WorldCat Identities

Lenat, Douglas B.

Overview
Works: 50 works in 109 publications in 4 languages and 2,083 library holdings
Genres: Case studies  Conference papers and proceedings  Instructional films  Nonfiction films 
Roles: Author, Editor, Interviewee
Classifications: QA76.9.E96, 001.642
Publication Timeline
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Most widely held works about Douglas B Lenat
  • by Louis G Robinson( )
 
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Most widely held works by Douglas B Lenat
Building expert systems by Frederick Hayes-Roth( Book )

15 editions published between 1983 and 1993 in English and held by 987 WorldCat member libraries worldwide

Building an expert system; Evaluating and expert system; Expert system tools; A typical problem for expert systems
Knowledge-based systems in artificial intelligence by Randall Davis( Book )

14 editions published between 1980 and 1991 in English and Japanese and held by 651 WorldCat member libraries worldwide

AM: discovery in mathematics as heuristic search. Example: discovering prime numbers. Agenda. Heuristics. Concepts. Results. Evaluating AM. Appendixes. Concepts. Heuristics. Trace. Bibliography. Teiresias: applications of meta-level knowledge. Explanation. Knowledge acquisition. Strategies. Conclusions. References
Building large knowledge-based systems : representation and inference in the Cyc project by Douglas B Lenat( Book )

10 editions published between 1989 and 1990 in English and held by 304 WorldCat member libraries worldwide

Cognitive economy by Douglas B Lenat( Book )

4 editions published in 1979 in English and held by 67 WorldCat member libraries worldwide

AM : an artificial intelligence approach to discovery in mathematics as heuristic search by Douglas B Lenat( Book )

6 editions published between 1976 and 1986 in English and Undetermined and held by 11 WorldCat member libraries worldwide

A program called 'AM', is described which models one aspect of elementary mathematics research: developing new concepts under the guidance of a large body of heuristic rules. 'Mathematics' is considered as a type of intelligent behavior, not as a finished product. The local heuristics communicate via an agenda mechanism, a global list of tasks for the system to perform and reasons why each task is plausible. A single task might direct AM to define a new concept, or to explore some facet of an existing concept, or to examine some empirical data for regularities, etc. Repeatedly, the program selects from the agenda the task having the best supporting reasons, and then executes it. Each concept is an active, structured knowledge module. A hundred very incomplete modules are initially provided, each one corresponding to an elementary set-theoretic concept (e.g., union). This provides a definite but immense 'space' which AM begins to explore. AM extends its knowledge base, ultimately rediscovering hundreds of common concepts (e.g., numbers) and theorems (e.g., unique factorization). This approach to plausible inference contains great powers and great limitations
Designing a rule system that searches for scientific discoveries by Douglas B Lenat( Book )

4 editions published in 1977 in English and held by 7 WorldCat member libraries worldwide

Some scientific inference tasks (including mass spectrum identification medical diagnosis, and math theory development have been successfully modelled as rule-directed search processes. These rule systems are designed quite differently from 'pure production systems'. By concentrating upon the design of one program (AM), we shall show how 13 kinds of design deviations arise from the level of sophistication of the task that the system is designed to perform, the inherent nature of the task, and the designer's view of the task. The limitations of AM suggest even more radical departures from traditional rule system architecture. All these modifications are then collected into a new, complicated set of constraints on the form of the data structures, the rules, the interpreter, and the distribution of knowledge between rules, and data structures. These new policies sacrifice uniformity in the interests of clarity, efficiency and power derivable from a thorough characterization of the task. Rule systems whose architectures conform to the new design principles will be more awkward for many tasks than would 'pure' systems. Nevertheless, the new architecture should be significantly more powerful and natural for building rule systems that do scientific discovery tasks
The nature of heuristics by Douglas B Lenat( Book )

4 editions published between 1980 and 1981 in English and held by 5 WorldCat member libraries worldwide

The bottleneck of building expert systems is knowledge acquisition, and one long-range solution is for the program to learn via discovery. New domains of knowledge can be developed by using heuristics, yet as they emerge new heuristics are needed. They in turn can be discovered by using a body of heuristics for guidance. How exactly does this process work? Must there be a separate body of 'meta-heuristics'? How intertwined are heuristics with Representation of knowledge? In trying to find new heuristics, is it cost- effective to try to improve the existing representation of knowledge, and if so how can this be automated? What is the nature of heuristics, their 'first-order theory'? What are the implications of such a theory upon the design of a program which discovers new heuristics? These questions are among those that our research -- and this paper -- address
Commonsense knowledge : papers from the AAAI Fall Symposium by Association for the Advancement of Artificial Intelligence( Book )

1 edition published in 2010 in English and held by 2 WorldCat member libraries worldwide

AI versus common sense the case for inelegance by Douglas B Lenat( Visual )

1 edition published in 1989 in English and held by 2 WorldCat member libraries worldwide

Lenat discusses two key issues in achieving artificial intelligence: how to represent knowledge and how to control its' use in drawing new inferences. He goes on to deal with some of the important attempts to put these together into intelligent systems. Also addressed are the mechanisms by which machines could be given general knowledge and the ability to analogize, select and apply appropriate knowledge, represent substances, and access, compute, deduct, or guess answers
Knowledge representation by Douglas B Lenat( Visual )

1 edition published in 1988 in English and held by 2 WorldCat member libraries worldwide

This series of videocassettes comprise a full-length course presented at the 1987 Linguistic Institute held at Stanford University
Computers vs. common sense by Douglas B Lenat( Visual )

2 editions published between 1990 and 2009 in English and held by 1 WorldCat member library worldwide

Dr. Lenat, principal scientist at MCC, a large consortium of computer and computer-related companies engaged in research on expert systems and similar topics discusses the "brittleness" of software now in use. He proposes solutions, and methodology drawing from a CYC project he and others at MCC are working on. He also draws parallels and contrasts with special libraries and databases
Künstliche Intelligenz - zu schwer für Computer?( Visual )

in German and held by 1 WorldCat member library worldwide

Schon in den fünfziger Jahren wurde diskutiert, ob die Elektronenhirne einmal ähnliche geistige Fähigkeiten haben würden wie die Menschen. Eine kleine Gruppe von Wissenschaftlern war damals überzeugt, daß dem Digitalrechner eine große Zukunft bevorsteht - eine Allzweckmaschine, programmierbar für Aufgaben, die beim Menschen Intelligenz verlangen. Seit 1958 - in der Zeit wurde in den USA das erste Seminar gegründet, daß sich mit der Erforschung der Disziplin "Künstliche Intelligenz" (KI) beschäftigen sollte - sind die Wissenschaftler darum bemüht, Zusammenhänge für den Computer begreifbar zu machen, so daß eine intelligente Lösung "automatisch" erfolgen kann. Dieser Film schildert anschaulich die Stationen, die zur Erreichung "Künstlicher Intelligenz" bisher zurückgelegt wurden
Heuristic Search for New Microcircuit Structures: An Application of Artificial Intelligence by Douglas B Lenat( )

1 edition published in 1982 in English and held by 1 WorldCat member library worldwide

Eurisko is an AI program that learns by discovery. We are applying Eurisko to the task of inventing new kinds of three- dimensional microelectronic devices that can then be fabricated using recently developed laser recrystallization techniques. Three experiments have been conducted, and some novel designs and design rules have emerged. The paradigm for Eurisko's exploration is a loop in which it generates a new device configuration, computes its I/O behavior, tries to "parse" this into a functionally it already knows about and can use, and then evaluates the results. In the first experiment, this loop took place at the level of charged carriers moving under the effects of electric fields through abutted regions of doped and undoped semiconductors. Many of the well-known primitive devices were synthesized quickly, such as the MOSFET, Junction Diode, and Bipolar Transistor. This was unsurprising, as they were short sentences in the descriptive language we had defined (a language with verbs like Abut and ApplyEField, and with nouns like nDoped Region and IntrinsicChannellRegion)
Inteligencia artificial by Douglas B Lenat( )

1 edition published in 1995 in Spanish and held by 1 WorldCat member library worldwide

Leveraging Cyc for the High Performance Knowledge Base (HPKB) Program( Book )

2 editions published in 2002 in English and held by 1 WorldCat member library worldwide

This work was part of the DARPA High Performance Knowledge Base (HPKB) program. The work described in this final report has focused on providing to the HPKB program the robustness and effectiveness of common sense knowledge as embodied in the Cyc knowledge base. Its objective was to provide intermediate level knowledge necessary to tie together high level, abstract knowledge and low level application specific knowledge to ease integration of knowledge bases and provide more efficient and more powerful inferencing mechanisms. The pre-existing Cyc KB had tens of thousands of useful rules for HPKB Integrated Knowledge Base (IKB) to inherit, and the Cyc team had already analyzed the "perennial conceptual issues" for thirteen years prior to HPKB. Early adoption of Cyc's Public Upper Ontology as the "HPKB Jumpstart Ontology" gave both the Cycorp and SAIC teams a uniform, convenient, and reliable environment to add knowledge, ask questions and gather measurements
The CycL representation language by Douglas B Lenat( Book )

1 edition published in 1988 in English and held by 1 WorldCat member library worldwide

Progress report on program-understanding systems by C. C Green( Book )

3 editions published in 1974 in English and held by 1 WorldCat member library worldwide

This progress report covers the first year and one half of work by the automatic-programming research group at the Stanford Artificial Intelligence Laboratory. Major emphasis has been placed on methods of program specification, codification of programming knowledge, and implementation of pilot systems for program writing and understanding. List processing has been used as the general problem domain for this work
Details of RLL-1 by Stanford University( Book )

3 editions published in 1980 in Undetermined and English and held by 1 WorldCat member library worldwide

Theory formation by heuristic search by Stanford University( Book )

1 edition published in 1982 in English and held by 1 WorldCat member library worldwide

CYC: A Midterm Report by Douglas B Lenat( )

1 edition published in 1990 in English and held by 1 WorldCat member library worldwide

After explicating the need for a large commonsense knowledge base spanning human consensus knowledge, we report on many of the lessons learned over the first five years of attempting its construction. We have come a long way in terms of methodology, representation language, techniques for efficient inferencing, the ontology of the knowledge base, and the environment and infrastructure in which the knowledge base is being built. We describe the evolution of Cyc and its current state and close with a look at our plans and expectations for the coming five years, including an argument for how and why the project might conclude at the end of this time
 
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Alternative Names
Douglas B. Lenat US-amerikanischer Forscher im Bereich der Künstlichen Intelligenz

Douglas Lenat Amerikaans kunstmatige intelligentie onderzoeker

Lenat, D.

Lenat, Doug

Lenat, Douglas

Дуглас Ленат

ダグラス・レナート

レナート, ダグラス・B

道格拉斯·莱纳特

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