TY - GEN
T1 - Epistemic specifications and conformant planning
AU - Zhang, Yan
AU - Zhang, Yuanlin
N1 - Publisher Copyright:
© 2017, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2017
Y1 - 2017
N2 - Epistcmic Specifications allow for the correct representation of incomplete information in the presence of multiple belief sets by expanding Answer Set Programming with modal operators K and M. The meaning of M in the existing work does not correspond well to the principle of justifiedness accepted by the community. It is, however, challenging to characterize the justfiedness of each belief, due to the complexity introduced by M. We address this issue by identifying a belief set with a program which uniquely decides the belief set. This idea leads to a novel definition of the semantics of Epistemic Specifications which assures that each belief in any belief set is well justified. We also show that conformant planning problems can be naturally represented by Epistemic Specification under our semantics.
AB - Epistcmic Specifications allow for the correct representation of incomplete information in the presence of multiple belief sets by expanding Answer Set Programming with modal operators K and M. The meaning of M in the existing work does not correspond well to the principle of justifiedness accepted by the community. It is, however, challenging to characterize the justfiedness of each belief, due to the complexity introduced by M. We address this issue by identifying a belief set with a program which uniquely decides the belief set. This idea leads to a novel definition of the semantics of Epistemic Specifications which assures that each belief in any belief set is well justified. We also show that conformant planning problems can be naturally represented by Epistemic Specification under our semantics.
UR - http://www.scopus.com/inward/record.url?scp=85046100594&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85046100594
T3 - AAAI Workshop - Technical Report
SP - 781
EP - 787
BT - WS-17-01
PB - AI Access Foundation
T2 - 31st AAAI Conference on Artificial Intelligence, AAAI 2017
Y2 - 4 February 2017 through 10 February 2017
ER -