R1: a rule-based configurer of computer systems
TL;DR: R1 is a program that configures VAX-11/780 computer systems and uses Match as its principal problem solving method; it has sufficient knowledge of the configuration domain and of the peculiarities of the various configuration constraints that at each step in the configuration process, it simply recognizes what to do.
About: This article is published in Artificial Intelligence.The article was published on 1982-09-01. It has received 1001 citations till now. The article focuses on the topics: Configuration Management (ITSM) & Knowledge-based configuration.
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TL;DR: An approach for the design of intelligent systems for traffic control is presented, and the problem characteristics and the possible knowledge representation techniques are proposed.
Abstract: Presents an approach for the design of intelligent systems for traffic control. The article first discusses the type of problems to be modeled ( behavior in networks and main flow axes). Secondly an approach to the knowledge representation is proposed. Although specific traffic aspects are discussed, the proposed approach can be understood in a more general way as a general reasoning concept for an architecture for management purposes.
2 citations
01 Jan 2014
TL;DR: This chapter describes and discusses Context-Based Reasoning (CxBR), a human behavior representation paradigm based on context and designed for use in modeling tactical reasoning.
Abstract: This chapter describes and discusses Context-Based Reasoning (CxBR), a human behavior representation paradigm based on context and designed for use in modeling tactical reasoning. This chapter describes CxBR both formally and informally, and discusses experiences in developing and applying this concept, its advantages and its opportunities for improvement.
2 citations
01 Jan 1989
TL;DR: This chapter presents the design and construction of knowledge-based systems from prototyping to refinement, and it is particularly important that a more systematic understanding of problem solving tasks be developed in relation to both surface models of compiled expertise and underlying models of scientific reasoning.
Abstract: Publisher Summary This chapter presents the design and construction of knowledge-based systems from prototyping to refinement. Designing and constructing an expert system depends on the type of problem solving that the system is trying to carry out. Despite the great variety of reasoning modalities employed in expert problem solving, most expert systems are designed to capture advice-giving or interpretive knowledge about how a problem is to be solved. The ultimate success of an expert system depends on acceptable proof that it is helping solve a problem more efficiently and effectively than available, though possibly nonexpert human counterparts, simple measurement of economic gain may suffice to demonstrate the advantages of the technological solution. However, because of the social repercussions of automation, and the ethical concerns about the correct application of codified human judgments, it is essential that the technical advances of the present generation of expert systems not obscure the great need for new insights into knowledge representation, reasoning, and the underlying semantics of knowledge bases. It is particularly important that a more systematic understanding of problem solving tasks be developed in relation to both surface models of compiled expertise and underlying models of scientific reasoning.
2 citations
01 Jan 1992
TL;DR: In this article, the authors focus on the methodological and sociological factors that increasingly may affect the success of research into intelligent tutoring systems, including the limited number of success models, lack of shared perspectives among researchers, the inability to transfer methods and results between research projects, the field's weak theoretical foundations, the inadequate methodologies used to validate research, the poor research and reporting practices of researchers, and the lack of understanding of intelligent tutors by people external to the field.
Abstract: This paper is concerned with basic methodological and sociological factors which increasingly may affect the success of research into intelligent tutoring systems. In particular, seven factors which could impede progress in the field are presented: the limited number of success models, the lack of shared perspectives among researchers, the inability to transfer methods and results between research projects, the field’s weak theoretical foundations, the inadequate methodologies used to validate research, the poor research and reporting practices of researchers, and the lack of understanding of intelligent tutoring systems by people external to the field. The nature of each of these obstacles is analyzed in detail, not only showing how each obstacle may now or in the future impede progress in the field, but also examining how it can be overcome. The paper concludes with optimism about the future of intelligent tutoring systems as a research area, an optimism which is tempered by the realization of just how daunting some of these obstacles are.
2 citations
01 Jan 1994
TL;DR: The findings of the research are applied to the adaptability issues of collaborative work environments and interfaces for different types of participants are proposed.
Abstract: A collaborative work environment implemented on computer workstations for crossfunctional teams of participants must be adaptable to the different characteristics of each participant. The characteristics that can affect the outcome of collaborative activity are listed. Different modes of interaction, alone or combined, are one way to provide the necessary adaptability. Experiments with a pictorial editor and a text editor for expert system rules are described. The findings of the research are applied to the adaptability issues of collaborative work environments. Interfaces for different types of participants are proposed.
2 citations
References
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TL;DR: The Rete Match Algorithm is an efficient method for comparing a large collection of patterns to a largeCollection of objects that finds all the objects that match each pattern.
2,562 citations
TL;DR: The MYCIN system has begun to exhibit a high level of performance as a consultant on the difficult task of selecting antibiotic therapy for bacteremia and issues of representation and design for the system are discussed.
619 citations
Proceedings Article•
22 Aug 1977TL;DR: Some of the issues that bear on the design of production system languages are explored and the adequacy of OPS is tried to show for its intended purpose.
Abstract: It has been claimed that production systems have several advantages over other representational schemes. These include the potential for general self-augmentation (i.e., learning of new behavior) and the ability to function in complex environments. The production system language, OPS, was implemented to test these claims. In this paper we explore some of the issues that bear on the design of production system languages and try to show the adequacy of OPS for its intended purpose.
173 citations
01 Jan 1978
TL;DR: In this article, the authors explore the role of conflict resolution in providing support for production systems designed to function and grow in environments that make large numbers of different, sometimes competing, and sometimes unexpected demands.
Abstract: Production systems designed to function and grow in environments that make large numbers of different, sometimes competing, and sometimes unexpected demands require support from their interpreters that is qualitatively different from the support required by systems that can be carefully hand crafted to function in constrained environments. In this chapter we explore the role of conflict resolution in providing such support Using criteria developed here, we evaluate both individual conflict resolution rules and strategies that make use of several rules.
102 citations
TL;DR: The role of conflict resolution in providing support for production systems designed to function and grow in environments that make large numbers of different, sometimes competing, and sometimes unexpected demands is explored.
Abstract: Production systems designed to function and grow in environments that make large numbers of different, sometimes competing, and sometimes unexpected demands require support from their interpreters that is qualitatively different from the support required by systems that can be carefully hand crafted to function in constrained environments. In this paper we explore the role of conflict resolution in providing such support. Using criteria developed in the paper, we evaluate both individual conflict resolution rules and strategies that make use of several rules.
102 citations