Learning From External Environments Using Soar

John E. Laird

doi:10.1117/12.969306

21 March 1989 Learning From External Environments Using Soar

John E. Laird

Proceedings Volume 1095, Applications of Artificial Intelligence VII; (1989) https://doi.org/10.1117/12.969306
Event: SPIE 1989 Technical Symposium on Aerospace Sensing, 1989, Orlando, FL, United States

Abstract

In this talk I will describe recent progress in developing problem solving architectures that learn from interactions with external environments. Previous work in planning and problem solving has often ignored the special constraints and uncertainties that arise from interacting with a real environment. In addition, learning was seen as an add-on that could be ignored until the planning system was complete. Similarly, most learning work has been carried out in simulated domains, or at least in domains where interaction with an environment is mininized. Recently, several systems have been developed that attempt to integrate learning and problem solving while interacting with an external environment.

Citation Download Citation

John E. Laird "Learning From External Environments Using Soar", Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); https://doi.org/10.1117/12.969306

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available