Learning and Planning of Situated Resource Bounded Agents
(2006) 23rd Annual Workshop of the Swedish Artificial Intelligence Society- Abstract
- This paper presents an investigation of rational agents that have limited computational resources and that can interact with their environments. We
analyse how such agents can combine deductive reasoning using domain knowledge and inductive learning from past experiences, while remaining time-aware in a manner appropriate for beings situated in a dynamic universe.
In particular, we consider how they can create and reason about partial plans, choose and execute the best ones of them — in such way as to acquire the most knowledge. We also discuss what are the different types of interactions with the world and how they can influence agent’s ability to consciously direct its own learning process.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1002959
- author
- Nowaczyk, Slawomir LU
- organization
- publishing date
- 2006
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Proceedings of the 23rd Annual Workshop of the Swedish Artificial Intelligence Society
- conference name
- 23rd Annual Workshop of the Swedish Artificial Intelligence Society
- conference location
- Umeå, Sweden
- conference dates
- 2006-05-10 - 2006-05-12
- ISSN
- 0348-0542
- language
- English
- LU publication?
- yes
- id
- 4a69de92-0370-49a0-b8ac-5b44a2c35beb (old id 1002959)
- date added to LUP
- 2016-04-04 09:12:09
- date last changed
- 2018-11-21 20:51:28
@inproceedings{4a69de92-0370-49a0-b8ac-5b44a2c35beb,
abstract = {{This paper presents an investigation of rational agents that have limited computational resources and that can interact with their environments. We<br/><br>
analyse how such agents can combine deductive reasoning using domain knowledge and inductive learning from past experiences, while remaining time-aware in a manner appropriate for beings situated in a dynamic universe.<br/><br>
In particular, we consider how they can create and reason about partial plans, choose and execute the best ones of them — in such way as to acquire the most knowledge. We also discuss what are the different types of interactions with the world and how they can influence agent’s ability to consciously direct its own learning process.}},
author = {{Nowaczyk, Slawomir}},
booktitle = {{Proceedings of the 23rd Annual Workshop of the Swedish Artificial Intelligence Society}},
issn = {{0348-0542}},
language = {{eng}},
title = {{Learning and Planning of Situated Resource Bounded Agents}},
url = {{https://lup.lub.lu.se/search/files/5259542/1023632}},
year = {{2006}},
}