Abstract: The ideals of equestrian technique combine art and science. Therefore students of equitation
encounter measurable variables such as rhythm, tempo and impulsion alongside more ethereal ones
such as outline and harmony. This mixture accounts for many of the idiosyncrasies of equestrianism
including the subjective scoring of performance in dressage tests, the elusiveness of perfection even at
an elite level of competition and the difficulty of expressing equestrian technique in empirical terms
(Roberts, 1992).
This chapter will describe and offer examples of the unwelcome behavioural responses horses
produce under saddle. Two broad sections are then proposed to allow the reader to consider
unwelcome behavioural responses caused directly by humans as distinct from those attributable more
to the horse than the rider. Ultimately the responsibility for problems in the ridden horse lies with
humans since we have undertaken the domestication and exploitation of equids. Therefore it is
accepted that the dichotomy is not absolute. The chapter closes with a

Abstract: Animal flight behaviour in response to aircraft could have a profound influence
on the accuracy and precision of aerial estimates of population size but is rarely
investigated. Using independent observers on the ground and in the air we
recorded the presence and behaviour of 17 groups, including 136 individually
marked horses, during a helicopter count in New Zealand’s Kaimanawa
Mountains. We also compared the helicopter count with ground-based
estimates using mark-resight and line-transect methods in areas ranging from
20.5 to 176 km2. Helicopter counts were from 16% smaller to 54% larger than
ground-based estimates. The helicopter induced a flight response in all horse
groups monitored. During flight, horse groups traveled from 0.1 up to 2.75 km
before leaving the ground observer’s view and temporarily changed in size and
composition. A tenth of the horses were not counted and a quarter counted
twice. A further 23 (17%) may have been counted twice but only two of the
three observers’ records concurred. Thus, the helicopter count over-estimated
the marked sub-population by at least 15% and possibly by up to 32%. The net
over-estimate of the marked sub-population corresponded to the 17% and 13%
difference between helicopter counts and ground-based estimates in the central
study area and for the largest area sampled, respectively. Feral horse flight
behaviour should be considered when designing methods for population
monitoring using aircraft. We identify the characteristics of the helicopter
count that motivated horse flight behaviour. We compared our own recent
estimate of population growth from measures of fecundity and mortality (λ =
1.096 with an earlier-published one (λ = 1.182, where r = 0.167) that had been
derived by interpolating between the available history of single counts. Our
model of population growth, standardised aerial counts, and historical estimates
of annual reproduction suggest that the historical sequence of counts since
1979 probably over-estimated growth because count techniques improved and
greater effort was expended in successive counts. We used line-transect, markresight
and dung density sampling methods for population monitoring and
discuss their advantages and limitations over helicopter counts.

Abstract: The last two decades have seen a great deal of theorising and speculation about
the modular nature of human intelligence, as well as a rise in use of modular
architectures in artificial intelligence. Nevertheless, whether such models of natural
intelligence are well supported is still an issue of debate. In this paper, I propose
that the most important criteria for modularity is specialised representations. I
present a modular model of primate learning of the transitive inference task, and
propose an extension to this model which would explain task-learning results in
other domains. I also briefly relate this work to both neuroscience and established
AI learning architectures.