3,548 research outputs found

    Protocol Requirements for Self-organizing Artifacts: Towards an Ambient Intelligence

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    We discuss which properties common-use artifacts should have to collaborate without human intervention. We conceive how devices, such as mobile phones, PDAs, and home appliances, could be seamlessly integrated to provide an "ambient intelligence" that responds to the user's desires without requiring explicit programming or commands. While the hardware and software technology to build such systems already exists, as yet there is no standard protocol that can learn new meanings. We propose the first steps in the development of such a protocol, which would need to be adaptive, extensible, and open to the community, while promoting self-organization. We argue that devices, interacting through "game-like" moves, can learn to agree about how to communicate, with whom to cooperate, and how to delegate and coordinate specialized tasks. Thus, they may evolve a distributed cognition or collective intelligence capable of tackling complex tasks.Comment: To be presented at 5th International Conference on Complex System

    IN DIVISION I HOCKEY, DOES THE PUCK STOP JUNIOR YEAR?

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    The 2004-2005 National Hockey League (NHL) lockout has had a twofold effect on men’s Division I college hockey programs. First, NHL entry-level contracts are now much less expensive than they were before the lockout. As a consequence, NHL teams are now more inclined to induce Division I hockey players to forego years of remaining eligibility. Second, the age of unrestricted free agency has dropped, encouraging rookies to begin their NHL career at a younger age. The authors show that there has been not only a surge in the number of Division I college players who have signed NHL contracts in the two years after 2004-2005 lockout than in the two years before the lockout, but since the lockout disproportionately more NHL bound college players have left college in their junior year.

    Modelling psychological responses to the great East Japan earthquake and nuclear incident

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    This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited - Copyright @ 2012 Goodwin et al.This article has been made available through the Brunel Open Access Publishing Fund.The Great East Japan (Tōhoku/Kanto) earthquake of March 2011was followed by a major tsunami and nuclear incident. Several previous studies have suggested a number of psychological responses to such disasters. However, few previous studies have modelled individual differences in the risk perceptions of major events, or the implications of these perceptions for relevant behaviours. We conducted a survey specifically examining responses to the Great Japan earthquake and nuclear incident, with data collected 11-13 weeks following these events. 844 young respondents completed a questionnaire in three regions of Japan; Miyagi (close to the earthquake and leaking nuclear plants), Tokyo/Chiba (approximately 220 km from the nuclear plants), and Western Japan (Yamaguchi and Nagasaki, some 1000 km from the plants). Results indicated significant regional differences in risk perception, with greater concern over earthquake risks in Tokyo than in Miyagi or Western Japan. Structural equation analyses showed that shared normative concerns about earthquake and nuclear risks, conservation values, lack of trust in governmental advice about the nuclear hazard, and poor personal control over the nuclear incident were positively correlated with perceived earthquake and nuclear risks. These risk perceptions further predicted specific outcomes (e.g. modifying homes, avoiding going outside, contemplating leaving Japan). The strength and significance of these pathways varied by region. Mental health and practical implications of these findings are discussed in the light of the continuing uncertainties in Japan following the March 2011 events

    Knowledge modeling for software design

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    This paper develops a modeling framework for systems engineering that encompasses systems modeling, task modeling, and knowledge modeling, and allows knowledge engineering and software engineering to be seen as part of a unified developmental process. This framework is used to evaluate what novel contributions the 'knowledge engineering' paradigm has made and how these impact software engineering
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