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My current research is investigating the link between husbandry
regime and otter behaviour for Asian Small-Clawed Otters (Aonyx
cinereus). It forms part of a larger framework, called the KASBAH
project, looking at how this relationship might be manipulated
in order to produce desirable behaviour patterns and reduce undesirable
ones (such as stereotypies), especially for unfamiliar exotics.
It is hoped that the end result will be a tool that the less
experienced keeper or institution can use to optimally tune their
regimes, but that is a long way down the line. I am an honorary
research associate at Bristol Vet School, working with Professor
John Webster and Dr Mike Mendl.
The actual mechanics of a visit are as follows:
I like to arrive as soon as keepers get on site, and stay
until they leave. I stand by the otter enclosure, and make
focal observations at one minute intervals throughout the day.
When the otters have their afternoon snooze (hoping that they
do!), I have about an hour's chat with
their primary caregiver to discuss their husbandry regime, and
the reasoning behind it. If anyone else is interested in the
otters, I would like to speak to them too! These observations
and recorded facts are then stored electronically and become
the base data for KASBAH. I visit each set of otters at
least three times at different seasons (and hence weather, visitor
numbers etc). The whole visit follows a formal, written
protocol, so that like can be compared with like.
The KASBAH Framework
The essence
of the KASBAH proposal is the construction of a knowledge-based system (KBS)
that can capture a wide range of quantitative and qualitative information
about the Asian Short-Clawed Otter (Amblonyx cinereus). The
information sources will include wild and captive behavioural studies,
captive animal welfare information (some of which may be case study,
informal observational or anecdotal in nature) and physiological results.
Such a KBS involves the integration of information (often by deriving a
set of underlying rules or by identifying patterns in the data) for
presentation to a range of users. Typically the corpus of information is
expected to be dynamic and growing rather than a static entity best
handled by a conventional data-base approach. However, a pragmatic
approach will be adopted: this is not a specific technology looking for an
application. User interaction with the system is expected, for
convenience, to be via a Web front-end for both input and output.
The overall approach proposed has been successfully used at the
Laboratory for a range of application areas- to date addressing physical
or engineering rather than behavioural systems. The approach is iterative:
moving towards a refinement of the system in conjunction with users.
Following an initial specification and system architectural design stage,
an initial corpus will be collected. This corpus will be derived from such
sources as books, journals broadcast and other media, interviews
(including informal conversation and anecdotal evidence). The interviews
will be with experienced observers of the otter in the wild, successful
keepers, animal behaviour / welfare specialists.
A variety of IT tools (including pattern recognition, data-mining,
case-based reasoning and classification techniques) will be used to derive
"patterns" or "rules" in the corpus that can be built
up as an empirical model of "the otter". This model can be used,
with its Web-based front-end, as a general retrieval system ("what is
known about X") as well as a more specific environment assessment
system (derived from work at the Laboratory on explanation based systems).
The main aims of the proposed KASBAH work are:
- to provide a computing system that will systematise a large and
varied corpus of (primarily behavioural) information about the otter
into a useful tool to provide appropriate information and knowledge
for a range of end users (including zoologists, veterinarians and
professional keepers);
- to satisfy an expressed need from professional animal keepers for
such a tool: with the primary objective being improvement of the
conditions of captive otters;
- to use a range of computing methodologies to produce an exemplar
information system for biological applications, with the longer-term
aim of producing a methodology with an associated technology that can
be used for other species and application areas.
If this process is successful for Otters, it will be repeated for a
dissimilar species, the Zebra, to give some indication as to whether
it will be more generally useful.
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