The evolution of AI systems from expert systems, knowledge-based systems, joint cognitive systems, intelligent systems, intelligent assistant systems (IASs) and the coming generation of Context-based IASs (CIASs). The authors found there are beneficial lessons and inspirations which have the potential to bring practical benefits as a result of this process.Ĭontext-based Assistant Systems: First Results This article selected some natural contexts and use them as an inspiration to highlight possible improvements on how contexts are designed and used in computer science. Little has been published on connecting contexts as they are handled in natural systems and in computer science. This paper proposes QoC and CoC metrics and introduces a conceptual architecture to achieve the QoC and CoC awareness in CMPs, aiming to improve their efficiency and consumer experience. Furthermore, the CMPs might have limited abilities to incorporate efficient QoC drivers and a suboptimal selection of QoC-aware context providers. Towards Measurable Efficient and Effective Metrics for Quality and Cost of ContextÄespite the potential benefits of the context-driven intelligence delivered by Context Management Platforms (CMP), the lack of efficient and effective metrics for measuring Quality and Cost of Context (QoC and CoC) hinders them from uptake and commercialisation. We then give three illustrative examples of pragmatic approaches leading to implementations. After briefly discussing the evolution of the research on context in the past 25+ years, we describe the case for a focus on pragmatic research (e.g., applications) going forward. We argue for the centrality of a pragmatic approach to modeling and using context as a means of unifying research along all axes of context-related research: formal, cognitive, and pragmatic. Pragmatic Research on Context Modeling and Use It is unique in focusing on context as a subject of study in its own right, and it has become one of the top venues for context-related research. ![]() The CONTEXT conference series has brought together researchers and practitioners from a wide range of disciplines and industries to present their work related to issues of context, contextual reasoning, and context-awareness to discuss commonalities and diversities in the different disciplinary approaches.
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