We use cookies to ensure that we give you the best experience on our website. By continuing to browse this repository, you give consent for essential cookies to be used. You can read more about our Privacy and Cookie Policy.

Durham Research Online
You are in:

Comparing stochastic design decision belief models : pointwise versus interval probabilities.

Matthews, P. C. (2010) 'Comparing stochastic design decision belief models : pointwise versus interval probabilities.', 4th International Conference on Design Computing and Cognition DCC'10 Stuttgart, Germany, 12-14 July 2010.


Decision support systems can either directly support a product designer or support an agent operating within a multi-agent system (MAS). Stochastic based decision support systems require an underlying belief model that encodes domain knowledge. The underlying supporting belief model has traditionally been a probability distribution function (PDF) which uses pointwise probabilities for all possible outcomes. This can present a challenge during the knowledge elicitation process. To overcome this, it is proposed to test the performance of a credal set belief model. Credal sets (sometimes also referred to as p-boxes) use interval probabilities rather than pointwise probabilities and therefore are more easier to elicit from domain experts. The PDF and credal set belief models are compared using a design domain MAS which is able to learn, and thereby refine, the belief model based on its experience. The outcome of the experiment illustrates that there is no significant difference between the PDF based and credal set based belief models in the performance of the MAS.

Item Type:Conference item (Paper)
Full text:["content_typename_presentation" not defined]
Download PDF
Publisher Web site:
Date accepted:No date available
Date deposited:No date available
Date of first online publication:July 2010
Date first made open access:No date available

Save or Share this output

Look up in GoogleScholar