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Learning of agents with limited resources

Nowaczyk, Slawomir LU (2006) 21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06 2. p.1893-1894
Abstract
In our research we investigate rational agent which consciously balances deliberation and acting, and uses learning to augment its reasoning. It creates several partial plans, uses past experience to choose the best one and, by executing it, gains new knowledge about the world. We analyse a possible application of Inductive Logic Programming to learn how to evaluate partial plans in a resource-constrained way. We also discuss how ILP framework can generalise partial plans. Copyright
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Inductive Logic Programming, Rational agents, Reasoning, Partial plans
host publication
Proceedings of the National Conference on Artificial Intelligence
volume
2
pages
1893 - 1894
publisher
American Association for Artificial Intelligence
conference name
21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06
conference location
Boston, MA, United States
conference dates
2006-07-16 - 2006-07-20
external identifiers
  • scopus:33750742224
language
English
LU publication?
yes
id
944fdb4e-a2ee-4297-af80-cf09e26df63d (old id 616925)
alternative location
http://fileadmin.cs.lth.se/ai/psfiles/SAIS05NowaczykS.pdf
date added to LUP
2016-04-04 11:36:59
date last changed
2021-06-23 02:06:24
@inproceedings{944fdb4e-a2ee-4297-af80-cf09e26df63d,
  abstract     = {In our research we investigate rational agent which consciously balances deliberation and acting, and uses learning to augment its reasoning. It creates several partial plans, uses past experience to choose the best one and, by executing it, gains new knowledge about the world. We analyse a possible application of Inductive Logic Programming to learn how to evaluate partial plans in a resource-constrained way. We also discuss how ILP framework can generalise partial plans. Copyright},
  author       = {Nowaczyk, Slawomir},
  booktitle    = {Proceedings of the National Conference on Artificial Intelligence},
  language     = {eng},
  pages        = {1893--1894},
  publisher    = {American Association for Artificial Intelligence},
  title        = {Learning of agents with limited resources},
  url          = {http://fileadmin.cs.lth.se/ai/psfiles/SAIS05NowaczykS.pdf},
  volume       = {2},
  year         = {2006},
}