Multitiered representation for autonomous agents

Glenn Wasson; Worthy N. Martin

doi:10.1117/12.335687

8 January 1999 Multitiered representation for autonomous agents

Glenn Wasson, Worthy N. Martin

Proceedings Volume 3525, Mobile Robots XIII and Intelligent Transportation Systems; (1999) https://doi.org/10.1117/12.335687
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States

Abstract

This paper reports on work in developing systems of representation for multi-tiered autonomous agent architectures. Although some have suggested that agents may be able to perform complex tasks using stateless behaviors, we believe this to be strawman. Imagine washing the dishes and dropping a fork into a sudsy sink. Even though the fork cannot be perceived, it should still be washed and not forgotten. We believe agents can be made more efficient or effective if they are allowed to use task dependent information about their environment, which comes not only form current perception, but also from expectations or previous perceptions. We do not propose to have agents develop a compete model of their environment, but rather that their current task will decide what elements of the environment are important and what elements need representation.

Citation Download Citation

Glenn Wasson and Worthy N. Martin "Multitiered representation for autonomous agents", Proc. SPIE 3525, Mobile Robots XIII and Intelligent Transportation Systems, (8 January 1999); https://doi.org/10.1117/12.335687

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