Learning of agents with limited resources
(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:
https://lup.lub.lu.se/record/616925
- author
- Nowaczyk, Slawomir LU
- organization
- publishing date
- 2006
- 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
- 2022-01-29 22:09:30
@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}}, keywords = {{Inductive Logic Programming; Rational agents; Reasoning; Partial plans}}, 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}}, }