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Titlebook: Building Knowledge-Based Systems for Natural Resource Management; Daniel L. Schmoldt,H. Michael Rauscher Book 1996 Chapman & Hall 1996 art

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发表于 2025-3-21 17:41:51 | 显示全部楼层 |阅读模式
期刊全称Building Knowledge-Based Systems for Natural Resource Management
影响因子2023Daniel L. Schmoldt,H. Michael Rauscher
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图书封面Titlebook: Building Knowledge-Based Systems for Natural Resource Management;  Daniel L. Schmoldt,H. Michael Rauscher Book 1996 Chapman & Hall 1996 art
影响因子If one were forced to use a single key word to describe the decade of the 1980‘s, a very prominent one would be "technology. " Leading the forefront of tech­ nology advancement were breakthroughs in electronics. Devices that were uncommon or unknown in 1980 became commonplace, and almost indispens­ able, by 1989. This trend has continued into the 1990‘s and it does not seem to be abating in any way. Microwave ovens, video recorders, telephone answer­ ing machines, compact disc players, computers, and a host of smaller or less sophisticated devices now appear in most households. The development of small and inexpensive computers, i. e. , personal computers, has placed computing resources within reach of many more people. In addition, many traditional, and largely mechanical devices, have been enhanced by electronics. For example, specialized microprocessors are combined with arrays of electronic sensors to control and monitor sophisticated engineering components in most new auto­ mobiles. In this and many other ways, we are touched by the new electronics in almost every aspect of our daily lives. Initially, personal computers were little more than toys. They contained only a small f
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Knowledge-Based Systems: Representation and Search,. This chapter and the next will focus more closely on those ideas and introduce new ones using the more comprehensive knowledge-based system architecture in Figure 2–1. Examples of specific implementations of these concepts (using the Prolog language) can be found in chapters 7, 8 and 9.
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Planning the Application,roblems (chapter 1) and a look at the major components of knowledge-based systems (chapters 2 & 3). Now, in chapters 4–6 we turn our attention to the detailed steps of planning and designing a knowledge-based system, and acquiring and organizing the necessary knowledge to implement it. System implem
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Programming Knowledge Systems in PROLOG,apter 6, and selecting PROLOG as our major AI development tool, we need to pause before continuing to develop prototype systems in chapter 8 and 9 (Figure 8–1). In the present chapter, we discuss the strengths and weaknesses of PROLOG and provide an introduction of the main elements of the PROLOG la
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An Initial Prototype Using Native PROLOG,g the knowledge model (Figure 8–1). This model is detailed in section 6.1.1 (Figure 8–2). Having decided to implement the knowledge model in PROLOG, we must still choose between two major paradigms. On the one hand, we can implement the knowledge model using . as the inference mechanism and predicat
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A PROLOG Toolkit Approach to Developing Forest Management Knowledge-Based Systems,mit ourselves to native PROLOG were discussed. In this chapter, we will look at how to use meta-PROLOG programming methods to build forest management KBS using a toolkit called DSSTOOLS. We will continue to use the Red Pine Forest Management Advisory System (RP-FMAS) introduced earlier as our implem
发表于 2025-3-23 05:48:27 | 显示全部楼层
System Evaluation and Delivery,computer, and how much the user retains. This is an extremely important philosophical question with profound social and legal implications. The issue has not been forced to the forefront before now because conventional computer programs have been used primarily to report objective results based on a
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