Skip to main content Accessibility help

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.

Close cookie message
×
  1. Home
  2. Search

Refine search

Refine search

Access:
Content type:
Publication date:
Apply   From and To filters
Subject: Show more
Journals Show more
Publishers: Show more
Societies Show more
Series: Show more
Collections: Show more

Actions for selected content:

Select all | Deselect all
  • View selected items
  • Export citations
  • Download PDF (zip)
  • Save to Kindle
  • Save to Dropbox
  • Save to Google Drive

Save Search

You can save your searches here and later view and run them again in "My saved searches".

Please provide a title, maximum of 40 characters.
Cancel
×

3 results

  • Chapter 25 - The Future of Disaster Planning

  • from Part V - The Quality of Emergency Operations Planning
  • Mark Keim
  • Book:
    Disaster Planning
    Published online:
    21 October 2021
    Print publication:
    04 November 2021, pp 168-176

  • Summary

    This chapter scans the range of possibilities now open for emergency operations planning. The embedded case study describes use of the cloud, artificial intelligence, and the “internet of things.”

  • Chapter 25 - Cognition for Culture

  • from Part III - Empirical Developments
  • Edited by Philip Robbins, Washington University, St Louis, Murat Aydede, University of Florida
  • Book:
    The Cambridge Handbook of Situated Cognition
    Published online:
    05 June 2012
    Print publication:
    03 November 2008, pp 467-479

  • Summary

    In the classical theory, the terms problem and task are interchangeable. Allen Newell and Herbert Simon introduced the expression task environment to designate an abstract structure that corresponds to a problem. It is called an environment because subjects who improve task performance are assumed to be adapting their behavior to some sort of environmental constraints, the fundamental structure of the problem. Task environments are differentiated from problem spaces, the representation subjects are assumed to mentally construct when they understand a task correctly. Puzzle and game cognition seems to fit the formal, knowledge-lean approach. The ideas of task environment and problem space have a formal elegance that is seductive. The four areas in which adherents of situated cognition ought to be offering theories are: hints, affordances, thinking with things, and self-cueing. Evidently, self-cueing helps beat the data driven nature of cognition.

  • Yes, and by the way … thoughts on “Whither design space?”

  • ULRICH FLEMMING
  • Journal:
    AI EDAM / Volume 20 / Issue 2 / May 2006
    Published online by Cambridge University Press:
    10 March 2006, pp. 89-94

  • Having no fundamental difficulties with Woodbury and Burrow's article, I explore some implications of their work based on my experience, and that of PhD students advised by me, with developing design support systems. I suggest that such systems need a distinct task layer on top of the computational layer, where the power of a system rests. I also express unease with some details of the article under review, in the hope of contributing to a wider discussion.