Howard Bowman
Professor of Cognition and Logic
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- Room
SW15
School of Computing
University of Kent,
School of Computing, University of Kent
Canterbury
Kent
CT2 7NF
England
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Publications
My publications are available from the
Computer Science department publications repository.
Annotated descriptions of my publication work can be found below.
Research Interests
I belong to the following research groups:
Keywords:
Human Attention, Emotions, Reasoning, Connectionist Modelling,
Symbolic Modelling, EEG Recording and Analysis Methods, Formal Methods
and Concurrency Theory.
I have two main areas of research interest: cognitive neuroscience
and formal methods.
Cognitive Neuroscience
In a broad sense, I am interested in how the mind emerges from
the brain to generate a spectrum of cognitive capacities. In this
respect, I undertake work focusing on the following capacities:
perception, consciousness, attention, language, emotions and
decision-making.
I study these topics using a mixture of methods, which includes
behavioural and electrophysiological (EEG) experimentation
and connectionist and symbolic modelling.
Study of these topics is especially timely, since
modern brain imaging techniques are beginning to reveal the
physical mechanisms from which cognition emerges, thus,
enabling biologically plausible models of
cognition to be constructed.
In this area I am currently working on the following topics:
Formal Methods
Formal Methods are mathematically based specification and analysis
techniques. They allow the behaviour of systems to be described
abstractly, i.e. without having to prescribe implementation details, and
then they enable this behaviour to be analysed.
Such analysis might amount to checking
that a particular property holds over a system or that a certain
form of degenerate state cannot be reached. Such
analysis can, for example, be used to give greater confidence that
a system
behaves as intended.
Furthermore, you
should note that I
use the term "system" very generally, as I believe
that formal methods are applicable to modelling a wide spectrum
of systems: biological, physics, artistic, as well as computing.
There are a wealth
of available formal specification notations, e.g. Z, B, CSP, CCS, LOTOS,
Timed Automata, StateCharts, Temporal Logics
and also
many associated analysis techniques, e.g. Model Checking, Theorem
Proving, Stochastic Analysis. I have performed research
on both the theory underlying formal methods and on application of these
methods. I have ongoing research in the following
area.
I have previously worked on a number of other topics, which include the
following.
General Topics
If you are interested to perform research, especially at
level, in any of these areas,
mail me.
The following are
particular suggestions for PhD work:
The following pages give further general
information about my teaching and research activities:
- A list of organizations
and events I have been involved with
(programme committee memberships etc).
- A list of (current and past) PhD students.
- A list of the projects I am involved with.
- Authored books:
- Edited books:
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FMOODS'97, IFIP TC6 WG6.1 International Conference on
Formal Methods for Open Object-based Distributed Systems.
Howard Bowman and John Derrick, editors, volume 2,
Canterbury, UK, July 1997. Chapman and Hall.
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Formal Methods Elsewhere. Howard Bowman, editor,
volume 43 of Electronic Notes in Theoretical Computer
Science. Elsevier Science, June 2001. A Satellite
Workshop of FORTE-PSTV-2000 devoted to applications
of formal methods to areas other than communication
protocols and software engineering.
-
Formal methods for distributed processing, a survey of
object-oriented approaches. H. Bowman and J. Derrick,
editors. Cambridge University Press, Cambridge, UK,
September 2001. Copies of this publication can be orderd
here.
-
Proceedings of the eighth neural computation and psychology
workshop, connectionist models of cognition and perception II.
H. Bowman and C. Labiouse, editors, volume 15 of Progress
in Neural Processing, Singapore, April 2004. World Scientific.
Copies of this publication can be ordered
here.
The Matlab code for our
Psychological Review
article can be accessed
here.
Teaching
My teaching is in the are of Cognitive and Computational Neuroscience. Specifically, I teach a course
on how the brain implements the mind. This focuses on the neural networks in the brain, how they compute,
learn and support cognitive capacities, such as, memory perception and language. The key course that
covers this material is Cognitive Neural Networks.
Non-academic Interests
Despite what my friends and family might think, I do have some interests outside academia.
For example, I have in the past done a lot of drawing.