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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Book•
01 Aug 1993
TL;DR: SOAR, an implemented proposal for a foundation for a system capable of general intelligent behavior, is presented and its organizational principles, the system as currently implemented, and demonstrations of its capabilities are described.
Abstract: The ultimate goal of work in cognitive architecture is to provide the foundation for a system capable of general intelligent behavior. That is, the goal is to provide the underlying structure that would enable a system to perform the full range of cognitive tasks, employ the full range of problem solving methods and representations appropriate for the tasks, and learn about all aspects of the tasks and its performance on them. In this article we present SOAR, an implemented proposal for such an architecture. We describe its organizational principles, the system as currently implemented, and demonstrations of its capabilities.
2,429 citations
Cites background or methods from "R1: a rule-based configurer of comp..."
...Combining knowledge and problem solving R l is a well-known large knowledge-intensive expert system — consisting of 3300 rules plus a data base of over 7000 component descriptions, circa 1984 — used at Digital Equipment Corporation to configure Vax and PDP-11 computers [3, 41]....
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...The main effort has been Rl-Soar [65], which showed how Soar would realize a classical expert system, Rl , which configures Vax and PDP-11 computers at Digital Equipment Corporation [3, 41]....
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TL;DR: SOAR as discussed by the authors is an implemented proposal for such an architecture, which is described in detail in the paper "SOAR: An Implementation of Cognitive Architecture for Artificial Intelligence" and demonstrated in the SOAR project.
2,328 citations
Book•
01 Jan 1997
TL;DR: An Introduction to Nueral Networks will be warmly welcomed by a wide readership seeking an authoritative treatment of this key subject without an intimidating level of mathematics in the presentation.
Abstract: From the Publisher:
An Introduction to Nueral Networks will be warmly welcomed by a wide readership seeking an authoritative treatment of this key subject without an intimidating level of mathematics in the presentation.
2,135 citations
Book•
18 Nov 2009
TL;DR: This introduction presents the main motivations for the development of Description Logics as a formalism for representing knowledge, as well as some important basic notions underlying all systems that have been created in the DL tradition.
Abstract: This introduction presents the main motivations for the development of Description Logics (DLs) as a formalism for representing knowledge, as well as some important basic notions underlying all systems that have been created in the DL tradition. In addition, we provide the reader with an overview of the entire book and some guidelines for reading it. We first address the relationship between Description Logics and earlier semantic network and frame systems, which represent the original heritage of the field. We delve into some of the key problems encountered with the older efforts. Subsequently, we introduce the basic features of DL languages and related reasoning techniques. DL languages are then viewed as the core of knowledge representation systems, considering both the structure of a DL knowledge base and its associated reasoning services. The development of some implemented knowledge representation systems based on Description Logics and the first applications built with such systems are then reviewed. Finally, we address the relationship of Description Logics to other fields of Computer Science.We also discuss some extensions of the basic representation language machinery; these include features proposed for incorporation in the formalism that originally arose in implemented systems, and features proposed to cope with the needs of certain application domains.
1,966 citations
Cites background from "R1: a rule-based configurer of comp..."
...It has been a prominent area in artificial intelligence at least since the R1/XCON [McDermott, 1982] work on configuring computer systems....
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Book•
01 Jan 1993
TL;DR: In this article, the authors present and elaborate on past models developed to explain this type of decision making and present a new perspective of naturalistic decision making, which they argue is unproductive since it is so heavily grounded in economics and mathematics.
Abstract: This book describes the new perspective of naturalistic decision making. The point of departure is how people make decisions in complex, time-pressured, ambiguous, and changing environments. The purpose of this book is to present and elaborate on past models developed to explain this type of decision making. The central philosophy of the book is that classical decision theory has been unproductive since it is so heavily grounded in economics and mathematics. The contributors believe there is little to be learned from laboratory studies about how people actually handle difficult and interesting tasks; therefore, the book presents a critique of classical decision theory. The models of naturalistic decision making described by the contributors were derived to explain the behavior of firefighters, business people, jurors, nuclear power plant operators, and command-and-control officers. The models are unique in that they address the way people use experience to frame situations and adopt courses of action. The models explain the strengths of skilled decision makers. Naturalistic decision research requires the examination of field settings, and a section of the book covers methods for conducting meaningful research outside the laboratory. In addition, since his approach has applied value, the book covers issues of training and decision support systems.
1,602 citations
Cites background from "R1: a rule-based configurer of comp..."
...tured domains such as medical diagnosis (Shortliffe, 1976), configur ing computer equipment (McDermott, 1982), and aircraft piloting (lWuse, Geddes, & Curry, 1988; lWuse, Geddes, & Hammer, 1990)....
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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