Network Analysis.
-TR is conditionally dependent on SC, EdTech, A, and MW.
-Prior belief is shown as follows(using AIspace):- can be downloaded here for free http://www.aispace.org/downloads.shtml Belief and Decision Networks
Bayesian Network without Prior probability.
1. Calculate CPD of TR.
P(TR,A,MW,SC,Edtech)=P(A)xP(SC)xP(EdTech)xP(TR/A,EdTech,SC,MW)xP(MW/SC)
2. QUERY THE network with examples of casual or evidential reasoning and describe the result. Expectations, plausible, how to interpret it
• With reference to you How would this BN be used in a context of a larger system, for example, an intelligent agent that takes decisions or perhaps or a system that provides feedback to students on their problem solving
• Choose one of the following to elaborate on:
What data would you need to ‘train’ the BN (the CPDs)
Reflect on the specific potential and limitations of Bayesian Networks (using yours as an example if needed) with reference to other possible representations (e.g. decision trees).
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