Author: Roger C. Schank
Publisher: Elsevier
ISBN: 1483258793
Category : Language Arts & Disciplines
Languages : en
Pages : 383
Book Description
Fundamental Studies in Computer Science, 3: Conceptual Information Processing discusses a theory of natural language and implementation of that theory on a computer, focusing basically on an Artificial Intelligence approach to linguistics. This book aims to write computer programs that could understand and generate sentences, which is intended as a first step towards the long range goal of a computer that can communicate with people in natural language. The topics covered include computational linguistics, conceptual dependency theory, history of the analyzer, representation in memory, and structure of BABEL. This publication is a good reference for researchers and specialists working in the field of computer science.
Conceptual Information Processing
Author: Roger C. Schank
Publisher: Elsevier
ISBN: 1483258793
Category : Language Arts & Disciplines
Languages : en
Pages : 383
Book Description
Fundamental Studies in Computer Science, 3: Conceptual Information Processing discusses a theory of natural language and implementation of that theory on a computer, focusing basically on an Artificial Intelligence approach to linguistics. This book aims to write computer programs that could understand and generate sentences, which is intended as a first step towards the long range goal of a computer that can communicate with people in natural language. The topics covered include computational linguistics, conceptual dependency theory, history of the analyzer, representation in memory, and structure of BABEL. This publication is a good reference for researchers and specialists working in the field of computer science.
Publisher: Elsevier
ISBN: 1483258793
Category : Language Arts & Disciplines
Languages : en
Pages : 383
Book Description
Fundamental Studies in Computer Science, 3: Conceptual Information Processing discusses a theory of natural language and implementation of that theory on a computer, focusing basically on an Artificial Intelligence approach to linguistics. This book aims to write computer programs that could understand and generate sentences, which is intended as a first step towards the long range goal of a computer that can communicate with people in natural language. The topics covered include computational linguistics, conceptual dependency theory, history of the analyzer, representation in memory, and structure of BABEL. This publication is a good reference for researchers and specialists working in the field of computer science.
Conceptual Structures: Current Practices
Author: William M. Tepfenhart
Publisher: Springer Science & Business Media
ISBN: 9783540583288
Category : Computers
Languages : en
Pages : 348
Book Description
This book is the proceedings of the Second International Conference on Conceptual Structures, ICCS '94, held at College Park, Maryland, USA in August 1994. This proceedings presents, on an international scale, up-to- the-minute research results on theoretical and applicational aspects of conceptual graphs, particularly on the use of contexts in knowledge representation. The concept of contexts is highly important for all kinds of knowledge-intensive systems. The book is organized into sections on natural language understanding, rational problem solving, conceptual graph theory, contexts and canons, and data modeling.
Publisher: Springer Science & Business Media
ISBN: 9783540583288
Category : Computers
Languages : en
Pages : 348
Book Description
This book is the proceedings of the Second International Conference on Conceptual Structures, ICCS '94, held at College Park, Maryland, USA in August 1994. This proceedings presents, on an international scale, up-to- the-minute research results on theoretical and applicational aspects of conceptual graphs, particularly on the use of contexts in knowledge representation. The concept of contexts is highly important for all kinds of knowledge-intensive systems. The book is organized into sections on natural language understanding, rational problem solving, conceptual graph theory, contexts and canons, and data modeling.
The Information Processing Theory of Organization
Author: John L. Kmetz
Publisher: Routledge
ISBN: 0429780834
Category : Business & Economics
Languages : en
Pages : 345
Book Description
First published in 1998, revised in 2021, this volume develops and tests an information-processing model of organization, within the context of the accession of a new generation of a production technology. The model conceptualizes organizations as systems which accomplish their objectives through the processing of information. The book begins with the conceptual basis of the theory, developing the fundamental concepts of information, information processing, and technology. The accession of an automatic avionics tester during the 1970s and 1980s is the change in production technology used to test the theory. The theory is tested by mapping and analysing performance with a three-wave longitudinal field experiment and objective performance measures in the workflow of a very complex system, the U.S. Navy’s avionics maintenance organization. The information processing capacity of the system is shown to be the primary determinant of system performance, with or without the use of information technology. Additional support for the theory comes from newer test and information technologies deployed in the 1980s and 1990s. Implications of this theory for current generations of test technology are provided in the final chapters, along with further development of the theory and its general application to many types of organizations.
Publisher: Routledge
ISBN: 0429780834
Category : Business & Economics
Languages : en
Pages : 345
Book Description
First published in 1998, revised in 2021, this volume develops and tests an information-processing model of organization, within the context of the accession of a new generation of a production technology. The model conceptualizes organizations as systems which accomplish their objectives through the processing of information. The book begins with the conceptual basis of the theory, developing the fundamental concepts of information, information processing, and technology. The accession of an automatic avionics tester during the 1970s and 1980s is the change in production technology used to test the theory. The theory is tested by mapping and analysing performance with a three-wave longitudinal field experiment and objective performance measures in the workflow of a very complex system, the U.S. Navy’s avionics maintenance organization. The information processing capacity of the system is shown to be the primary determinant of system performance, with or without the use of information technology. Additional support for the theory comes from newer test and information technologies deployed in the 1980s and 1990s. Implications of this theory for current generations of test technology are provided in the final chapters, along with further development of the theory and its general application to many types of organizations.
21st Century Education: A Reference Handbook
Author: Thomas L Good
Publisher: SAGE
ISBN: 1412950112
Category : Education
Languages : en
Pages : 1031
Book Description
Via 100 entries or 'mini-chapters,' the SAGE 21st Century Reference Series volumes on Education will highlight the most important topics, issues, questions, and debates any student obtaining a degree in the field of education ought to have mastered for effectiveness in the 21st Century.
Publisher: SAGE
ISBN: 1412950112
Category : Education
Languages : en
Pages : 1031
Book Description
Via 100 entries or 'mini-chapters,' the SAGE 21st Century Reference Series volumes on Education will highlight the most important topics, issues, questions, and debates any student obtaining a degree in the field of education ought to have mastered for effectiveness in the 21st Century.
Conceptual Modeling of Information Systems
Author: Antoni Olivé
Publisher: Springer Science & Business Media
ISBN: 3540393900
Category : Computers
Languages : en
Pages : 471
Book Description
This brilliant textbook explains in detail the principles of conceptual modeling independently from particular methods and languages and shows how to apply them in real-world projects. The author covers all aspects of the engineering process from structural modeling over behavioral modeling to meta-modeling, and completes the presentation with an extensive case study based on the osCommerce system. Written for computer science students in classes on information systems modeling as well as for professionals feeling the need to formalize their experiences or to update their knowledge, Olivé delivers here a comprehensive treatment of all aspects of the modeling process. His book is complemented by lots of exercises and additional online teaching material.
Publisher: Springer Science & Business Media
ISBN: 3540393900
Category : Computers
Languages : en
Pages : 471
Book Description
This brilliant textbook explains in detail the principles of conceptual modeling independently from particular methods and languages and shows how to apply them in real-world projects. The author covers all aspects of the engineering process from structural modeling over behavioral modeling to meta-modeling, and completes the presentation with an extensive case study based on the osCommerce system. Written for computer science students in classes on information systems modeling as well as for professionals feeling the need to formalize their experiences or to update their knowledge, Olivé delivers here a comprehensive treatment of all aspects of the modeling process. His book is complemented by lots of exercises and additional online teaching material.
Graph-based Knowledge Representation
Author: Michel Chein
Publisher: Springer Science & Business Media
ISBN: 1848002866
Category : Mathematics
Languages : en
Pages : 428
Book Description
This book provides a de?nition and study of a knowledge representation and r- soning formalism stemming from conceptual graphs, while focusing on the com- tational properties of this formalism. Knowledge can be symbolically represented in many ways. The knowledge representation and reasoning formalism presented here is a graph formalism – knowledge is represented by labeled graphs, in the graph theory sense, and r- soning mechanisms are based on graph operations, with graph homomorphism at the core. This formalism can thus be considered as related to semantic networks. Since their conception, semantic networks have faded out several times, but have always returned to the limelight. They faded mainly due to a lack of formal semantics and the limited reasoning tools proposed. They have, however, always rebounded - cause labeled graphs, schemas and drawings provide an intuitive and easily und- standable support to represent knowledge. This formalism has the visual qualities of any graphic model, and it is logically founded. This is a key feature because logics has been the foundation for knowledge representation and reasoning for millennia. The authors also focus substantially on computational facets of the presented formalism as they are interested in knowledge representation and reasoning formalisms upon which knowledge-based systems can be built to solve real problems. Since object structures are graphs, naturally graph homomorphism is the key underlying notion and, from a computational viewpoint, this moors calculus to combinatorics and to computer science domains in which the algorithmicqualitiesofgraphshavelongbeenstudied,asindatabasesandconstraint networks.
Publisher: Springer Science & Business Media
ISBN: 1848002866
Category : Mathematics
Languages : en
Pages : 428
Book Description
This book provides a de?nition and study of a knowledge representation and r- soning formalism stemming from conceptual graphs, while focusing on the com- tational properties of this formalism. Knowledge can be symbolically represented in many ways. The knowledge representation and reasoning formalism presented here is a graph formalism – knowledge is represented by labeled graphs, in the graph theory sense, and r- soning mechanisms are based on graph operations, with graph homomorphism at the core. This formalism can thus be considered as related to semantic networks. Since their conception, semantic networks have faded out several times, but have always returned to the limelight. They faded mainly due to a lack of formal semantics and the limited reasoning tools proposed. They have, however, always rebounded - cause labeled graphs, schemas and drawings provide an intuitive and easily und- standable support to represent knowledge. This formalism has the visual qualities of any graphic model, and it is logically founded. This is a key feature because logics has been the foundation for knowledge representation and reasoning for millennia. The authors also focus substantially on computational facets of the presented formalism as they are interested in knowledge representation and reasoning formalisms upon which knowledge-based systems can be built to solve real problems. Since object structures are graphs, naturally graph homomorphism is the key underlying notion and, from a computational viewpoint, this moors calculus to combinatorics and to computer science domains in which the algorithmicqualitiesofgraphshavelongbeenstudied,asindatabasesandconstraint networks.
Invariances in Human Information Processing
Author: Thomas Lachmann
Publisher: Routledge
ISBN: 9780367432928
Category : Cognition
Languages : en
Pages : 308
Book Description
Invariances in Human Information Processing examines and identifies processing universals and how they are implemented in elementary judgemental processes. This edited collection offers evidence that these universals can be extracted and identified from observing law-like principles in perception, cognition, and action. Addressing memory operations, development, and conceptual learning, this book considers basic and complex meso- and makro-stages of information processing. Chapter authors provide theoretical accounts of cognitive processing that may offer tools for identification of functional components in brain activity in cognitive neuroscience
Publisher: Routledge
ISBN: 9780367432928
Category : Cognition
Languages : en
Pages : 308
Book Description
Invariances in Human Information Processing examines and identifies processing universals and how they are implemented in elementary judgemental processes. This edited collection offers evidence that these universals can be extracted and identified from observing law-like principles in perception, cognition, and action. Addressing memory operations, development, and conceptual learning, this book considers basic and complex meso- and makro-stages of information processing. Chapter authors provide theoretical accounts of cognitive processing that may offer tools for identification of functional components in brain activity in cognitive neuroscience
Oxford Handbook of Numerical Cognition
Author: Roi Cohen Kadosh
Publisher: Oxford University Press
ISBN: 0191036013
Category : Psychology
Languages : en
Pages : 1515
Book Description
How do we understand numbers? Do animals and babies have numerical abilities? Why do some people fail to grasp numbers, and how we can improve numerical understanding? Numbers are vital to so many areas of life: in science, economics, sports, education, and many aspects of everyday life from infancy onwards. Numerical cognition is a vibrant area that brings together scientists from different and diverse research areas (e.g., neuropsychology, cognitive psychology, developmental psychology, comparative psychology, anthropology, education, and neuroscience) using different methodological approaches (e.g., behavioral studies of healthy children and adults and of patients; electrophysiology and brain imaging studies in humans; single-cell neurophysiology in non-human primates, habituation studies in human infants and animals, and computer modeling). While the study of numerical cognition had been relatively neglected for a long time, during the last decade there has been an explosion of studies and new findings. This has resulted in an enormous advance in our understanding of the neural and cognitive mechanisms of numerical cognition. In addition, there has recently been increasing interest and concern about pupils' mathematical achievement in many countries, resulting in attempts to use research to guide mathematics instruction in schools, and to develop interventions for children with mathematical difficulties. This handbook brings together the different research areas that make up the field of numerical cognition in one comprehensive and authoritative volume. The chapters provide a broad and extensive review that is written in an accessible form for scholars and students, as well as educationalists, clinicians, and policy makers. The book covers the most important aspects of research on numerical cognition from the areas of development psychology, cognitive psychology, neuropsychology and rehabilitation, learning disabilities, human and animal cognition and neuroscience, computational modeling, education and individual differences, and philosophy. Containing more than 60 chapters by leading specialists in their fields, the Oxford Handbook of Numerical Cognition is a state-of-the-art review of the current literature.
Publisher: Oxford University Press
ISBN: 0191036013
Category : Psychology
Languages : en
Pages : 1515
Book Description
How do we understand numbers? Do animals and babies have numerical abilities? Why do some people fail to grasp numbers, and how we can improve numerical understanding? Numbers are vital to so many areas of life: in science, economics, sports, education, and many aspects of everyday life from infancy onwards. Numerical cognition is a vibrant area that brings together scientists from different and diverse research areas (e.g., neuropsychology, cognitive psychology, developmental psychology, comparative psychology, anthropology, education, and neuroscience) using different methodological approaches (e.g., behavioral studies of healthy children and adults and of patients; electrophysiology and brain imaging studies in humans; single-cell neurophysiology in non-human primates, habituation studies in human infants and animals, and computer modeling). While the study of numerical cognition had been relatively neglected for a long time, during the last decade there has been an explosion of studies and new findings. This has resulted in an enormous advance in our understanding of the neural and cognitive mechanisms of numerical cognition. In addition, there has recently been increasing interest and concern about pupils' mathematical achievement in many countries, resulting in attempts to use research to guide mathematics instruction in schools, and to develop interventions for children with mathematical difficulties. This handbook brings together the different research areas that make up the field of numerical cognition in one comprehensive and authoritative volume. The chapters provide a broad and extensive review that is written in an accessible form for scholars and students, as well as educationalists, clinicians, and policy makers. The book covers the most important aspects of research on numerical cognition from the areas of development psychology, cognitive psychology, neuropsychology and rehabilitation, learning disabilities, human and animal cognition and neuroscience, computational modeling, education and individual differences, and philosophy. Containing more than 60 chapters by leading specialists in their fields, the Oxford Handbook of Numerical Cognition is a state-of-the-art review of the current literature.
Conceptual Spaces
Author: Peter Gardenfors
Publisher: MIT Press
ISBN: 9780262572194
Category : Psychology
Languages : en
Pages : 324
Book Description
Within cognitive science, two approaches currently dominate the problem of modeling representations. The symbolic approach views cognition as computation involving symbolic manipulation. Connectionism, a special case of associationism, models associations using artificial neuron networks. Peter Gärdenfors offers his theory of conceptual representations as a bridge between the symbolic and connectionist approaches. Symbolic representation is particularly weak at modeling concept learning, which is paramount for understanding many cognitive phenomena. Concept learning is closely tied to the notion of similarity, which is also poorly served by the symbolic approach. Gärdenfors's theory of conceptual spaces presents a framework for representing information on the conceptual level. A conceptual space is built up from geometrical structures based on a number of quality dimensions. The main applications of the theory are on the constructive side of cognitive science: as a constructive model the theory can be applied to the development of artificial systems capable of solving cognitive tasks. Gärdenfors also shows how conceptual spaces can serve as an explanatory framework for a number of empirical theories, in particular those concerning concept formation, induction, and semantics. His aim is to present a coherent research program that can be used as a basis for more detailed investigations.
Publisher: MIT Press
ISBN: 9780262572194
Category : Psychology
Languages : en
Pages : 324
Book Description
Within cognitive science, two approaches currently dominate the problem of modeling representations. The symbolic approach views cognition as computation involving symbolic manipulation. Connectionism, a special case of associationism, models associations using artificial neuron networks. Peter Gärdenfors offers his theory of conceptual representations as a bridge between the symbolic and connectionist approaches. Symbolic representation is particularly weak at modeling concept learning, which is paramount for understanding many cognitive phenomena. Concept learning is closely tied to the notion of similarity, which is also poorly served by the symbolic approach. Gärdenfors's theory of conceptual spaces presents a framework for representing information on the conceptual level. A conceptual space is built up from geometrical structures based on a number of quality dimensions. The main applications of the theory are on the constructive side of cognitive science: as a constructive model the theory can be applied to the development of artificial systems capable of solving cognitive tasks. Gärdenfors also shows how conceptual spaces can serve as an explanatory framework for a number of empirical theories, in particular those concerning concept formation, induction, and semantics. His aim is to present a coherent research program that can be used as a basis for more detailed investigations.
Energetics and Human Information Processing
Author: G.M. Hockey
Publisher: Springer Science & Business Media
ISBN: 9789024733811
Category : Psychology
Languages : en
Pages : 474
Book Description
The central theme of this book is the role of energetical factors in the regulation of human information processing activity. This is a restatement of one of the classic problems of psychology - that of acc ounting for motivational or intensive aspects of behaviour, as opposed to structural or directional aspects. The term "energetics" was first used in the 1930's by Freeman, Duffy and others, following Cannon's energy mobilization view of emotion and motivation. The original concept had a limited life, probably because of its unnecessary focus on relativ ely peripheral processes, but it provided the foundations for the con cepts of "arousal" and "activation" which became the popular motivational constructs of the 1950's and 1960's. Now, these too are found wanting. The original assumptions of a unitary, non-specific process based on activation of the brain stem reticular formation have been shown to be misleading. Current work in neurobiology has demonstrated evidence of discrete neurotransmitter systems having quite specific information processing functions, and central roles in the regulation of behaviour. Even the venerable curvilinear relationship between motivation and per formance (the Yerkes-Dodson law) has been shown to be, at best, an unhelpful oversimplification. On a different front psychophysiologists have found complex patterns in the response of different bodily systems to external stressors and to task demands.
Publisher: Springer Science & Business Media
ISBN: 9789024733811
Category : Psychology
Languages : en
Pages : 474
Book Description
The central theme of this book is the role of energetical factors in the regulation of human information processing activity. This is a restatement of one of the classic problems of psychology - that of acc ounting for motivational or intensive aspects of behaviour, as opposed to structural or directional aspects. The term "energetics" was first used in the 1930's by Freeman, Duffy and others, following Cannon's energy mobilization view of emotion and motivation. The original concept had a limited life, probably because of its unnecessary focus on relativ ely peripheral processes, but it provided the foundations for the con cepts of "arousal" and "activation" which became the popular motivational constructs of the 1950's and 1960's. Now, these too are found wanting. The original assumptions of a unitary, non-specific process based on activation of the brain stem reticular formation have been shown to be misleading. Current work in neurobiology has demonstrated evidence of discrete neurotransmitter systems having quite specific information processing functions, and central roles in the regulation of behaviour. Even the venerable curvilinear relationship between motivation and per formance (the Yerkes-Dodson law) has been shown to be, at best, an unhelpful oversimplification. On a different front psychophysiologists have found complex patterns in the response of different bodily systems to external stressors and to task demands.