follows that.
- The author says the world comes in natural chunks, so it makes sense that we would make clusters out of those things that naturally go together
- from this perspective, clustering is driven by the environment, but it may also be influenced by goals. -ex. you may look at a cow differently if you are a vet or a butcher.
Wikibook - Semantic Networks
Source: Cognitive Psychology
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