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

Fibromyalgia

書(shū)目名稱(chēng)Building Knowledge-Based Systems for Natural Resource Management影響因子(影響力)




書(shū)目名稱(chēng)Building Knowledge-Based Systems for Natural Resource Management影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Building Knowledge-Based Systems for Natural Resource Management網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Building Knowledge-Based Systems for Natural Resource Management網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Building Knowledge-Based Systems for Natural Resource Management被引頻次




書(shū)目名稱(chēng)Building Knowledge-Based Systems for Natural Resource Management被引頻次學(xué)科排名




書(shū)目名稱(chēng)Building Knowledge-Based Systems for Natural Resource Management年度引用




書(shū)目名稱(chēng)Building Knowledge-Based Systems for Natural Resource Management年度引用學(xué)科排名




書(shū)目名稱(chēng)Building Knowledge-Based Systems for Natural Resource Management讀者反饋




書(shū)目名稱(chēng)Building Knowledge-Based Systems for Natural Resource Management讀者反饋學(xué)科排名

Coeval

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.

咯咯笑

整頓

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

AUGUR

Ordnance

表皮

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

Interdict

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

nurture

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

先兆

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