WorldCat Identities

Hayes-Roth, Frederick

Works: 70 works in 232 publications in 1 language and 3,037 library holdings
Genres: Conference papers and proceedings 
Roles: Author, Editor
Classifications: QA76.9.E96, 001.642
Publication Timeline
Most widely held works about Frederick Hayes-Roth
Most widely held works by Frederick Hayes-Roth
Building expert systems by Frederick Hayes-Roth( Book )

21 editions published between 1983 and 1987 in English and Undetermined and held by 971 WorldCat member libraries worldwide

Building an expert system; Evaluating and expert system; Expert system tools; A typical problem for expert systems
Pattern-directed inference systems by D. A Waterman( Book )

22 editions published between 1978 and 2014 in English and Undetermined and held by 460 WorldCat member libraries worldwide

Pattern-Directed Inference Systems provides a description of the design and implementation of pattern-directed inference systems (PDIS) for various applications. The book also addresses the theoretical significance of PDIS for artificial intelligence and cognitive psychology. The book is divided into eight sections. The introduction provides a brief overview of pattern-directed inference systems, including a historical perspective, a review of basic concepts, and a survey of work in this area. Subsequent chapters address topics on architecture and design, methods for accessing and contr
Radical simplicity : transforming computers into me-centric appliances by Frederick Hayes-Roth( Book )

9 editions published between 2002 and 2003 in English and held by 227 WorldCat member libraries worldwide

Cognitive processes in planning by Barbara Hayes-Roth( Book )

5 editions published between 1976 and 1978 in English and held by 98 WorldCat member libraries worldwide

We propose a model of the planning process. Planning is the predetermination of a course of action aimed at achieving a goal. The model assumes that planning comprises the activities of a variety of cognitive 'specialists.' Each specialist can suggest certain kinds of decisions for incorporation into the plan in progress. These include decisions about: (a) how to approach the planning problem; (b) what knowledge bears on the problem; (c) what kinds of actions to try to plan; (d) what specific actions to plan; and (e) how to allocate cognitive resources during planning. Within each of these categories, different specialists suggest decisions at different levels of abstraction. The activities of the various specialists are not coordinated in any systematic way. Instead, the specialists operate opportunistically, suggesting decisions whenever promising opportunities arise. We present a detailed account of the model and illustrate its assumptions with a 'thinking aloud' protocol. We also contrast the model with earlier models of planning and discuss implications for future research. (Author)
An investigation of tools for building expert systems by D. A Waterman( Book )

4 editions published between 1981 and 1982 in English and held by 89 WorldCat member libraries worldwide

Knowledge acquisition, knowledge programming, and knowledge refinement by Frederick Hayes-Roth( Book )

5 editions published between 1976 and 1980 in English and held by 84 WorldCat member libraries worldwide

This report describes the principal findings and recommendations of a 2-year Rand research project on machine-aided knowledge acquisition and discusses the transfer of expertise from humans to machines, as well as the functions of planning, debugging, knowledge refinement, and autonomous machine learning. The relative advantages of humans and machines in the building of intelligent systems are explained. Background and guidance is provided for policymakers concerned with the research and development of machine-based learning systems. The research method adopted emphasized iterative refinement of knowledge in response to actual experience; I.E., a machine's knowledge was acquired initially from a human who provided enough concepts, constraints, and problem-solving heuristics to define some minimal level of performance. Sixty-two references are listed. (Author/FM)
Rationale and motivation for ROSIE by Rand Corporation( Book )

5 editions published in 1981 in English and held by 83 WorldCat member libraries worldwide

Network structures for distributed situation assessment by Robert Wesson( Book )

4 editions published between 1976 and 1980 in English and held by 76 WorldCat member libraries worldwide

This report investigates potential organizations for automated distributed sensor networks (DSN's), i.e., dispersed nodes that can pool their information to perform accurate situation assessment. Laboratory experiments using a message puzzle task indicate that an 'anarchic committee' organization, in which all nodes communicate with one another, consistently outperforms the 'dynamic hierarchical cone' organization, in which communications is constrained and information must be obtained only from lower-level nodes. These experiments support the contention that DSNs must emphasize cooperative problem-solving rather than problem reduction or subgoaling. A computer-based design that minimizes redundant communications in hierarchical organizations by using model-based reasoning to form expectations that guide, limit, and reduce reporting frequency is described. Finally, a method for representing hypotheses to minimize communication requirements--the process assembly network--is suggested. This concept uses active 'hypotheses processes' that are responsible for predicting their own evolution over time
Knowledge acquisition from structural descriptions by Frederick Hayes-Roth( Book )

11 editions published between 1970 and 1976 in English and held by 71 WorldCat member libraries worldwide

The learning machine described in this paper acquires concepts representable as conjunctive forms of the predicate calculus and behaviors representable as productions (antecedent-consequent pairs of such conjunctive forms): these concepts and behavior rules are inferred from sequentially presented pairs of examples by an algorithm that is probably effective for a wide variety of problems. A method for inducing knowledge by abstracting such representations from a sequence of training examples is described. The proposed learning method, interference matching, induces abstractions by finding regional properties common to two or more exemplars. Three tasks solved by a program that performs an interference matching algorithm are presented. Several problems concerning the relational representation of examples and the induction of knowledge by interference matching are also discussed. The similarities between this task and other computer science problems are indicated, and directions for future research are considered. (Author/JEG)
Cognitive economy by Douglas B Lenat( Book )

4 editions published in 1979 in English and held by 69 WorldCat member libraries worldwide

Machine-aided heuristic programming : a paradigm for knowledge engineering by Jack Mostow( Book )

5 editions published in 1979 in English and held by 68 WorldCat member libraries worldwide

Matching and abstraction in knowledge systems by Frederick Hayes-Roth( Book )

7 editions published between 1971 and 1980 in English and held by 66 WorldCat member libraries worldwide

This paper discusses the theoretical problem of matching and abstraction of concepts as the processes occur in human minds, and the structures used to represent these processes for use in automated, knowledge based systems. A basic premise of the paper is that hierarchies play a crucial role in structuring knowledge and in solving problems. Data representation, knowledge bases, partial matching, information retrieval, and synthesis of novel semantic interpretations are explored. Finally, key research issues are identified. (Sw)
Machine methods for acquiring, learning, and applying knowledge by Frederick Hayes-Roth( Book )

5 editions published between 1971 and 1978 in English and held by 64 WorldCat member libraries worldwide

A research plan for identifying and acting upon constraints that impede the development of knowledge-based intelligent systems is described. The two primary problems identified are knowledge programming, the task of which is to create an intelligent system that does what an expert says it should, and learning, the problem requiring the criticizing and expanding of current knowledge to improve overall system performance. In this view, learning produces new knowledge which must be accommodated to implement an improved system. Motivating problems, technical requirements for supporting system extensibility and improvability, and research proposed to achieve these objectives are described and related to previous research. Numerous examples are drawn for a heuristic program that plays a moderately difficult card game (hearts). Several appendices provide additional details on many technical issues, including the representation of knowledge and the structure of knowledge bases, the design of a knowledge programmer, various control methods, the design of a learning workbench, an illustrative learning scenario, and various learning heuristics. (Author)
The role of partial and best matches in knowledge systems by Frederick Hayes-Roth( Book )

6 editions published between 1970 and 1977 in English and held by 62 WorldCat member libraries worldwide

This paper is a theoretical discussion of several functions of knowledge systems based on the idea of partial matching, that is, comparison of two or more descriptions by identification of their similarities. Several knowledge system functions are described in terms of partial or best matchings including analogical reasoning, inductive inference, predicate discovery, pattern-directed inference, semantic interpretation, and speech and image understanding. It is difficult to determine admissible algorithms for these functions; economical solutions seem to be possible only for globally organized knowledge bases. Examples are provided and directions for research are discussed. (Author/SD)
Learning by Example by Frederick Hayes-Roth( Book )

4 editions published between 1970 and 1977 in English and held by 62 WorldCat member libraries worldwide

One of the most typical ways in which people learn is by inferring general rules from examples. In recent years, significant progress has been made toward understanding how learning from examples can occur, determining when it does occur, and identifying conditions that promote it. This paper reviews these results and then suggests a program of research and application that exploits improved understanding of this powerful basis for learning. (Author)
Concept learning and the recognition and classification of exemplars by Barbara Hayes-Roth( Book )

5 editions published between 1970 and 1977 in English and held by 60 WorldCat member libraries worldwide

A model is proposed for concept learning and subsequent recognition and classification of OLD and NEW exemplars. The model, called the 'property-set model', assumes that a learned exemplar is encoded in memory as a set of the component properties and combinations of properties of the exemplar. Recognition of a presented exemplar is assumed to be an increasing function of the memory strengths of its component property-sets, while classification of the exemplar is determined by its most diagnostic property-set. This model is contrasted with a number of alternative models, including prototype-plus-transformation, feature-frequency, and nearest neighbor models. In an experimental evaluation of alternative models, subjects attempted to learn two concepts by classifying exemplars in an anticipation paradigm. They then performed recognition and classification tasks with particular exemplars. On a within-subject basis, the property-set model was the best predictor of both recognition and classification performance. (Author)
Advice-taking and knowledge refinement : an iterative view of skill acquisition by Frederick Hayes-Roth( Book )

5 editions published in 1980 in English and held by 59 WorldCat member libraries worldwide

This paper discusses skill development as an iterative process that coverts advice into plans and, ultimately, converts these plans into behaviors. An overall model is summarized. While this framework treats learning as a largely domain-independent enterprise, it motivates two caveats. First, we believe every skill is largely domain-dependent. Whatever domain independence exists is attributable to the general skills that underlie initial skill acquisition and subsequent skill improvement. Initial skill acquisition depends on the general and complex advice-taking skills of understanding and knowledge programming. In this paper, we have developed many aspects of the advice-taking process. The second phase of learning also employs numerous and relatively general skills. In this phase, diagnostic and learning rules identify and rectify erroneous bits of knowledge. The second caveat on domain-independence recognizes the important role that domain knowledge plays in diagnosis and refinement. A learner's ability to apply diagnosis and learning rules will also depend on his or her familiarity with and expertise in the problem domain. Although these heuristic and learning rules are domain-independent, to apply these rules a learner must be able to reason deductively about and with the entailments of his or her domain knowledge
AI for systems management by Frederick Hayes-Roth( Book )

7 editions published between 1980 and 1981 in English and held by 57 WorldCat member libraries worldwide

Complex systems require intelligent control strategies, and AI concepts and tools may contribute to the management of such systems. At Rand, we have been developing Artificial Intelligence approaches to systems management problems. Our work involves three principal components: a model of the system to be managed; a situation assessment function that employs the model to interpret sensor data; and a planning and control function that employs the model to select desired actions. This broad approach generalizes many of the recent advanced Artificial Intelligence applications and defines a substantial R & D program. Our current R & D efforts aim at improving the technologies for modeling and simulation, for systematizing and improving situation assessment methods, and for expanding our repertoire of planning strategies and tools. This paper describes these efforts in overview. (Author)
An overview of pattern-directed inference systems by D. A Waterman( Book )

4 editions published between 1971 and 1978 in English and held by 56 WorldCat member libraries worldwide

Distinguishing theories of representation : a critique of Anderson's "Arguments concerning mental imagery" by Frederick Hayes-Roth( Book )

4 editions published between 1971 and 1978 in English and held by 53 WorldCat member libraries worldwide

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Radical simplicity : transforming computers into me-centric appliances
Alternative Names
Chejes-Rot, F.

Hayes-Roth, F.

Hayes-Roth, F. (Frederick)

Hayes-Roth, Frederick

Hayes-Roth, Rick

Hayes-Roth, Rick 1947-

Hejes-Rot, F.

Kheĭes-Rot, F.

Rick Hayes-Roth Professor, Truth Seal Corp. Founder, Entrepreneur, AI Fellow

Roth, Frederick Hayes-.

Roth, Frederick Hayes- 1947-

Хейес-Рот, Ф 1947-

ヘイズ=ロス, フレデリック

English (138)