PhD
thesis
A Unifying Semantics
for Causal Reasoning about Action
Abstract
One of the principal
concerns in the research area of Reasoning about Action and Change
is determining the ramifications of actions in changing environments.
A particular tendency emerging in recent literature endorses the
explicit incorporation of causal knowledge in logic-based action
theories. It is argued that causal extensions not only enhance the
expressive power of theories of action, but may also provide more
concise and intuitive representations.
This dissertation investigates semantics for causal reasoning about
action and change. It does so by exploring the role of several fundamental
underlying principles, such as the Principle of Minimal Change
and the Principle of Causal Change. The development of this
work culminates in a general unifying semantics for a class of action
theories represented by a number of recent and influential approaches.
We focus on three of the most prominent causal frameworks in the
Reasoning about Actions literature: the causal systems with fixed-points
suggested by McCain and Turner, the causal relationship approach
of Thielscher, and Sandewall's causal propagation semantics (also
known as the transition cascade semantics). Each is studied via
a semantics which includes a preferential component augmented with
a causal relation.
The foregoing results are used to develop a general augmented
preferential-style semantics that subsumes the causal systems
with fixed-points and the causal relationship approach. The causal
propagation semantics of Sandewall is shown to be a special case
as well, characterised under certain uniformity assumptions.
The unifying general augmented preferential semantics, emerging
as a result of this study, captures both Principles of Change and
shows their clear and distinct roles - they are not inter-reducible
but go hand-in-hand in causal action theories. Furthermore, the
general semantics emphasises the role of contextual information
affecting both minimality and causality, and provides a means for
balancing different contributing factors. It is argued that hidden
or less immediate forces shaping our motivating approaches become
transparent with the help of the general semantics. In addition,
it is hoped that the unifying semantics would provide further insights
into views on causation and minimality, shared by these and other
approaches.
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