Human-Machine Cooperation with Epistemological DBs: Supporting User Corrections to Knowledge Bases
نویسندگان
چکیده
Knowledge bases (KB) provide support for real-world decision making by exposing data in a structured format. However, constructing knowledge bases requires gathering data from many heterogeneous sources. Manual efforts for this task are accurate, but lack scalability, and automated approaches provide good coverage, but are not reliable enough for realworld decision makers to trust. These two approaches to KB construction have complementary strengths: in this paper we propose a novel framework for supporting humanproposed edits to knowledge bases.
منابع مشابه
Adaptive Support for Human-Computer Teams
Increasing machine intelligence leads to a shift from a mere interactive to a much more complex cooperative human-machine relation requiring a multidisciplinary development approach. This paper presents a generic multidisciplinary cognitive engineering method CE+ for the integration of human factors and artificial intelligence in the development of human-machine cooperation. Four case-studies a...
متن کاملAdaptive Support for Human-Computer Teams Exploring the Use of Cognitive Models of Trust and Attention
Increasing machine intelligence leads to a shift from a mere interactive to a much more complex cooperative human-machine relation requiring a multidisciplinary development approach. This paper presents a generic multidisciplinary cognitive engineering method CE+ for the integration of human factors and artificial intelligence in the development of human-machine cooperation. Four case-studies a...
متن کاملIntegrating Human Factors and Artificial Intelligence in the Development of Human-Machine Cooperation
Increasing machine intelligence leads to a shift from a mere interactive to a much more complex cooperative humanmachine relation requiring a multidisciplinary development approach. This paper presents a generic multidisciplinary cognitive engineering method CE+ for the integration of human factors and artificial intelligence in the development of human-machine cooperation. Four case-studies ar...
متن کاملA System Implementing Cooperation in Multi-Agent Networks
In Multi-Agent Systems the main goal is providing fruitful cooperation among agents in order to enrich the support given to user activities. Cooperation can be implemented in many ways, depending on how local knowledge of agents is represented and consists in general in providing to the user an integrated view of individual knowledge bases. But the main difficulty is determining which agents ar...
متن کاملThe Role of Implicit Intelligence Theories, Supporting Autonomy and Epistemological Beliefs in Predicting Academic Engagement of Students
Introduction: The purpose of this study was to investigate the implicit intuition of theories, support for autonomy and epistemological beliefs in predicting academic engagement among students. Methods: The research method was descriptive correlational. The statistical population of this study consisted of all students of Payame Noor University of Tabriz in the academic year of 2017-2018. Accor...
متن کامل