An Architecture for Resource Bounded Agents
Author
Editor
- M. Ganzha
- M. Paprzycki
- T. Pełech-Pilichowski
Summary, in English
We study agents situated in partially observable environments, who do not have sufficient resources to create conformant (complete) plans. Instead, they create plans which are conditional and partial, execute or simulate them, and learn from experience to evaluate their quality. Our agents employ an incomplete symbolic deduction system based on Active Logic and Situation Calculus for reasoning about actions and their consequences. An Inductive Logic Programming algorithm generalises observations and deduced knowledge so that the agents can choose the best plan for execution.
We describe an architecture which allows ideas and solutions from several subfields of Artificial Intelligence to be joined together in a controlled and manageable way. In our opinion, no situated agent can achieve true rationality without using at least logical reasoning and learning. In practice, it is clear that pure logic is not able to cope with all the requirements put on reasoning, thus more domain- specific solutions, like planners, are also necessary. Finally, any realistic agent needs a reactive module to meet demands of dynamic environments.
Our architecture is designed in such a way that those three elements interact in order to complement each other’s weaknesses and reinforce each other’s strengths.
We describe an architecture which allows ideas and solutions from several subfields of Artificial Intelligence to be joined together in a controlled and manageable way. In our opinion, no situated agent can achieve true rationality without using at least logical reasoning and learning. In practice, it is clear that pure logic is not able to cope with all the requirements put on reasoning, thus more domain- specific solutions, like planners, are also necessary. Finally, any realistic agent needs a reactive module to meet demands of dynamic environments.
Our architecture is designed in such a way that those three elements interact in order to complement each other’s weaknesses and reinforce each other’s strengths.
Department/s
- Computer Science
Publishing year
2007
Language
English
Pages
59-69
Publication/Series
Proceedings of the International Multiconference on Computer Science and Information Technology
Volume
2
Full text
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Document type
Conference paper
Publisher
Polskie Towarzystwo Informatyczne
Topic
- Computer Science
Conference name
International Multiconference on Computer Science and Information Technology
Conference date
2007-10-15 - 2007-10-17
Conference place
Wisła, Poland
Status
Published
ISBN/ISSN/Other
- ISSN: 1896-7094