A stochastic action language A
File(s)
Published version
Author(s)
Watanabe, Hiroaki
Muggleton, Stephen
Type
Report
Abstract
In this paper we present a new stochastic nondeterministic
high-level action language SAA which is
a stochastic extension of Action Language A. We describe
the syntax and semantics of SAA and show it
has an equivalent expressive power to Hidden Markov
Models (HMMs). The main advantage of SAA is its
smooth conversion of propositions and probability, and
use of a well-established stochastic model. We show
two simple examples in the nuclear reactor domain and
propose a normalisation technique for declarative probability
assignments which match our intuition.
high-level action language SAA which is
a stochastic extension of Action Language A. We describe
the syntax and semantics of SAA and show it
has an equivalent expressive power to Hidden Markov
Models (HMMs). The main advantage of SAA is its
smooth conversion of propositions and probability, and
use of a well-established stochastic model. We show
two simple examples in the nuclear reactor domain and
propose a normalisation technique for declarative probability
assignments which match our intuition.
Date Issued
2002-01-01
Citation
Departmental Technical Report: 02/2, 2002, pp.1-5
Publisher
Department of Computing, Imperial College London
Start Page
1
End Page
5
Journal / Book Title
Departmental Technical Report: 02/2
Copyright Statement
© 2002 The Author(s). This report is available open access under a CC-BY-NC-ND (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Publication Status
Published
Article Number
02/2