603,793 research outputs found

    Embodied Evolution in Collective Robotics: A Review

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    This paper provides an overview of evolutionary robotics techniques applied to on-line distributed evolution for robot collectives -- namely, embodied evolution. It provides a definition of embodied evolution as well as a thorough description of the underlying concepts and mechanisms. The paper also presents a comprehensive summary of research published in the field since its inception (1999-2017), providing various perspectives to identify the major trends. In particular, we identify a shift from considering embodied evolution as a parallel search method within small robot collectives (fewer than 10 robots) to embodied evolution as an on-line distributed learning method for designing collective behaviours in swarm-like collectives. The paper concludes with a discussion of applications and open questions, providing a milestone for past and an inspiration for future research.Comment: 23 pages, 1 figure, 1 tabl

    Effective youth services: good practice

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    Principles of Good Practice - AFF

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    Principles of good governance and an ethical code of conduct are crucial for ensuring that structures of accountability and transparency are core strengths of our nonprofit community. These guiding principles afford organizations the support they need to pursue their various callings and the flexibility they need to adapt to the changing needs of their communities and their fields of endeavor

    The sustainable delivery of sexual violence prevention education in schools

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    Sexual violence is a crime that cannot be ignored: it causes our communities significant consequences including heavy economic costs, and evidence of its effects can be seen in our criminal justice system, public health system, Accident Compensation Corporation (ACC), and education system, particularly in our schools. Many agencies throughout New Zealand work to end sexual violence. Auckland-based Rape Prevention Education: Whakatu Mauri (RPE) is one such agency, and is committed to preventing sexual violence by providing a range of programmes and initiatives, information, education, and advocacy to a broad range of audiences. Up until early 2014 RPE employed one or two full-time positions dedicated to co-ordinating and training a large pool (up to 15) of educators on casual contracts to deliver their main school-based programmes, BodySafe – approximately 450 modules per year, delivered to some 20 high schools. Each year several of the contract educators, many of whom were tertiary students, found secure full time employment elsewhere. To retain sufficient contract educators to deliver its BodySafe contract meant that RPE had to recruit, induct and train new educators two to three times every year. This model was expensive, resource intense, and ultimately untenable. The Executive Director and core staff at RPE wanted to develop a more efficient and stable model of delivery that fitted its scarce resources. To enable RPE to know what the most efficient model was nationally and internationally, with Ministry of Justice funding, RPE commissioned Massey University to undertake this report reviewing national and international research on sexual violence prevention education (SVPE). [Background from Executive Summary.]Rape Prevention Education: Whakatu Maur

    The sustainable delivery of sexual violence prevention education in schools

    Get PDF
    Sexual violence is a crime that cannot be ignored: it causes our communities significant consequences including heavy economic costs, and evidence of its effects can be seen in our criminal justice system, public health system, Accident Compensation Corporation (ACC), and education system, particularly in our schools. Many agencies throughout New Zealand work to end sexual violence. Auckland-based Rape Prevention Education: Whakatu Mauri (RPE) is one such agency, and is committed to preventing sexual violence by providing a range of programmes and initiatives, information, education, and advocacy to a broad range of audiences. Up until early 2014 RPE employed one or two full-time positions dedicated to co-ordinating and training a large pool (up to 15) of educators on casual contracts to deliver their main school-based programmes, BodySafe – approximately 450 modules per year, delivered to some 20 high schools. Each year several of the contract educators, many of whom were tertiary students, found secure full time employment elsewhere. To retain sufficient contract educators to deliver its BodySafe contract meant that RPE had to recruit, induct and train new educators two to three times every year. This model was expensive, resource intense, and ultimately untenable. The Executive Director and core staff at RPE wanted to develop a more efficient and stable model of delivery that fitted its scarce resources. To enable RPE to know what the most efficient model was nationally and internationally, with Ministry of Justice funding, RPE commissioned Massey University to undertake this report reviewing national and international research on sexual violence prevention education (SVPE)

    Analysis of the Correlation Between Majority Voting Error and the Diversity Measures in Multiple Classifier Systems

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    Combining classifiers by majority voting (MV) has recently emerged as an effective way of improving performance of individual classifiers. However, the usefulness of applying MV is not always observed and is subject to distribution of classification outputs in a multiple classifier system (MCS). Evaluation of MV errors (MVE) for all combinations of classifiers in MCS is a complex process of exponential complexity. Reduction of this complexity can be achieved provided the explicit relationship between MVE and any other less complex function operating on classifier outputs is found. Diversity measures operating on binary classification outputs (correct/incorrect) are studied in this paper as potential candidates for such functions. Their correlation with MVE, interpreted as the quality of a measure, is thoroughly investigated using artificial and real-world datasets. Moreover, we propose new diversity measure efficiently exploiting information coming from the whole MCS, rather than its part, for which it is applied
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