10,574 research outputs found
Narrative based Postdictive Reasoning for Cognitive Robotics
Making sense of incomplete and conflicting narrative knowledge in the
presence of abnormalities, unobservable processes, and other real world
considerations is a challenge and crucial requirement for cognitive robotics
systems. An added challenge, even when suitably specialised action languages
and reasoning systems exist, is practical integration and application within
large-scale robot control frameworks.
In the backdrop of an autonomous wheelchair robot control task, we report on
application-driven work to realise postdiction triggered abnormality detection
and re-planning for real-time robot control: (a) Narrative-based knowledge
about the environment is obtained via a larger smart environment framework; and
(b) abnormalities are postdicted from stable-models of an answer-set program
corresponding to the robot's epistemic model. The overall reasoning is
performed in the context of an approximate epistemic action theory based
planner implemented via a translation to answer-set programming.Comment: Commonsense Reasoning Symposium, Ayia Napa, Cyprus, 201
Fusion of aerial images and sensor data from a ground vehicle for improved semantic mapping
This work investigates the use of semantic information to link ground level occupancy maps and aerial images. A ground level semantic map, which shows open ground and indicates the probability of cells being occupied by walls of buildings, is obtained by a mobile robot equipped with an omnidirectional camera, GPS and a laser range finder. This semantic information is used for local and global segmentation of an aerial image. The result is a map where the semantic information has been extended beyond the range of the robot sensors and predicts where the mobile robot can find buildings and potentially driveable ground
Who speaks for the future of Earth? How critical social science can extend the conversation on the Anthropocene
This paper asks how the social sciences can engage with the idea of the Anthropocene in productive ways. In response to this question we outline an interpretative research agenda that allows critical engagement with the Anthropocene as a socially and culturally bounded object with many possible meanings and political trajectories. In order to facilitate the kind of political mobilization required to meet the complex environmental challenges of our times, we argue that the social sciences should refrain from adjusting to standardized research agendas and templates. A more urgent analytical challenge lies in exposing, challenging and extending the ontological assumptions that inform how we make sense of and respond to a rapidly changing environment. By cultivating environmental research that opens up multiple interpretations of the Anthropocene, the social sciences can help to extend the realm of the possible for environmental politics
ROTUNDE - A Smart Meeting Cinematography Initiative: Tools, Datasets, and Benchmarks for Cognitive Interpretation and Control
We construe smart meeting cinematography with a focus on professional
situations such as meetings and seminars, possibly conducted in a distributed
manner across socio-spatially separated groups. The basic objective in smart
meeting cinematography is to interpret professional interactions involving
people, and automatically produce dynamic recordings of discussions, debates,
presentations etc in the presence of multiple communication modalities. Typical
modalities include gestures (e.g., raising one's hand for a question,
applause), voice and interruption, electronic apparatus (e.g., pressing a
button), movement (e.g., standing-up, moving around) etc. ROTUNDE, an instance
of smart meeting cinematography concept, aims to: (a) develop
functionality-driven benchmarks with respect to the interpretation and control
capabilities of human-cinematographers, real-time video editors, surveillance
personnel, and typical human performance in everyday situations; (b) Develop
general tools for the commonsense cognitive interpretation of dynamic scenes
from the viewpoint of visuo-spatial cognition centred perceptual
narrativisation. Particular emphasis is placed on declarative representations
and interfacing mechanisms that seamlessly integrate within large-scale
cognitive (interaction) systems and companion technologies consisting of
diverse AI sub-components. For instance, the envisaged tools would provide
general capabilities for high-level commonsense reasoning about space, events,
actions, change, and interaction.Comment: Appears in AAAI-2013 Workshop on: Space, Time, and Ambient
Intelligence (STAMI 2013
Gender stereotypes and the apology in a small state : uncovering Creole male stereotypes in the Seychelles using digital matched-guise methodology
Recent research in the Seychelles speaks of a “growing crisis of masculinity”, manifested in statistics such as a ten-year life expectancy difference in favour of women, alarmingly high levels of substance abuse amongst younger men, and underachievement of boys in schools. According to the authors, males are generally disempowered by stereotypical views of males as “irresponsible”, “unreliable” and “secondary to women”. Similar gender patterns have been observed in other ex-slavery Creole cultures such as the small states in the Caribbean, and some scholars argue that these structures have historical origins dating back to slavery. In this study, we seek to explore aspects of Seychellois stereotypes of masculinity through so-called matched-guise experiments. Through digital manipulations of voice quality, we produce identity-warped male and female versions of the same monologue recording – a short apology. We then asked respondents to listen to the recordings and respond to the same in a short online questionnaire, where we ask questions relating to their impressions of the apology and the speaker. Dimensions here include honesty-dishonesty; politenessimpoliteness; weakness-strength; and reliability-unreliability. Differences in results of responses to male and female versions of the apology give strong indications that Seychellois stereotypically view males as dishonest, unreliable, lazy and careless. We discuss potential origins and consequences of such constructions, and propose awareness-raising measures for how these destructive historically produced scripts of gender can be rewritten.peer-reviewe
The Relative Importance of Institutional Trust in Countering Feelings of Unsafety in Disadvantaged Neighbourhoods
The segregated nature of urban areas reflects an uneven exposure to risk and unsafety. This article analyzes the relevance of place to people’s feelings of unsafety by comparing questionnaire responses from people living in a segregated, disadvantaged neighbourhood to a random sample of people living in the same city. The results suggest that the central factors explaining the individual’s feelings of unsafety differ in this particular neighbourhood compared to the broader population. The article shows that place has a moderating effect on feelings of unsafety. Trust in public institutions is argued to be particularly important in segregated, disadvantaged neighbourhoods because of its potential to prevent feelings of unsafety
Between Sense and Sensibility: Declarative narrativisation of mental models as a basis and benchmark for visuo-spatial cognition and computation focussed collaborative cognitive systems
What lies between `\emph{sensing}' and `\emph{sensibility}'? In other words,
what kind of cognitive processes mediate sensing capability, and the formation
of sensible impressions ---e.g., abstractions, analogies, hypotheses and theory
formation, beliefs and their revision, argument formation--- in domain-specific
problem solving, or in regular activities of everyday living, working and
simply going around in the environment? How can knowledge and reasoning about
such capabilities, as exhibited by humans in particular problem contexts, be
used as a model and benchmark for the development of collaborative cognitive
(interaction) systems concerned with human assistance, assurance, and
empowerment?
We pose these questions in the context of a range of assistive technologies
concerned with \emph{visuo-spatial perception and cognition} tasks encompassing
aspects such as commonsense, creativity, and the application of specialist
domain knowledge and problem-solving thought processes. Assistive technologies
being considered include: (a) human activity interpretation; (b) high-level
cognitive rovotics; (c) people-centred creative design in domains such as
architecture & digital media creation, and (d) qualitative analyses geographic
information systems. Computational narratives not only provide a rich cognitive
basis, but they also serve as a benchmark of functional performance in our
development of computational cognitive assistance systems. We posit that
computational narrativisation pertaining to space, actions, and change provides
a useful model of \emph{visual} and \emph{spatio-temporal thinking} within a
wide-range of problem-solving tasks and application areas where collaborative
cognitive systems could serve an assistive and empowering function.Comment: 5 pages, research statement summarising recent publication
Towards a reflexive turn in the governance of global environmental expertise the cases of the IPCC and the IPBES
The role and design of global expert organizations such as the Intergovernmental Panel on Climate Change (IPCC) or the Intergovernmental Platform on Biodiversity and Ecosystem Services (IPBES) needs rethinking. Acknowledging that a one-size-fits-all model does not exist, we suggest a reflexive turn that implies treating the governance of expertise as a matter of political contestation
Improved data association and occlusion handling for vision-based people tracking by mobile robots
This paper presents an approach for tracking multiple persons using a combination of colour and thermal vision sensors on a mobile robot. First, an adaptive colour model is incorporated into the measurement model of the tracker. Second, a new approach for detecting occlusions is introduced, using a machine learning classifier for pairwise comparison of persons (classifying which one is in front of the other). Third, explicit occlusion handling is then incorporated into the tracker
Miniversal deformations of pairs of symmetric matrices under congruence
For each pair of complex symmetric matrices we provide a normal form
with a minimal number of independent parameters, to which all pairs of complex
symmetric matrices , close to can be
reduced by congruence transformation that smoothly depends on the entries of
and . Such a normal form is called a miniversal
deformation of under congruence. A number of independent parameters in
the miniversal deformation of a symmetric matrix pencil is equal to the
codimension of the congruence orbit of this symmetric matrix pencil and is
computed too. We also provide an upper bound on the distance from to
its miniversal deformation.Comment: arXiv admin note: text overlap with arXiv:1104.249
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