摘要:

In order to buy merchandise for resale to the consumer efficiently, the retail buyer must consider economic factors as well as the potential investment returns of the merchandise. A merchandise investment returns knowledge base, called MIR, is developed on the basis of the perceptions of an expert buyer. MIR incorporates an expert buyer's knowledge of men's wear in regard to the relationship between economic factors, the economic outlook, and merchandise investment returns. MIR is implemented in an object-oriented, multiwindow, menu-driven environment to facilitate further system expansion. The long-term goal of the approach is to integrate the MIR knowledge base with related applications to support decision making throughout the life cycle of different classifications of merchandise.

ISSN:0883-9514    

DOI:10.1080/08839519308949985

出版商:Taylor & Francis Group    

年代:1993

数据来源: Taylor

摘要:

This paper proposes the use of semiqualitative modeling for reasoning in probabilistic networks. Semiqualitative modeling is a generalization of qualitative modeling that refines the set of intervals in which values may be expressed. The advantage of semiqualitative modeling of probabilistic reasoning over more traditional methods is that a semiqualitative model can cope with incomplete and imprecise information that would prevent a more traditional model from functioning. The semi-qualitative analysis of a well-known example from the literature is presented, and conclusions about the general use of semiqualitative modeling in reasoning under uncertainty is discussed.

ISSN:0883-9514    

DOI:10.1080/08839519308949986

出版商:Taylor & Francis Group    

年代:1993

数据来源: Taylor

摘要:

The techniques of formal specification and refinement of specifications into implementations are beginning to have an impact on the development of computer software. The ideal of software engineering is that programs may be proved correct with respect to their specifications. In principle, this is achievable for many applications. However, techniques for the specification and development of AI applications are not so welt defined at present. Part of the problem is that it is not always clear what should be specified. Motivated by an informal legal liability study, we present a requirements analysis of the aspects that should be covered by the formal specification. The discussion is focused on the specification of a medical decision support system, but the arguments are generally valid. In particular, we will argue that it is especially important to take a more holistic approach and consider the specification of both the system and its environment.

ISSN:0883-9514    

DOI:10.1080/08839519308949987

出版商:Taylor & Francis Group    

年代:1993

数据来源: Taylor

摘要:

This paper presents the principles of the semantic analysis used in a system for the summary of economic surveys. We will focus on the conceptual representation that is based on semantic primitives. Because of the different relations (casual or structural links) between concepts, this model is powerful in the representation of language structural properties. Besides, the summary goal allows a proper definition of significant features necessary for the elaboration of a taxonomy. The requested adaptability to various and overlapping economic domains induces a hierarcfucal organization of primitives sets. The notion of reference then allows the definition of contextual links between concepts. The analysis is composed of two phases. The first one is syntactico-semantic and builds a conceptual representation of the sentence content according to the conceptual graphs formalism. The second one, essentially pragmatic, removes the paraphrastic structures that would not be detected by the syntactico-semantic phase and leads to a synthesis network.

ISSN:0883-9514    

DOI:10.1080/08839519308949988

出版商:Taylor & Francis Group    

年代:1993

数据来源: Taylor

摘要:

Inductive learning algorithms have frequently been applied to the problem of learning medical diagnostic rules. Most learning algorithms use an attribute-value language to describe training examples and induced rules. Consequently, the background knowledge that can be used in the learning process is of a very restricted form. To overcome these limitations, the inductive learning system LINUS incorporates attribute-value learners into a more powerful logic programming framework in which background knowledge can be used effectively. This paper describes the application of LINUS to the problem of learning rules for early diagnosis of rheumatic diseases. In addition to the attribute-value descriptions of patient data, LINUS was given background knowledge provided by a medical specialist. Medical evaluation of the rules induced by UNUS using the CN2 attribute-value learner and measurements of their performance in terms of classification accuracy and information content show that the use of background knowledge substantially improves the quality of induced rules.

ISSN:0883-9514    

DOI:10.1080/08839519308949989

出版商:Taylor & Francis Group    

年代:1993

数据来源: Taylor

ISSN:0883-9514    

DOI:10.1080/08839519308949991

出版商:Taylor & Francis Group    

年代:1993

数据来源: Taylor