student profile: Mr Shir Dekel


Map

Thesis work

Thesis title: Re-representing business knowledge

Supervisors: Bruce BURNS , Micah GOLDWATER

Thesis abstract:


Understanding knowledge representation is important for problem solving in many industries, especially when attempting to solve problems that require a rerepresentation of existing knowledge. The extant literature has investigated rerepresentation in problem solving primarily through insight problems (e.g., Duncker & Lees, 1945; Ormerod, MacGregor, & Chronicle, 2002). The problem with traditional insight problems is that it is difficult to measure the participants’ representation of the problem, and how that representation may be different after certain manipulations. Sewell and Lewandowsky (2011) used a categorisation paradigm that allows to more clearly ascertain different representations through participant transfer responses. The present research uses this paradigm in a business knowledge domain, rather than the original visual domain. Experiment 1 will assess response baselines to the basic task and confirm the predicted response profiles for each strategy when provided with an explicit hint to use the given strategy. Experiment 2 will investigate how participants naturally rerepresent business knowledge and what manipulations will facilitate this rerepresentation. It is hypothesised that representing a situation using a more modular representation will increase the chance of rerepresenting it when required. This will be tested through real-life problem solving in both product design and business settings.

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