1.This chapter discusses 2 main topics: the structure of semantic memory and schemas and scripts. In part one it explains the 4 structures of semantic memory:
Feature Comparison Model: features of a concept are saved in your memory, this way you recognize the concept in question.
Prototype Approach: by comparing the object with prototype you find out what belongs to which category.
Exemplar Approach: examples that are stored in our memory is called exemplar, this appears when you have some examples that you identify to the subject in question.
Network Models: it’s a model that link many concepts to the main subject, for example the use of brainstorming method.
In second part it explains the schemas and scripts, which explains the selection, extension, abstraction, interference and integration.
2. This chapter relates with previous chapter, such as working memory, long term memory, where by knowledge from past( exciting) are being used to recognize objects.
3. I still have difficulty with schemas and inferences in memory. I am not clear on relating the explicit and implicit memory task to this concept.
4. This would apply to my work I think, if I learn something new at work, which is unfamiliar to me, I try to use my past knowledge to direct me in good way of learning the new system or method.
5. So far the author has been giving examples and research that are being true, since I try to do the example my self to see if it’s working, so yes I think the author is providing reasonable proof.
6. This method is important since you be using exciting knowledge to recognize and remember new objects, this way it makes it easy to you to understand what you are doing and learning.
7. Personally I would use it if I have to learn something new or I will go to places that are new to me. I try then to use exciting knowledge to judge thing. And also to direct people that are unfamiliar to this concept.
8. I think by learning a lot and trying to memorize it in long term you be able to use it for this method, which you be using past knowledge. For researchers it would be more efficient use their exciting knowledge to come up with better research on this matter.
Thursday, March 5, 2009
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