TY - GEN
T1 - Model-lite planning for the Web age masses
T2 - AAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference
AU - Kambhampati, Subbarao
PY - 2007/11/28
Y1 - 2007/11/28
N2 - The automated planning community has traditionally focused on the efficient synthesis of plans given a complete domain theory. In the past several years, this line of work met with significant successes, and the future course of the community seems to be set on efficient planning with even richer models. While this line of research has its applications, there are also many domains and scenarios where the first bottleneck is getting the domain model at any level of completeness. In these scenarios, the modeling burden automatically renders the planning technology unusable. To counter this, I will motivate model-lite planning technology aimed at reducing the domain-modeling burden (possibly at the expense of reduced functionality), and outline the research challenges that need to be addressed to realize it.
AB - The automated planning community has traditionally focused on the efficient synthesis of plans given a complete domain theory. In the past several years, this line of work met with significant successes, and the future course of the community seems to be set on efficient planning with even richer models. While this line of research has its applications, there are also many domains and scenarios where the first bottleneck is getting the domain model at any level of completeness. In these scenarios, the modeling burden automatically renders the planning technology unusable. To counter this, I will motivate model-lite planning technology aimed at reducing the domain-modeling burden (possibly at the expense of reduced functionality), and outline the research challenges that need to be addressed to realize it.
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M3 - Conference contribution
AN - SCOPUS:36348948453
SN - 1577353234
SN - 9781577353232
T3 - Proceedings of the National Conference on Artificial Intelligence
SP - 1601
EP - 1604
BT - AAAI-07/IAAI-07 Proceedings
Y2 - 22 July 2007 through 26 July 2007
ER -