Learning plan applicability through active mental entities
作者:
Pietro Baroni,
Daniela Fogli,
Giovanni Guida,
期刊:
AIP Conference Proceedings
(AIP Available online 1999)
卷期:
Volume 465,
issue 1
页码: 143-154
ISSN:0094-243X
年代: 1999
DOI:10.1063/1.58262
出版商: AIP
数据来源: AIP
摘要:
This paper aims at laying down the foundations of a new approach to learning in autonomous mobile robots. It is based on the assumption that robots can be provided with built-in action plans and with mechanisms to modify and improve such plans. This requires that robots are equipped with some form of high-level reasoning capabilities. Therefore, the proposed learning technique is embedded in a novel distributed control architecture featuring an explicit model of robot’s cognitive activity. In particular, cognitive activity is obtained by the interaction ofactive mental entities, such as intentions, persuasions and expectations. Learning capabilities are implemented starting from the interaction of such mental entities. The proposal is illustrated through an example concerning a robot in charge of reaching a target in an unknown environment cluttered with obstacles. ©1999 American Institute of Physics.
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