We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
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 .
To save content items to your Kindle, first ensure [email protected]
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.
This paper presents a possible future direction for agent-based
simulation using complex agents that can learn from experience and report
their individual evaluations. Adding learning to the agent model permits
the simulation of potentially important agent behavior such as curiosity.
The agents can then report evaluations of a design that are situated in
their individual experience. The paper describes the architecture of
curious agents used in the situated evaluation of designs. It then
describes an example of the application of such curious agents in the
evaluation of the curating of an exhibition in an art gallery.
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.