Morgan Kaufmann (Firm)Overview
Publication Timeline
Most widely held works about
Morgan Kaufmann (Firm)
Most widely held works by
Morgan Kaufmann (Firm)
Genetic programming III videosampler human-competitive machine intelligence
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1 edition published in 1999 in English and held by 7 libraries worldwide "The enclosed ... videotape surveys the new book, Genetic programming III: Darwininan invention and problem solving. The book shows how genetic programming can automatically create a computer program to solve a problem. Fourteen of the results are competitive with human-produced results. Five infringe on previously issued patents and five others duplicate the functionality of previous patents in novel ways"--Container label.
Genetic algorithms
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1 edition published in 1990 in English and held by 6 libraries worldwide Describes genetic algorithms and how they can be used to search the space of possible solutions to find the best fit. Provides examples of problems that can be approached by genetic algorithms. Also presents the concept of classifiers, populations of "if ... then" rules, and shows how these are applied to robot-like animate problems.
The Morgan Kaufmann series in computer graphics and geometric modeling
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in English and held by 6 libraries worldwide
Genetic programming III videotape human-competitive machine intelligence
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2 editions published in 1999 in English and held by 5 libraries worldwide "This 45-minute videotape surveys the main points of the book, Genetic programming III: Darwininan invention and problem solving, and presents genetically evolved solutions to problems of analog electrical circuti design, optimal control, classification, system identification points, function learning, and computational molecular biology. Fourteen of the results are competitive with previously published human-produced results and ten infringe on previously issued patents or duplicate the functionality of previously issued patents"--Container label.
Belief, awareness, and limited reasoning (1986)
by Joseph Halpern
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1 edition published in 1986 in English and held by 5 libraries worldwide This lecture discusses three approaches to solving the problems of logical omniscience. In our logics, one agent's set of beliefs does not necessarily include all valid formulas. While one logic deals with awareness, where it is necessary to first be aware of a concept before one can have beliefs about it, another logic presents a model of local reasoning where an agent is viewed as a society of minds, each with its own cluster of beliefs.
Overview of inductive machine learning
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1 edition published in 1990 in English and held by 5 libraries worldwide Defines inductive learning, provides examples of inductive learning algorithms, and discusses the issues of introducting bias into inductive learning algorithms and the minimum description length principle.
Connectionist learning
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1 edition published in 1990 in English and held by 5 libraries worldwide Explains what connectionist learning is and how it relates to artificial intelligence. Develops a respresentation of knowledge and a representation of a simple computational system, and gives some examples of how such a system might work.
AI paradigms and cognition (1987)
by Paul S Rosenbloom
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1 edition published in 1987 in English and held by 4 libraries worldwide In this talk, Rosenbloom explores in depth the cognitive paradigm which, like cognitive psychology, is based on concepts of symbol processing and architectures. Rosenbloom describes the foundational assumptions and research methodologies of this approach and presents a case study that crosses the boundaries between human and machine learning.
Events, causality, and the frame problem (1986)
by Michael P Georgeff
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1 edition published in 1986 in English and held by 4 libraries worldwide This lecture examines some representations of events and actions to see how the "frame problem" manifests itself. Georgeff discusses classical models of action and presents a new model of action suited to reasoning about dynamic domains. Notions of independence and causality are introduced, and it is shown how these can be used to determine the effects of actions and the persistence of world properties. In particular, Georgeff shows how many of the difficulties associated with the frame problem can be avoided with such a multiagent formulation.
The Morgan Kaufmann series in representation and reasoning
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in English and held by 4 libraries worldwide
Producing explanations of expert systems
by William R Swartout
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2 editions published in 1989 in English and held by 3 libraries worldwide This lecture focuses on the technology for producing explanations of expert systems--explanation is usually regarded as a necessary feature for user acceptance of consultant-type expert systems, and an inportant tool in debugging and extending an expert system. This lecture covers explanation methods and techniques for maximizing the utility of the explanation facility. Relevant work in expert systems, natural language, and knowledge representation is also convered.
AI as an experimental science
by Bruce G Buchanan
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1 edition published in 1987 in English and held by 3 libraries worldwide Buchanan maintains that AI suffers from a lack of experimentation-and maintains that careful work in testing hypotheses experimentally can greatly enhance model building and theoretical analysis in AI. Buchanan's "empirical approach" seeks to gain more useful results out of the complexity of problems addressed by AI research.
The Morgan Kaufmann series in machine learning
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Serial
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in English and held by 3 libraries worldwide
Belief, awareness and limited reasoning (1986)
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Visual
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1 edition published in 1987 in English and held by 2 libraries worldwide
Knowledge acquisition building and maintaining the knowledge base for expert systems
by Edward Hance Shortliffe
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1 edition published in 1989 in English and held by 2 libraries worldwide The process of mapping the ill-structured knowledge of a complex domain into a form suitable for machine coding is among the most difficult and time-consuming parts of building an expert system. After a brief discussion of the conventional knowledge engineering approach to knowledge acquisition, this presentation focuses on efforts to develop computer-based tools to facilitate the process. Example systems, TEIRESIAS and ROGET, RADIX and SEEK, and OPAL are discussed as representing distinct approaches to the knowledge acquition process.
Using second-generation expert systems to manage uncertainty
by Paul Cohen
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1 edition published in 1989 in English and held by 2 libraries worldwide This lecture describes task-level architectures for several tasks that are characterized by uncertainty, and shows how task-level analyses of these tasks can produce tools to speed up the knowledge engineering process. The goal is an architecture of "shell" that is specific to a class of uncertain tasks, such as diagnosis or planning, but not specific to a particular problem, such as diagnosing heart disease. Thus, the architecture can de reused for many specific problems within a class; and knowledge acquisition tools and other knowledge engineering methods can be based on the knowledge structures and control structures of the architecture.
Evaluating applied and empirical artificial intelligence
by Paul R Cohen
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1 edition published in 1989 in English and held by 2 libraries worldwide This lecture focuses on the pressing problem of evaluation in AI research and application development. Cohen discusses the role of evaluation in a five-state, cyclic model of empirical AI projects, presenting numerous evaluation criteria and methods. The orientation of the lecture is pragmatic, emphasizing concrete recommendations for integrating evaluation into Al practice.
Is there a standard AI paradigm? (1987)
by Terry Winograd
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1 edition published in 1987 in English and held by 2 libraries worldwide Most approaches to AI share assumptions about the nature of representation, symbol manipulation, and intelligence. The approaches are all limited by basic problems of representation, assuming (falsely?) a linguistic nature to thought. Winograd describes an alternative "hermeneutic" orientation and relates it to current problems in AI research.
Case-based learning
by William D Mark
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1 edition published in 1990 in English and held by 2 libraries worldwide Summary: Discusses case based reasoning in machine learning.
Bayesian learning
by Peter Cheeseman
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1 edition published in 1990 in English and held by 2 libraries worldwide more
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Artificial intelligence Artificial intelligence--Data processing Artificial intelligence--Medical applications Artificial intelligence--Methodology Bayesian statistical decision theory Cognition Cognitive science Computational linguistics Computer animation Computer architecture Digital electronics Electronic data processing documentation Expert systems (Computer science) Expert systems (Computer science)--Computer programs Frames (Information theory) Generalized phrase structure grammar Genetic algorithms Genetic programming (Computer science) Grammar, Comparative and general Intensive care units Knowledge, Theory of Knowledge representation (Information theory) Lexical-functional grammar LISP (Computer program language) Lockheed Corporation Lockheed Missiles and Space Company Logic Machine learning Medical consultation Microsoft Corporation National Semiconductor Corporation Natural language processing (Computer science) NCR Corporation NetManage Inc Nihon Denki Kabushiki Kaisha Paradigm (Theory of knowledge) Patient monitoring--Data processing Prolog (Computer program language) Proteins--Analysis--Data processing Reasoning Respiratory intensive care Semantics, Comparative Software engineering Software maintenance System design Uncertainty (Information theory)
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Kaufmann (Firm)
MK
Morgan Kaufmann Publishers
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