File Name: conceptual structures information processing in mind and machine .zip
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To rebalance human creativity with computational execution, meta-models have been broken down into components then coupled together by interfaces analogous to the software engineering principles found in object-oriented design. In Enterprise Architecture, the meta-models have been modularised into layers and levels that collectively describe how a business works. A study describes the benefits of this approach Bork, Add to Cart. Instant access upon order completion. Free Content.
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Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. Acquiring and managing knowledge using a conceptual structures approach: introduction and framework Abstract: One powerful representational system-conceptual structures that continue the trend towards knowledge programming-is examined. Sowa's conceptual structures approach Conceptual Structures: Information Processing in Mind and Machine, Addison-Wesley, NY, , a graph-based semantic network, is a general representational system with a natural-language expressivity.
The purpose of this article is to analyze semantic relations based on graph-independent structural analysis in VocBench. The mix-method of deductive and inductive approach is adapted in operating the research methodology, especially for data collection. The research data are structural domains of semantic relations in ontologies. VocBench includes around concepts. The sample size is around concepts.
PDF | On Jan 1, , William J. Clancey published J. F. Sowa, Conceptual Structures - Information Processing in Mind and Machine [Systems Programming.
The book Conceptual Structures: Information Processing in Mind and Machine surveyed the state of the art in artificial intelligence and cognitive science in the early s and outlined a cognitive architecture as a foundation for further research and development. The basic ideas stimulated a broad range of research that built on and extended the original topics. This paper reviews that architecture and compares it to four other cognitive architectures with their roots in the same era: Cyc, Soar, Society of Mind, and Neurocognitive Networks. The concluding section surveys the VivoMind Cognitive Architecture, which builds on and extends the original version presented in the CS book. Unable to display preview.
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