Skip to main content Accessibility help
×
Hostname: page-component-848d4c4894-xfwgj Total loading time: 0 Render date: 2024-06-14T05:19:05.465Z Has data issue: false hasContentIssue false

14 - The learning model

Published online by Cambridge University Press:  22 October 2009

Sandra P. Marshall
Affiliation:
San Diego State University
Get access

Summary

As part of the initial stages of developing appropriate schemas, individuals must learn to recognize the situations to which the schemas pertain. This recognition requires identification knowledge. The performance model of the previous chapter focused on how individuals use their identification knowledge to effect the recognition. The cognitive maps and the performance model both target this necessary early step in schema formation. Identification knowledge can be modeled very well using relatively simple connectionist models, and the performance model of chapter 13 provides one example. A second example is described here. It is a competitive learning model that learns to recognize the problem-solving situations when given appropriate feedback. Both of these models were developed and evaluated as a first stage in building the complete schema model, which is described in chapter 15.

The task to be modeled

This model was developed to learn the appropriate classifications for 100 story problems, using the situations depicted in them as the basis of the classification. Each problem is represented by a set of characteristics that the model uses in making its decisions. Five output responses are possible, and the model selects the one that appears to be most in accord with the input characteristics. During learning, the model responds many times to all 100 story problems.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 1995

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

  • The learning model
  • Sandra P. Marshall, San Diego State University
  • Book: Schemas in Problem Solving
  • Online publication: 22 October 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511527890.020
Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • The learning model
  • Sandra P. Marshall, San Diego State University
  • Book: Schemas in Problem Solving
  • Online publication: 22 October 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511527890.020
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • The learning model
  • Sandra P. Marshall, San Diego State University
  • Book: Schemas in Problem Solving
  • Online publication: 22 October 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511527890.020
Available formats
×