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Titlebook: Economic and Financial Knowledge-Based Processing; Louis F. Pau,Claudio Gianotti Book 1990 Springer-Verlag Berlin Heidelberg 1990 Prolog.a

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书目名称Economic and Financial Knowledge-Based Processing
编辑Louis F. Pau,Claudio Gianotti
视频video
图书封面Titlebook: Economic and Financial Knowledge-Based Processing;  Louis F. Pau,Claudio Gianotti Book 1990 Springer-Verlag Berlin Heidelberg 1990 Prolog.a
描述As banks, financial services, insurances, and economic research units worldwide strive to add knowledge based capabilities to their analyses and services, or to create new ones, this volume aims to provide them with concrete tools, methods and application possibilities. The tutorial component of the book relies on case study illustrations, and on source code in some of the major artificial intelligence languages. The applications related component includes an extensive survey of real projects, and a number of thorough generic methods and tools for auditing, technical analysis, information screens and natural-language front-ends. The research related component highlights novel methods and software for economic reasoning under uncertainty and for fusion of qualitative/quantitative model-based economic reasoning.
出版日期Book 1990
关键词Prolog; artificial intelligence; expert system; information retrieval; intelligence; knowledge; knowledge
版次1
doihttps://doi.org/10.1007/978-3-642-76002-0
isbn_softcover978-3-642-76004-4
isbn_ebook978-3-642-76002-0
copyrightSpringer-Verlag Berlin Heidelberg 1990
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Applications of Artificial Intelligence in banking, financial services and economics,nature of the AI project goals, of the development environments and of project partners (if known). Of course, owing to the fast changes in the field and to implementation experiences, this list cannot be complete nor exhaustive, and can only be up-to-date as of the manuscript completion. The goal i
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Knowledge Representation,or manipulating knowledge. Similarly, computer programs with problem-solving capabilities (intelligent computer agents) must have specific knowledge about the task they are designed for, and capabilities for efficiently manipulating such knowledge. The following example elaborates on the role of kno
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Search and causal analysis,anipulation. We also stressed how each knowledge representation formalism limits the set of allowable symbolic structures and manipulations, thus enforcing a consistent abstraction of the real world and/or achieving useful properties. In this chapter we deal with search, i.e. the general problem of
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Trade selection with uncertain reasoning on technical indicators,e, with formal mechanisms for deriving new knowledge from the available one. This Chapter provides one important extension to this view, by highlighting that said structures may have ., qualifying the validity resp. applicability of a given structure in given situations. More precisely, uncertainty
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