Author:
Publisher:
ISBN:
Category : Automatic control
Languages : en
Pages : 648

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Author:
Publisher:
ISBN:
Category : Mechanics, Applied
Languages : en
Pages : 1072

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Author: E.N. Houstis
Publisher: Elsevier
ISBN: 0444599231
Category : Computers
Languages : en
Pages : 378

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Book Description
Most of the well-known mathematical software systems are batch oriented, though in the past few years there have been attempts to incorporate ``knowledge'' or ``expertise'' into these systems. A number of developments have helped in making the systems more powerful and user-friendly: algorithm/parameter selection for the solution of well-defined mathematical engineering problems; parallel computing; computer graphics technology; interface development tools; and of course the years of experience with these systems and the increase in available computing power have made it practical to fulfill the potential seen in the early years of their development.This book covers four main areas of the subject: Application Oriented Expert Systems, Advisory Systems, Knowledge Manipulation Issues, and User Interfaces.

Author:
Publisher:
ISBN:
Category : Technology
Languages : en
Pages : 548

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Author:
Publisher:
ISBN:
Category : Periodicals
Languages : en
Pages : 1488

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A union list of serials commencing publication after Dec. 31, 1949.

Author: Amihai Motro
Publisher: Springer Science & Business Media
ISBN: 1461562457
Category : Computers
Languages : en
Pages : 473

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As its title suggests, "Uncertainty Management in Information Systems" is a book about how information systems can be made to manage information permeated with uncertainty. This subject is at the intersection of two areas of knowledge: information systems is an area that concentrates on the design of practical systems that can store and retrieve information; uncertainty modeling is an area in artificial intelligence concerned with accurate representation of uncertain information and with inference and decision-making under conditions infused with uncertainty. New applications of information systems require stronger capabilities in the area of uncertainty management. Our hope is that lasting interaction between these two areas would facilitate a new generation of information systems that will be capable of servicing these applications. Although there are researchers in information systems who have addressed themselves to issues of uncertainty, as well as researchers in uncertainty modeling who have considered the pragmatic demands and constraints of information systems, to a large extent there has been only limited interaction between these two areas. As the subtitle, "From Needs to Solutions," indicates, this book presents view points of information systems experts on the needs that challenge the uncer tainty capabilities of present information systems, and it provides a forum to researchers in uncertainty modeling to describe models and systems that can address these needs.

Author:
Publisher:
ISBN:
Category : Engineering instruments
Languages : en
Pages : 554

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Author:
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ISBN:
Category : Aeronautics
Languages : en
Pages : 498

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Author: Bruce D'Ambrosio
Publisher: Springer Science & Business Media
ISBN: 1461396719
Category : Computers
Languages : en
Pages : 166

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8. 5 Summary In this chapter we have identified three basic patterns of influences that lead to ambiguity in the QP analysis of the basic active furnace state. We have then shown how modification of these patterns, by adding equilibrium values and sensitivity annotations on influence arcs, could permit resolu tion of the ambiguities. Finally, we have described in detail the extensions needed to the basic influence resolution algorithm in QP theory to oper ate on these extended descriptions. We have also shown that the modified influence resolution algorithm corrects an error in Forbus' original method for combining influences. We have then presented an extended example in which introduction of equilibrium assumptions eliminates all ambigu ity in the influence resolution deduction. In the next chapter we extend these techniques further, by developing a qualitative perturbation analysis technique that permits us to answer "what ir' control questions; then we extend this technique to obtain quantitative, as well as qualitative, effects of hypothetical control actions. 8.

Author: Thomas Laffey
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 206

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