Policies, norms and actions: groundwork for a framework
File(s)DTR11-3.pdf (847.41 KB)
Published version
Author(s)
Craven, Robert
Type
Report
Abstract
Constraints on computational agents' behaviour are studied both in work on policy-
governed systems|usually as part of work on security or policy-based management in dis-
tributed software engineering|and also in multi-agent systems research, where the terminol-
ogy is generally one of `norms' and concepts drawn from deontic logic. Interaction between
these treatments, and the research communities that study them, has not been as thorough
as it might, for though the perpectives, methods and interests are sometimes di erent, there
is a great deal of shared ground. In the current research report, we present a language and
tools which can be used for reasoning about and studying the operation of both norms and
policies on a multi-agent, or distributed, system. The language is based on one member, C+,
of a family of knowledge representation formalisms studied in AI. We describe the types of
domains that can be represented, the kinds of analysis tasks that are possible, and describe
our current implementation (which is freely available for download). Future directions for this
work are described.
governed systems|usually as part of work on security or policy-based management in dis-
tributed software engineering|and also in multi-agent systems research, where the terminol-
ogy is generally one of `norms' and concepts drawn from deontic logic. Interaction between
these treatments, and the research communities that study them, has not been as thorough
as it might, for though the perpectives, methods and interests are sometimes di erent, there
is a great deal of shared ground. In the current research report, we present a language and
tools which can be used for reasoning about and studying the operation of both norms and
policies on a multi-agent, or distributed, system. The language is based on one member, C+,
of a family of knowledge representation formalisms studied in AI. We describe the types of
domains that can be represented, the kinds of analysis tasks that are possible, and describe
our current implementation (which is freely available for download). Future directions for this
work are described.
Date Issued
2011-01-01
Citation
Departmental Technical Report: 11/3, 2011, pp.1-50
Publisher
Department of Computing, Imperial College London
Start Page
1
End Page
50
Journal / Book Title
Departmental Technical Report: 11/3
Copyright Statement
© 2011 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
11/3