Expert Systems-A Practical Introduction

Sell, Peter S.; Arcidiacono, Tom

doi:10.1109/mex.1987.4307041

Cited by 5 publications

(5 citation statements)

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“…Simple knowledgebased systems may be formed around straightforward if-then rule bases. For example, a system could be built around the Macartney rose problem featured in Figure 3 by developing the appropriate decision rules [see Starfield and Bleloch (1986), Harmon and King (1985), Naylor (1983), and Sell (1985) for discussion of rule development].…”

Section: An Expert System Is Regarded As the Embodiment Within A Compmentioning

confidence: 99%

Decision-Analysis Approach to Brush Management Planning: Ramifications for Integrated Range Resources Management

Scifres¹

1987

Journal of Range Management

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Papers published by the Journal of Range Management for many years have been almost entirely reports of results from focused studies designed to test specific hypotheses or to fulfill specific objectives. While this is entirely appropriate for a scientific journal, the Editor and Associate Editors realized the genuine need to publish articles that synthesize results from focused studies into a more general fabric of knowledge, providing greater insight than the sum of information reviewed. It was agreed during 198687 that distinguished scientists should be invited to prepare synthesis papers, and a goal was set to publish one synthesis paper in each volume of the Journal. The Editor and Associate Editors were pleased that Dr. Charles J. Scifres accented their invitation to write the first such paper.

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Section: An Expert System Is Regarded As the Embodiment Within A Compmentioning

confidence: 99%

Decision-Analysis Approach to Brush Management Planning: Ramifications for Integrated Range Resources Management

Scifres¹

1987

Journal of Range Management

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“…They are potentially particularly useful for knowledge acquisition; see, for example, the short discussion on data-mining techniques below. According to Sell (1985), there are four primary sources of knowledge: literature, human specialists, existing models and examples. Schmoldt (1998) initiates attempts to organise the different methods of knowledge acquisition by specifying a conceptual approach known as linguistic-based knowledge analysis to develop lexicons, syntax and semantics for a domain.…”

Section: Other Artificial Intelligence Methodsmentioning

confidence: 99%

Integrated assessment of water resources: Australian experiences

Croke

Ticehurst

Letcher

et al. 2006

Water Resour Manage

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It is widely accepted that water resource management demands an integrated assessment of resource use options, including local and regional impacts on the environment and stakeholders. Multiple issues, stakeholders and scales of system behaviour must be considered, as well as the key disciplines within and between the human and natural sciences. Modelling is a critical tool in integrated assessment. It enables effects of policy interventions, climate forcing and demographics to be predicted (although with some uncertainty), and provides a means of expanding understanding of river basin behaviour. It also acts as a vehicle for social learning among various interest groups. This paper discusses the various frameworks and methods being used for integrated modelling, and their suitability and unfulfilled potential for these purposes. The frameworks include coupled component models, systems dynamics models, metamodels, risk-assessment approaches, Bayesian decision networks, agent-based methods, expert systems and other heuristic knowledge-based techniques. Specific software platforms are not considered but the lessons from software development and implementation are clearly spelt out. The paper presents three Australian case studies in integrated assessment. They vary in their range of catchment/watershed sizes, hydroclimatology, issues of concern and stakeholders engaged. Two of them utilise a coupled component modelling framework and the third a Bayesian decision network approach. The paper illustrates the value, problems and lessons of integrated assessment and modelling. In particular it proposes some Water Resour Manage (2007) 21:351-373 ways to address the challenges of assessing options to obtain more sustainable basin-wide outcomes.

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“…Initially, knowledge elicitation techniques were developed in the context of expert systems, which are software systems designed to solve problems in particular domains much like experts (e.g., Sell, 1985). Consequently, the major focus of knowledge elicitation techniques has been on extracting knowledge from experts in a given domain, with the expectation that the expert's knowledge is maximally organized and tied to its conditions of use.…”

Section: Knowledge Elicitationmentioning

confidence: 99%

Content Preparation and Management for Web Design: Eliciting, Structuring, Searching, and Displaying Information

Proctor¹,

Vu²,

Salvendy³

2002

International Journal of Human-Computer Interaction

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The vast amount of information available through the Web has made it difficult to retrieve information relevant to a specific task. To help ensure that users' interactions with a system are successful, preparation of content and its presentation to users must take into account (a) what information needs to be extracted, (b) the way in which this information should be stored and organized, (c) the methods for retrieving the information, and (d) how the information should be displayed. The goal of this article is to discuss the generic problems facing content preparation and evaluate the current methods available to help remedy them, as well as identify areas in which more research is needed. The material presented in this article was a result of the collective efforts of the participants of a special "white paper" session that was part of the 9th International Conference on Human-Computer Interaction (HCI International 2001).

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Expert Systems-A Practical Introduction

Cited by 5 publications

References 0 publications

Decision-Analysis Approach to Brush Management Planning: Ramifications for Integrated Range Resources Management

Decision-Analysis Approach to Brush Management Planning: Ramifications for Integrated Range Resources Management

Integrated assessment of water resources: Australian experiences

Content Preparation and Management for Web Design: Eliciting, Structuring, Searching, and Displaying Information

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