Representing and reasoning about narratives together with the ability
to do hypothetical reasoning is important for agents in a dynamic worl
d. These agents need to record their observations and action execution
s as a narrative and at the same time, to achieve their goals against
a changing environment, they need to make plans (or re-plan) from the
current situation. The early action formalisms did one or the other. F
or example, while the original situation calculus was meant for hypoth
etical reasoning and planning, the event calculus was more appropriate
for narratives. Recently, there have been some attempts at developing
formalisms that do both. Independently, there has also been a lot of
recent research in reasoning about actions using circumscription. Of p
articular interest to us is the research on using high-level languages
and their logical representation using nested abnormality theories (N
ATs)-a form of circumscription with blocks that make knowledge represe
ntation modular. Starting from theories in the high-level language L,
which is extended to allow concurrent actions, we define a translation
to NATs that preserves both narrative and hypothetical reasoning. We
initially use the high level language L, and then extend it to allow c
oncurrent actions. In the process, we study several knowledge represen
tation issues such as filtering, and restricted monotonicity with resp
ect to NATs. Finally, we compare our formalization with other approach
es, and discuss how our use of NATs makes it easier to incorporate oth
er features of action theories, such as constraints, to our formalizat
ion. (C) 1998 Elsevier Science B.V. All rights reserved.