Catalogo Articoli (Spogli Riviste)

OPAC HELP

Titolo:
Bridging the gap between planning and scheduling
Autore:
Smith, DE; Frank, J; Jonsson, AK;
Indirizzi:
NASA, Ames Res Ctr, Moffett Field, CA 94035 USA NASA Moffett Field CA USA94035 Ames Res Ctr, Moffett Field, CA 94035 USA
Titolo Testata:
KNOWLEDGE ENGINEERING REVIEW
fascicolo: 1, volume: 15, anno: 2000,
pagine: 47 - 83
SICI:
0269-8889(200003)15:1<47:BTGBPA>2.0.ZU;2-E
Fonte:
ISI
Lingua:
ENG
Soggetto:
CONSTRAINT SATISFACTION PROBLEMS; SEARCH; TIME; CONSISTENCY; ALGORITHMS; COMPLEXITY; FRAMEWORK; NETWORKS; GOALS;
Tipo documento:
Review
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
140
Recensione:
Indirizzi per estratti:
Indirizzo: Smith, DE NASA, Ames Res Ctr, Mail Stop 269-2, Moffett Field, CA 94035 USANASA Mail Stop 269-2 Moffett Field CA USA 94035 ld, CA 94035 USA
Citazione:
D.E. Smith et al., "Bridging the gap between planning and scheduling", KNOWL ENG R, 15(1), 2000, pp. 47-83

Abstract

Planning research in Artificial Intelligence (AI) has often focused on problems where there are cascading levels of action choice and complex interactions between actions. In contrast, scheduling research has focused on muchlarger problems where there is little action choice, but the resulting ordering problem is hard. In this paper, we give an overview of AI planning and scheduling techniques, focusing on their similarities, differences, and limitations. We also argue that many difficult practical problems lie somewhere between planning and scheduling, and that neither area has the right set of tools for solving these vexing problems.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 03/04/20 alle ore 20:31:48